publications

2026

1. Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers

   Xiang Li

   arXiv preprint arXiv:2605.14407, 2026

   arXiv Bib

   @article{li2026metis,
     title = {Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers},
     author = {Li, Xiang},
     journal = {arXiv preprint arXiv:2605.14407},
     year = {2026},
   }

2. Agentic AI Enhances Physician Trust in Clinical Decision Making

   Zhiling Yan, Zhe Fang, David J. King, Ann Pongsakul, Eashan Adhikarla, Hui Ren, Sunyang Fu, Quanzheng Li, Lifang He, Xiang Li, Hongfang Liu, Yonghui Wu, and Lichao Sun

   In AMIA Annual Symposium Proceedings, 2026

   arXiv Bib

   @inproceedings{yan2026agentic,
     title = {Agentic AI Enhances Physician Trust in Clinical Decision Making},
     author = {Yan, Zhiling and Fang, Zhe and King, David J. and Pongsakul, Ann and Adhikarla, Eashan and Ren, Hui and Fu, Sunyang and Li, Quanzheng and He, Lifang and Li, Xiang and Liu, Hongfang and Wu, Yonghui and Sun, Lichao},
     booktitle = {AMIA Annual Symposium Proceedings},
     year = {2026},
   }

3. ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents-Design, Evaluation, and an OpenClaw Case Study

   Siyuan Li, Peng Shu, Churan Yu, Peilong Wang, Ruidong Zhang, Bowen Guo, Xinliang Li, Ruiyu Yan, Arif Hassan Zidan, Yi Pan, and others

   arXiv preprint arXiv:2608.05201, 2026

   arXiv Bib

   @article{li2026asteld,
     title = {ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents-Design, Evaluation, and an OpenClaw Case Study},
     author = {Li, Siyuan and Shu, Peng and Yu, Churan and Wang, Peilong and Zhang, Ruidong and Guo, Bowen and Li, Xinliang and Yan, Ruiyu and Zidan, Arif Hassan and Pan, Yi and others},
     journal = {arXiv preprint arXiv:2608.05201},
     year = {2026},
   }

4. Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection

   Pengfei Jin, Peng Shu, Sifan Song, Sekeun Kim, Qing Xiao, Cheng Chen, Tianming Liu, Xiang Li, and Quanzheng Li

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

   Bib

   @inproceedings{jin2026beyond,
     title = {Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection},
     author = {Jin, Pengfei and Shu, Peng and Song, Sifan and Kim, Sekeun and Xiao, Qing and Chen, Cheng and Liu, Tianming and Li, Xiang and Li, Quanzheng},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     volume = {40},
     number = {27},
     pages = {22417--22425},
     year = {2026},
   }

5. CoMMa: Contribution-Aware Medical Multi-Agents From A Game-Theoretic Perspective

   Yichen Wu, Yujin Oh, Sangjoon Park, Kailong Fan, Dania Daye, Hana Farzaneh, Xiang Li, Raul Uppot, and Quanzheng Li

   arXiv preprint arXiv:2602.09159, 2026

   arXiv Bib

   @article{wu2026comma,
     title = {CoMMa: Contribution-Aware Medical Multi-Agents From A Game-Theoretic Perspective},
     author = {Wu, Yichen and Oh, Yujin and Park, Sangjoon and Fan, Kailong and Daye, Dania and Farzaneh, Hana and Li, Xiang and Uppot, Raul and Li, Quanzheng},
     journal = {arXiv preprint arXiv:2602.09159},
     year = {2026},
   }

6. Conditional Masked Diffusion Language Modeling for PET/CT Impression Generation

   Yujin Oh, Xin Tie, Fang Zeng, Ning Guo, Xiang Li, Tyler Bradshaw, and Quanzheng Li

   2026

   Bib

   @misc{oh2026conditional,
     title = {Conditional Masked Diffusion Language Modeling for PET/CT Impression Generation},
     author = {Oh, Yujin and Tie, Xin and Zeng, Fang and Guo, Ning and Li, Xiang and Bradshaw, Tyler and Li, Quanzheng},
     publisher = {Society of Nuclear Medicine},
     year = {2026},
   }

7. Digital therapeutics in cancer management and the emerging role of digital phenotyping

   Bicong Cong, Bingru Xu, Xuchen Chen, Yangming Ou, Xiang Li, Kevin Liu, Shaohan Zhang, Chunyu Fu, Junxiang Fan, Zelei Liu, S Jin, Gang Li, Z Qi, B Hu, T Kong, Yefeng Zheng, XJ Kong, and J Long

   Displays, 2026

   Bib

   @article{cong2026digital,
     title = {Digital therapeutics in cancer management and the emerging role of digital phenotyping},
     author = {Cong, Bicong and Xu, Bingru and Chen, Xuchen and Ou, Yangming and Li, Xiang and Liu, Kevin and Zhang, Shaohan and Fu, Chunyu and Fan, Junxiang and Liu, Zelei and Jin, S and Li, Gang and Qi, Z and Hu, B and Kong, T and Zheng, Yefeng and Kong, XJ and Long, J},
     journal = {Displays},
     publisher = {Elsevier},
     pages = {103502},
     year = {2026},
   }

8. Evaluating GPT-4V for Multi-modal Medical Applications: A Comparative Study Using Open-source Datasets

   Zhiling Yan, Rong Zhou, Kai Zhang, Wenting Chen, Yuteng Zeng, Yi Luo, Zhe Fang, Hui Ren, Quanzheng Li, Yixuan Yuan, Tianming Liu, Carl Yang, Yong Chen, James Zou, Lifang He, Xiang Li, and Lichao Sun

   IEEE Transactions on Radiation and Plasma Medical Sciences, 2026

   Bib

   @article{yan2026evaluating,
     title = {Evaluating GPT-4V for Multi-modal Medical Applications: A Comparative Study Using Open-source Datasets},
     author = {Yan, Zhiling and Zhou, Rong and Zhang, Kai and Chen, Wenting and Zeng, Yuteng and Luo, Yi and Fang, Zhe and Ren, Hui and Li, Quanzheng and Yuan, Yixuan and Liu, Tianming and Yang, Carl and Chen, Yong and Zou, James and He, Lifang and Li, Xiang and Sun, Lichao},
     journal = {IEEE Transactions on Radiation and Plasma Medical Sciences},
     publisher = {IEEE},
     year = {2026},
   }

9. Gyral-sulcal-net: An integrated network representation of brain folding patterns

   Chao Cao, Tong Chen, Nan Zhao, Minheng Chen, Michael Qu, Zeyu Zhang, Xiao Shi, Xiang Li, Tianming Liu, and Lu Zhang

   In 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026

   Bib

   @inproceedings{cao2026gyral,
     title = {Gyral-sulcal-net: An integrated network representation of brain folding patterns},
     author = {Cao, Chao and Chen, Tong and Zhao, Nan and Chen, Minheng and Qu, Michael and Zhang, Zeyu and Shi, Xiao and Li, Xiang and Liu, Tianming and Zhang, Lu},
     booktitle = {2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
     organization = {IEEE},
     pages = {1--5},
     year = {2026},
   }

10. HandSplatter: Automated Digital Goniometry from Neural Rendering

    Emmett Chen, Neal Chen, Xiang Li, Quanzheng Li, and Siyeop Yoon

    arXiv preprint arXiv:2608.09735, 2026

    arXiv Bib

    @article{chen2026handsplatter,
      title = {HandSplatter: Automated Digital Goniometry from Neural Rendering},
      author = {Chen, Emmett and Chen, Neal and Li, Xiang and Li, Quanzheng and Yoon, Siyeop},
      journal = {arXiv preprint arXiv:2608.09735},
      year = {2026},
    }

11. Imaging-Centered Artificial Intelligence for Precision Cancer Immunotherapy: Multimodal Biomarkers, Treatment-Effect Estimation, and Clinical Translation

    Shengyang Zhong, Siyuan Li, Wanrong Yang, Zheng Zheng, Zhengliang Liu, Jin Xie, Jin Li, Bin Yi, Lin Zhao, Xiang Li, and others

    2026

    Bib

    @article{zhong2026imaging,
      title = {Imaging-Centered Artificial Intelligence for Precision Cancer Immunotherapy: Multimodal Biomarkers, Treatment-Effect Estimation, and Clinical Translation},
      author = {Zhong, Shengyang and Li, Siyuan and Yang, Wanrong and Zheng, Zheng and Liu, Zhengliang and Xie, Jin and Li, Jin and Yi, Bin and Zhao, Lin and Li, Xiang and others},
      year = {2026},
    }

12. Interpretable agentic AI system with localized reasoning for radiology

    Wenting Chen, Yi Dong, Zhaojun Ding, Yucheng Shi, Fang Zeng, Yifan Zhou, Huaqin Zhao, Yijun Luo, Tianyu Lin, Yihang Su, Yichen Wu, Jasmine Liu, Kai Zhang, Wenxuan Wang, Zhen Xiang, Tianming Liu, Ninghao Liu, Quanzheng Li, Lichao Sun, Yixuan Yuan, and Xiang Li

    npj Digital Medicine, 2026

    Bib

    @article{chen2026interpretable,
      title = {Interpretable agentic AI system with localized reasoning for radiology},
      author = {Chen, Wenting and Dong, Yi and Ding, Zhaojun and Shi, Yucheng and Zeng, Fang and Zhou, Yifan and Zhao, Huaqin and Luo, Yijun and Lin, Tianyu and Su, Yihang and Wu, Yichen and Liu, Jasmine and Zhang, Kai and Wang, Wenxuan and Xiang, Zhen and Liu, Tianming and Liu, Ninghao and Li, Quanzheng and Sun, Lichao and Yuan, Yixuan and Li, Xiang},
      journal = {npj Digital Medicine},
      publisher = {Nature Publishing Group UK London},
      year = {2026},
    }

13. Large language models for bioinformatics

    Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, and Tianming Liu

    Quantitative Biology, 2026

    Bib

    @article{ruan2026large,
      title = {Large language models for bioinformatics},
      author = {Ruan, Wei and Lyu, Yanjun and Zhang, Jing and Cai, Jiazhang and Shu, Peng and Ge, Yang and Lu, Yao and Gao, Shang and Wang, Yue and Wang, Peilong and Zhao, Lin and Wang, Tao and Liu, Yufang and Fang, Luyang and Liu, Ziyu and Liu, Zhengliang and Li, Yiwei and Wu, Zihao and Chen, Junhao and Jiang, Hanqi and Pan, Yi and Yang, Zhenyuan and Chen, Jingyuan and Liang, Shizhe and Zhang, Wei and Ma, Terry and Dou, Yuan and Zhang, Jianli and Gong, Xinyu and Gan, Qi and Zou, Yusong and Chen, Zebang and Qian, Yuanxin and Yu, Shuo and Lu, Jin and Song, Kenan and Wang, Xianqiao and Sikora, Andrea and Li, Gang and Li, Xiang and Li, Quanzheng and Wang, Yingfeng and Zhang, Lu and Abate, Yohannes and He, Lifang and Zhong, Wenxuan and Liu, Rongjie and Huang, Chao and Liu, Wei and Shen, Ye and Ma, Ping and Zhu, Hongtu and Yan, Yajun and Zhu, Dajiang and Liu, Tianming},
      journal = {Quantitative Biology},
      volume = {14},
      number = {1},
      pages = {e70014},
      year = {2026},
    }

14. LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation

    Zhiling Yan, Dingjie Song, Zhe Fang, Yisheng Ji, Xiang Li, Quanzheng Li, and Lichao Sun

    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026

    Bib

    @inproceedings{yan2026livemedbench,
      title = {LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation},
      author = {Yan, Zhiling and Song, Dingjie and Fang, Zhe and Ji, Yisheng and Li, Xiang and Li, Quanzheng and Sun, Lichao},
      booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2},
      pages = {10162--10173},
      year = {2026},
    }

15. MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led Alignment

    Kailong Fan, Anqi Pu, Yichen Wu, Wanhua Li, Yicong Li, Hanspeter Pfister, Huafeng Liu, Xiang Li, Quanzheng Li, and Ning Guo

    arXiv preprint arXiv:2603.08987, 2026

    arXiv Bib

    @article{fan2026maple,
      title = {MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led Alignment},
      author = {Fan, Kailong and Pu, Anqi and Wu, Yichen and Li, Wanhua and Li, Yicong and Pfister, Hanspeter and Liu, Huafeng and Li, Xiang and Li, Quanzheng and Guo, Ning},
      journal = {arXiv preprint arXiv:2603.08987},
      year = {2026},
    }

16. MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision–Language Models

    Yiwei Li, Yi Pan, Junhao Chen, Yifan Zhou, Hanqi Jiang, Huaqin Zhao, Yanjun Lyu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Xiang Li, and Tianming Liu

    In 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026

    Bib

    @inproceedings{li2026medqua,
      title = {MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision--Language Models},
      author = {Li, Yiwei and Pan, Yi and Chen, Junhao and Zhou, Yifan and Jiang, Hanqi and Zhao, Huaqin and Lyu, Yanjun and Liu, Zhengliang and Zhao, Lin and Zhu, Dajiang and Li, Xiang and Liu, Tianming},
      booktitle = {2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
      organization = {IEEE},
      pages = {1--5},
      year = {2026},
    }

17. MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

    Hanqi Jiang, Junhao Chen, Mingyu Kang, Hyeokjae Kwon, Yi Pan, Lifeng Chen, Weihang You, Haozhen Gong, Ruiyu Yan, Jinglei Lv, Lin Zhao, Hui Ren, Quanzheng Li, Tianming Liu, and Xiang Li

    arXiv preprint arXiv:2605.07919, 2026

    arXiv Bib

    @article{jiang2026medvigil,
      title = {MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence},
      author = {Jiang, Hanqi and Chen, Junhao and Kang, Mingyu and Kwon, Hyeokjae and Pan, Yi and Chen, Lifeng and You, Weihang and Gong, Haozhen and Yan, Ruiyu and Lv, Jinglei and Zhao, Lin and Ren, Hui and Li, Quanzheng and Liu, Tianming and Li, Xiang},
      journal = {arXiv preprint arXiv:2605.07919},
      year = {2026},
    }

18. Neuroclaw technical report

    Cheng Wang, Zhibin He, Zhihao Peng, Shengyuan Liu, Yufan Hu, Carl Yang, Lifang He, Lichao Sun, Xiang Li, and Yixuan Yuan

    arXiv preprint arXiv:2604.24696, 2026

    arXiv Bib

    @article{wang2026neuroclaw,
      title = {Neuroclaw technical report},
      author = {Wang, Cheng and He, Zhibin and Peng, Zhihao and Liu, Shengyuan and Hu, Yufan and Yang, Carl and He, Lifang and Sun, Lichao and Li, Xiang and Yuan, Yixuan},
      journal = {arXiv preprint arXiv:2604.24696},
      year = {2026},
    }

19. OpenSkill: Open-World Self-Evolution for LLM Agents

    Zhiling Yan, Dingjie Song, Hanrong Zhang, Wei Liang, Yuxuan Zhang, Yutong Dai, Lifang He, Philip S. Yu, Ran Xu, Xiang Li, and Lichao Sun

    In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026

    arXiv Bib

    @inproceedings{yan2026openskill,
      title = {OpenSkill: Open-World Self-Evolution for LLM Agents},
      author = {Yan, Zhiling and Song, Dingjie and Zhang, Hanrong and Liang, Wei and Zhang, Yuxuan and Dai, Yutong and He, Lifang and Yu, Philip S. and Xu, Ran and Li, Xiang and Sun, Lichao},
      booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2026},
    }

20. Quantum Artificial Intelligence: A Comprehensive Survey

    Hanqi Jiang, Yi Pan, Junhao Chen, Zhengliang Liu, Lichao Sun, Quanzheng Li, Lu Zhang, Dajiang Zhu, Xianqiao Wang, Wei Liu, Xiang Li, Gang Li, Wei Zhang, Lin Zhao, Xiaowei Yu, Yingfeng Wang, and Tianming Liu

    Meta-Radiology, 2026

    Bib

    @article{jiang2026quantum,
      title = {Quantum Artificial Intelligence: A Comprehensive Survey},
      author = {Jiang, Hanqi and Pan, Yi and Chen, Junhao and Liu, Zhengliang and Sun, Lichao and Li, Quanzheng and Zhang, Lu and Zhu, Dajiang and Wang, Xianqiao and Liu, Wei and Li, Xiang and Li, Gang and Zhang, Wei and Zhao, Lin and Yu, Xiaowei and Wang, Yingfeng and Liu, Tianming},
      journal = {Meta-Radiology},
      publisher = {Elsevier},
      pages = {100205},
      year = {2026},
    }

21. Quantum Machine Learning: Bridging Quantum Computing & Machine Learning

    Wei Zhang, Tianming Liu, Yingfeng Wang, Xiang Li, James Hendler, Thilanka Munasinghe, and Jennifer Wei

    In Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Frontiers, 2026

    Bib

    @inproceedings{zhang2026quantum,
      title = {Quantum Machine Learning: Bridging Quantum Computing \& Machine Learning},
      author = {Zhang, Wei and Liu, Tianming and Wang, Yingfeng and Li, Xiang and Hendler, James and Munasinghe, Thilanka and Wei, Jennifer},
      booktitle = {Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Frontiers},
      pages = {1--4},
      year = {2026},
    }

22. Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis

    Arif Hassan Zidan, Yi Pan, Bowen Guo, Xiang Li, Yu Bao, Yingfeng Wang, Tianming Liu, and Wei Zhang

    arXiv preprint arXiv:2609.01537, 2026

    arXiv Bib

    @article{zidan2026quantum,
      title = {Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis},
      author = {Zidan, Arif Hassan and Pan, Yi and Guo, Bowen and Li, Xiang and Bao, Yu and Wang, Yingfeng and Liu, Tianming and Zhang, Wei},
      journal = {arXiv preprint arXiv:2609.01537},
      year = {2026},
    }

23. Real-World Privacy-Preserving Multi-Institutional Federated Learning of Large Language Models for Automated PET Impression Generation

    Xin Tie, Zhiliang Lyu, Danyal Maqbool, John Garrett, Fang Zeng, Ning Guo, Quanzheng Li, Xiang Li, and Tyler Bradshaw

    2026

    Bib

    @misc{tie2026real,
      title = {Real-World Privacy-Preserving Multi-Institutional Federated Learning of Large Language Models for Automated PET Impression Generation},
      author = {Tie, Xin and Lyu, Zhiliang and Maqbool, Danyal and Garrett, John and Zeng, Fang and Guo, Ning and Li, Quanzheng and Li, Xiang and Bradshaw, Tyler},
      publisher = {Society of Nuclear Medicine},
      year = {2026},
    }

24. Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations

    Yubo Zhao, Shuya Lu, Jiqiao Lu, Lin Yang, Cheuk Wai Lo, Man Kin Wong, Ting Li, Hui Ren, Xiang Li, Lin Xu, Furong Wang, Jun Liang, Daihai He, and David HK Shum

    npj Digital Medicine, 2026

    Bib

    @article{zhao2026risk,
      title = {Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations},
      author = {Zhao, Yubo and Lu, Shuya and Lu, Jiqiao and Yang, Lin and Lo, Cheuk Wai and Wong, Man Kin and Li, Ting and Ren, Hui and Li, Xiang and Xu, Lin and Wang, Furong and Liang, Jun and He, Daihai and Shum, David HK},
      journal = {npj Digital Medicine},
      publisher = {Nature Publishing Group UK London},
      volume = {9},
      number = {1},
      pages = {250},
      year = {2026},
    }

25. Sharpness-Aware Sampling: Enhancing Reliability and Robustness in Low-Dose PET Denoising via Diffusion Models

    Pengfei Jin, Mingze Yuan, Sifan Song, Runqi Meng, Ling Chen, Zhiliang Lyu, Fang Zeng, Xiang Li, Quanzheng Li, and Ning Guo

    2026

    Bib

    @misc{jin2026sharpness,
      title = {Sharpness-Aware Sampling: Enhancing Reliability and Robustness in Low-Dose PET Denoising via Diffusion Models},
      author = {Jin, Pengfei and Yuan, Mingze and Song, Sifan and Meng, Runqi and Chen, Ling and Lyu, Zhiliang and Zeng, Fang and Li, Xiang and Li, Quanzheng and Guo, Ning},
      publisher = {Society of Nuclear Medicine},
      year = {2026},
    }

26. Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation

    Bowen Chen, Qiaohui Gao, Shaowen Wan, Shanhui Sun, Wei Liu, Xiang Li, Tianming Liu, and Lin Zhao

    arXiv preprint arXiv:2603.05873, 2026

    arXiv Bib

    @article{chen2026shifting,
      title = {Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation},
      author = {Chen, Bowen and Gao, Qiaohui and Wan, Shaowen and Sun, Shanhui and Liu, Wei and Li, Xiang and Liu, Tianming and Zhao, Lin},
      journal = {arXiv preprint arXiv:2603.05873},
      year = {2026},
    }

27. Susceptibility of large language models to user-driven factors in medical queries

    Kyung Ho Lim, Ujin Kang, Xiang Li, Jin Sung Kim, Young-Chul Jung, Sangjoon Park, and Byung-Hoon Kim

    Journal of Healthcare Informatics Research, 2026

    Bib

    @article{lim2026susceptibility,
      title = {Susceptibility of large language models to user-driven factors in medical queries},
      author = {Lim, Kyung Ho and Kang, Ujin and Li, Xiang and Kim, Jin Sung and Jung, Young-Chul and Park, Sangjoon and Kim, Byung-Hoon},
      journal = {Journal of Healthcare Informatics Research},
      publisher = {Springer International Publishing},
      volume = {10},
      number = {2},
      pages = {498--522},
      year = {2026},
    }

28. Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs

    Yiwei Li, Zihao Wu, Yanjun Lv, Hanqi Jiang, Weihang You, Zhengliang Liu, Dajiang Zhu, Xiang Li, Quanzheng Li, Tianming Liu, and Lin Zhao

    arXiv preprint arXiv:2603.06697, 2026

    arXiv Bib

    @article{li2026thinking,
      title = {Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs},
      author = {Li, Yiwei and Wu, Zihao and Lv, Yanjun and Jiang, Hanqi and You, Weihang and Liu, Zhengliang and Zhu, Dajiang and Li, Xiang and Li, Quanzheng and Liu, Tianming and Zhao, Lin},
      journal = {arXiv preprint arXiv:2603.06697},
      year = {2026},
    }

29. Towards a general-purpose foundation model for functional MRI analysis

    Cheng Wang, Yu Jiang, Zhihao Peng, Chenxin Li, Chang-bae Bang, Lin Zhao, Wanyi Fu, Jinglei Lv, Jorge Sepulcre, Carl Yang, Lifang He, Tianming Liu, Xue-Jun Kong, Quanzheng Li, Daniel S Barron, Anqi Qiu, Randy Hirschtick, Byung-Hoon Kim, Hongbin Han, Xiang Li, and Yixuan Yuan

    Nature Biomedical Engineering, 2026

    Bib

    @article{wang2026towards,
      title = {Towards a general-purpose foundation model for functional MRI analysis},
      author = {Wang, Cheng and Jiang, Yu and Peng, Zhihao and Li, Chenxin and Bang, Chang-bae and Zhao, Lin and Fu, Wanyi and Lv, Jinglei and Sepulcre, Jorge and Yang, Carl and He, Lifang and Liu, Tianming and Kong, Xue-Jun and Li, Quanzheng and Barron, Daniel S and Qiu, Anqi and Hirschtick, Randy and Kim, Byung-Hoon and Han, Hongbin and Li, Xiang and Yuan, Yixuan},
      journal = {Nature Biomedical Engineering},
      publisher = {Nature Publishing Group UK London},
      pages = {1--12},
      year = {2026},
    }

30. TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

    Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Jiayi Ye, Yujun Zhou, Yanbo Wang, Jiawen Shi, Qihui Zhang, Han Bao, Zhaoyi Liu, Yuan Li, Tianrui Guan, Peiran Wang, Haomin Zhuang, Dongping Chen, Kehan Guo, Andy Zou, Bryan Hooi, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jieyu Zhang, Jaehong Yoon, Kai Shu, Ranjay Krishna, Swabha Swayamdipta, Weijia Shi, Xiang Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen-Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip Yu, Neil Gong, Pin-Yu Chen, Bo Li, Dawn Song, and Xiangliang Zhang

    In International Conference on Learning Representations, 2026

    Bib

    @inproceedings{huang2026trustgen,
      title = {TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models},
      author = {Huang, Yue and Gao, Chujie and Wu, Siyuan and Wang, Haoran and Wang, Xiangqi and Ye, Jiayi and Zhou, Yujun and Wang, Yanbo and Shi, Jiawen and Zhang, Qihui and Bao, Han and Liu, Zhaoyi and Li, Yuan and Guan, Tianrui and Wang, Peiran and Zhuang, Haomin and Chen, Dongping and Guo, Kehan and Zou, Andy and Hooi, Bryan and Xiong, Caiming and Stengel-Eskin, Elias and Zhang, Hongyang and Yin, Hongzhi and Zhang, Huan and Yao, Huaxiu and Zhang, Jieyu and Yoon, Jaehong and Shu, Kai and Krishna, Ranjay and Swayamdipta, Swabha and Shi, Weijia and Li, Xiang and Hao, Yuexing and Jia, Zhihao and Li, Zhize and Chen, Xiuying and Tu, Zhengzhong and Hu, Xiyang and Zhou, Tianyi and Zhao, Jieyu and Sun, Lichao and Huang, Furong and Cohen-Sasson, Or and Sattigeri, Prasanna and Reuel, Anka and Lamparth, Max and Zhao, Yue and Dziri, Nouha and Su, Yu and Sun, Huan and Ji, Heng and Xiao, Chaowei and Bansal, Mohit and Chawla, Nitesh and Pei, Jian and Gao, Jianfeng and Backes, Michael and Yu, Philip and Gong, Neil and Chen, Pin-Yu and Li, Bo and Song, Dawn and Zhang, Xiangliang},
      booktitle = {International Conference on Learning Representations},
      volume = {2026},
      pages = {60745--60905},
      year = {2026},
    }

31. World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications

    Arif Hassan Zidan, Yi Pan, Hanqi Jiang, Ruiyu Yan, Wei Ruan, Zihao Wu, Lifeng Chen, Weihang You, Xinliang Li, Bowen Chen, Huawen Hu, Peilong Wang, Sizhuang Liu, Jing Zhang, Siyuan Li, Zhengliang Liu, Yu Bao, Lin Zhao, Lichao Sun, Dajiang Zhu, Xiang Li, Jinglei Lv, Quanzheng Li, Wei Liu, Tianming Liu, and Wei Zhang

    arXiv preprint arXiv:2606.00133, 2026

    arXiv Bib

    @article{zidan2026world,
      title = {World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications},
      author = {Zidan, Arif Hassan and Pan, Yi and Jiang, Hanqi and Yan, Ruiyu and Ruan, Wei and Wu, Zihao and Chen, Lifeng and You, Weihang and Li, Xinliang and Chen, Bowen and Hu, Huawen and Wang, Peilong and Liu, Sizhuang and Zhang, Jing and Li, Siyuan and Liu, Zhengliang and Bao, Yu and Zhao, Lin and Sun, Lichao and Zhu, Dajiang and Li, Xiang and Lv, Jinglei and Li, Quanzheng and Liu, Wei and Liu, Tianming and Zhang, Wei},
      journal = {arXiv preprint arXiv:2606.00133},
      year = {2026},
    }

2025

1. A survey of llm-based agents in medicine: How far are we from baymax?

   Wenxuan Wang, Zizhan Ma, Zheng Wang, Chenghan Wu, Jiaming Ji, Wenting Chen, Xiang Li, and Yixuan Yuan

   Findings of the Association for Computational Linguistics: ACL 2025, 2025

   Bib

   @article{wang2025survey,
     title = {A survey of llm-based agents in medicine: How far are we from baymax?},
     author = {Wang, Wenxuan and Ma, Zizhan and Wang, Zheng and Wu, Chenghan and Ji, Jiaming and Chen, Wenting and Li, Xiang and Yuan, Yixuan},
     journal = {Findings of the Association for Computational Linguistics: ACL 2025},
     pages = {10345--10359},
     year = {2025},
   }

2. AAAI Bridge Program 2025: AI for Medicine and Healthcare

   Jiayuan Zhu, Min Xu, Yueming Jin, Alex Novak, Sarim Ather, Bartlomiej W Papiez, Xiang Li, and Junde Wu

   In AAAI Bridge Program on AI for Medicine and Healthcare, 2025

   Bib

   @inproceedings{zhu2025aaai,
     title = {AAAI Bridge Program 2025: AI for Medicine and Healthcare},
     author = {Zhu, Jiayuan and Xu, Min and Jin, Yueming and Novak, Alex and Ather, Sarim and Papiez, Bartlomiej W and Li, Xiang and Wu, Junde},
     booktitle = {AAAI Bridge Program on AI for Medicine and Healthcare},
     organization = {PMLR},
     pages = {1--4},
     year = {2025},
   }

3. Ad-autogpt: An autonomous gpt for alzheimer’s disease infodemiology

   Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Shen Ye, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Angela Yao, Lu Shi, T Peng, Q Li, Z Chen, Donglan Zhang, Gengchen Mai, and Tianming Liu

   PLOS Global Public Health, 2025

   Bib

   @article{dai2025ad,
     title = {Ad-autogpt: An autonomous gpt for alzheimer’s disease infodemiology},
     author = {Dai, Haixing and Li, Yiwei and Liu, Zhengliang and Zhao, Lin and Wu, Zihao and Song, Suhang and Ye, Shen and Zhu, Dajiang and Li, Xiang and Li, Sheng and Yao, Xiaobai Angela and Shi, Lu and Peng, T and Li, Q and Chen, Z and Zhang, Donglan and Mai, Gengchen and Liu, Tianming},
     journal = {PLOS Global Public Health},
     publisher = {Public Library of Science San Francisco, CA USA},
     volume = {5},
     number = {5},
     pages = {e0004383},
     year = {2025},
   }

4. Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping

   Yifei Sun, Marshall A. Dalton, Robert D. Sanders, Yixuan Yuan, Xiang Li, Sharon L. Naismith, Fernando Calamante, and Jinglei Lv

   arXiv preprint arXiv:2507.01411, 2025

   arXiv Bib

   @article{sun2025age,
     title = {Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping},
     author = {Sun, Yifei and Dalton, Marshall A. and Sanders, Robert D. and Yuan, Yixuan and Li, Xiang and Naismith, Sharon L. and Calamante, Fernando and Lv, Jinglei},
     journal = {arXiv preprint arXiv:2507.01411},
     year = {2025},
   }

5. Auggpt: Leveraging chatgpt for text data augmentation

   Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, and Xiang Li

   IEEE Transactions on Big Data, 2025

   Bib

   @article{dai2025auggpt,
     title = {Auggpt: Leveraging chatgpt for text data augmentation},
     author = {Dai, Haixing and Liu, Zhengliang and Liao, Wenxiong and Huang, Xiaoke and Cao, Yihan and Wu, Zihao and Zhao, Lin and Xu, Shaochen and Zeng, Fang and Liu, Wei and Liu, Ninghao and Li, Sheng and Zhu, Dajiang and Cai, Hongmin and Sun, Lichao and Li, Quanzheng and Shen, Dinggang and Liu, Tianming and Li, Xiang},
     journal = {IEEE Transactions on Big Data},
     publisher = {IEEE},
     year = {2025},
   }

6. Biomedical visual instruction tuning with clinician preference alignment

   Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, and Carl Yang

   Advances in Neural Information Processing Systems, 2025

   Bib

   @article{cui2025biomedical,
     title = {Biomedical visual instruction tuning with clinician preference alignment},
     author = {Cui, Hejie and Mao, Lingjun and Liang, Xin and Zhang, Jieyu and Ren, Hui and Li, Quanzheng and Li, Xiang and Yang, Carl},
     journal = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {96449--96467},
     year = {2025},
   }

7. Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems

   Sohan Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad Reza Darbandi, Agustin Lorenzo, Junhao Chen, Md Mehedi Hasan, Arif Hassan Zidan, Eliana Gelman, Joshua A. Konfrst, Jillian Y. Russell, Katelyn Fernandes, Tianze Yang, Yiwei Li, Huaqin Zhao, Afrar Jahin, Triparna Ganguly, Shair Dinesha, Yifan Zhou, Zihao Wu, Xinliang Li, Lokesh Adusumilli, Aziza Hussein, Sagar Nookarapu, Jixin Hou, Kun Jiang, Jiaxi Li, Brenden Heinel, XianShen Xi, Hailey Hubbard, Zayna Khan, Levi Whitaker, Ivan Cao, Max Allgaier, Andrew Darby, Lin Zhao, Lu Zhang, Xiaoqiao Wang, Xiang Li, Wei Zhang, Xiaowei Yu, Dajiang Zhu, Yohannes Abate, and Tianming Liu

   arXiv preprint arXiv:2507.10722, 2025

   arXiv Bib

   @article{shankar2025bridging,
     title = {Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems},
     author = {Shankar, Sohan and Pan, Yi and Jiang, Hanqi and Liu, Zhengliang and Darbandi, Mohammad Reza and Lorenzo, Agustin and Chen, Junhao and Hasan, Md Mehedi and Zidan, Arif Hassan and Gelman, Eliana and Konfrst, Joshua A. and Russell, Jillian Y. and Fernandes, Katelyn and Yang, Tianze and Li, Yiwei and Zhao, Huaqin and Jahin, Afrar and Ganguly, Triparna and Dinesha, Shair and Zhou, Yifan and Wu, Zihao and Li, Xinliang and Adusumilli, Lokesh and Hussein, Aziza and Nookarapu, Sagar and Hou, Jixin and Jiang, Kun and Li, Jiaxi and Heinel, Brenden and Xi, XianShen and Hubbard, Hailey and Khan, Zayna and Whitaker, Levi and Cao, Ivan and Allgaier, Max and Darby, Andrew and Zhao, Lin and Zhang, Lu and Wang, Xiaoqiao and Li, Xiang and Zhang, Wei and Yu, Xiaowei and Zhu, Dajiang and Abate, Yohannes and Liu, Tianming},
     journal = {arXiv preprint arXiv:2507.10722},
     year = {2025},
   }

8. Bridging Medical Imaging and Reports: Learning Radiologist’s Nuances via Fine-Grained Multi-Modal Alignment

   Li X, Chen W, Ren H, Oh Y, Cao Y, Sharaf E, Luo J, Zhou H, Sun L, Liu T, Shen L, Li Q, and Yuan Y

   2025

   Bib

   @article{li2025bridging,
     title = {Bridging Medical Imaging and Reports: Learning Radiologist's Nuances via Fine-Grained Multi-Modal Alignment},
     author = {X, Li and W, Chen and H, Ren and Y, Oh and Y, Cao and E, Sharaf and J, Luo and H, Zhou and L, Sun and T, Liu and L, Shen and Q, Li and Y, Yuan},
     year = {2025},
   }

9. Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

   Siyeop Yoon, Sifan Song, Pengfei Jin, Matthew Tivnan, Yujin Oh, Sekeun Kim, Dufan Wu, Xiang Li, and Quanzheng Li

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

   Bib

   @inproceedings{yoon2025cascaded,
     title = {Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics},
     author = {Yoon, Siyeop and Song, Sifan and Jin, Pengfei and Tivnan, Matthew and Oh, Yujin and Kim, Sekeun and Wu, Dufan and Li, Xiang and Li, Quanzheng},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     organization = {Springer Nature Switzerland Cham},
     pages = {99--109},
     year = {2025},
   }

10. ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-institution and Multi-system Data

    Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Hanqi Jiang, Yifan Zhou, Xiaoyan Kui, Youlan Shang, Lin Zhao, Li Yang, Yaonai Wei, Zhuoyi Li, Jiadong Zhang, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Wei Liu, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, and Tuo Zhang

    IEEE Transactions on Biomedical Engineering, 2025

    Bib

    @article{zhong2025chatradio,
      title = {ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-institution and Multi-system Data},
      author = {Zhong, Tianyang and Zhao, Wei and Zhang, Yutong and Pan, Yi and Dong, Peixin and Jiang, Zuowei and Jiang, Hanqi and Zhou, Yifan and Kui, Xiaoyan and Shang, Youlan and Zhao, Lin and Yang, Li and Wei, Yaonai and Li, Zhuoyi and Zhang, Jiadong and Yang, Longtao and Chen, Hao and Zhao, Huan and Liu, Yuxiao and Zhu, Ning and Li, Yiwei and Wang, Yisong and Yao, Jiaqi and Wang, Jiaqi and Zeng, Ying and He, Lei and Zheng, Chao and Zhang, Zhixue and Li, Ming and Liu, Zhengliang and Dai, Haixing and Wu, Zihao and Zhang, Lu and Zhang, Shu and Cai, Xiaoyan and Hu, Xintao and Zhao, Shijie and Jiang, Xi and Zhang, Xin and Liu, Wei and Li, Xiang and Zhu, Dajiang and Guo, Lei and Shen, Dinggang and Han, Junwei and Liu, Tianming and Liu, Jun and Zhang, Tuo},
      journal = {IEEE Transactions on Biomedical Engineering},
      publisher = {IEEE},
      year = {2025},
    }

11. Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study

    Zhennong Chen, Sekeun Kim, Hui Ren, Sunghwan Kim, Siyeop Yoon, Quanzheng Li, and Xiang Li

    Journal of Cardiovascular Magnetic Resonance, 2025

    Bib

    @article{chen2025cine,
      title = {Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study},
      author = {Chen, Zhennong and Kim, Sekeun and Ren, Hui and Kim, Sunghwan and Yoon, Siyeop and Li, Quanzheng and Li, Xiang},
      journal = {Journal of Cardiovascular Magnetic Resonance},
      publisher = {Elsevier},
      volume = {27},
      number = {1},
      pages = {101909},
      year = {2025},
    }

12. Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging

    Yujin Oh, Robert Seifert, Yihan Cao, Christoph Clement, Justin Ferdinandus, Constantin Lapa, Alessandro Liebich, Michelle Amon, Johanna Enke, Sifan Song, Runqi Meng, Fang Zeng, Ning Guo, Xiang Li, Pedram Heidari, Axel Rominger, Kuangyu Shi, and Quanzheng Li

    arXiv preprint arXiv:2503.02824, 2025

    arXiv Bib

    @article{oh2025developing,
      title = {Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging},
      author = {Oh, Yujin and Seifert, Robert and Cao, Yihan and Clement, Christoph and Ferdinandus, Justin and Lapa, Constantin and Liebich, Alessandro and Amon, Michelle and Enke, Johanna and Song, Sifan and Meng, Runqi and Zeng, Fang and Guo, Ning and Li, Xiang and Heidari, Pedram and Rominger, Axel and Shi, Kuangyu and Li, Quanzheng},
      journal = {arXiv preprint arXiv:2503.02824},
      year = {2025},
    }

13. Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective

    In International Conference on Machine Learning, 2025

    Bib

    @inproceedings{oh2025distribution,
      title = {Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective},
      author = {},
      booktitle = {International Conference on Machine Learning},
      year = {2025},
    }

14. Echofm: Foundation model for generalizable echocardiogram analysis

    Sekeun Kim, Pengfei Jin, Sifan Song, Cheng Chen, Yiwei Li, Hui Ren, Xiang Li, Tianming Liu, and Quanzheng Li

    IEEE Transactions on Medical Imaging, 2025

    Bib

    @article{kim2025echofm,
      title = {Echofm: Foundation model for generalizable echocardiogram analysis},
      author = {Kim, Sekeun and Jin, Pengfei and Song, Sifan and Chen, Cheng and Li, Yiwei and Ren, Hui and Li, Xiang and Liu, Tianming and Li, Quanzheng},
      journal = {IEEE Transactions on Medical Imaging},
      publisher = {IEEE},
      year = {2025},
    }

15. ECHOPulse: ECG Controlled Echocardio-gram Video Generation

    Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, and Xiang Li

    In International Conference on Learning Representations, 2025

    Bib

    @inproceedings{li2025echopulse,
      title = {ECHOPulse: ECG Controlled Echocardio-gram Video Generation},
      author = {Li, Yiwei and Kim, Sekeun and Wu, Zihao and Jiang, Hanqi and Pan, Yi and Jin, Pengfei and Song, Sifan and Shi, Yucheng and Yu, Xiaowei and Yang, Tianze and Liu, Tianming and Li, Quanzheng and Li, Xiang},
      booktitle = {International Conference on Learning Representations},
      volume = {2025},
      pages = {22865--22885},
      year = {2025},
    }

16. Eg-spikeformer: Eye-gaze guided transformer on spiking neural networks for medical image analysis

    Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, and Tianming Liu

    In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025

    Bib

    @inproceedings{pan2025eg,
      title = {Eg-spikeformer: Eye-gaze guided transformer on spiking neural networks for medical image analysis},
      author = {Pan, Yi and Jiang, Hanqi and Chen, Junhao and Li, Yiwei and Zhao, Huaqin and Zhou, Yifan and Shu, Peng and Wu, Zihao and Liu, Zhengliang and Zhu, Dajiang and Li, Xiang and Abate, Yohannes and Liu, Tianming},
      booktitle = {2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)},
      organization = {IEEE},
      pages = {1--5},
      year = {2025},
    }

17. Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data

    Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, and Ninghao Liu

    In International Conference on Learning Representations, 2025

    Bib

    @inproceedings{shi2025enhancing,
      title = {Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data},
      author = {Shi, Yucheng and Li, Quanzheng and Sun, Jin and Li, Xiang and Liu, Ninghao},
      booktitle = {International Conference on Learning Representations},
      year = {2025},
    }

18. Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task

    Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Zhengliang Liu, Lin Zhao, Yiwei Li, Haixing Dai, Chong Ma, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, and Tianming Liu

    IEEE Transactions on Big Data, 2025

    Bib

    @article{wu2025exploring,
      title = {Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task},
      author = {Wu, Zihao and Zhang, Lu and Cao, Chao and Yu, Xiaowei and Liu, Zhengliang and Zhao, Lin and Li, Yiwei and Dai, Haixing and Ma, Chong and Li, Gang and Liu, Wei and Li, Quanzheng and Shen, Dinggang and Li, Xiang and Zhu, Dajiang and Liu, Tianming},
      journal = {IEEE Transactions on Big Data},
      publisher = {IEEE},
      volume = {11},
      number = {3},
      pages = {1027--1041},
      year = {2025},
    }

19. Fine-tuning open-source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications in radiation oncology

    Peilong Wang, Zhengliang Liu, Yiwei Li, Jason Holmes, Peng Shu, Lian Zhang, Xiang Li, Quanzheng Li, Brady S. Laughlin, Diego Santos Toesca, Sujay A. Vora, Samir H. Patel, Terence T. Sio, Tianming Liu, and Wei Liu

    Medical Physics, 2025

    Bib

    @article{wang2025fine,
      title = {Fine-tuning open-source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications in radiation oncology},
      author = {Wang, Peilong and Liu, Zhengliang and Li, Yiwei and Holmes, Jason and Shu, Peng and Zhang, Lian and Li, Xiang and Li, Quanzheng and Laughlin, Brady S. and Toesca, Diego Santos and Vora, Sujay A. and Patel, Samir H. and Sio, Terence T. and Liu, Tianming and Liu, Wei},
      journal = {Medical Physics},
      volume = {52},
      number = {7},
      pages = {e17985},
      year = {2025},
    }

20. GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence

    Zhibin He, Wuyang Li, Tianming Liu, Xiang Li, Junwei Han, Tuo Zhang, and Yixuan Yuan

    Medical Image Analysis, 2025

    Bib

    @article{he2025gagm,
      title = {GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence},
      author = {He, Zhibin and Li, Wuyang and Liu, Tianming and Li, Xiang and Han, Junwei and Zhang, Tuo and Yuan, Yixuan},
      journal = {Medical Image Analysis},
      publisher = {Elsevier},
      pages = {103820},
      year = {2025},
    }

21. Graph-Based Radiomic Features Enhance cancer diagnosis and treatment evaluation in PET Imaging

    Runqi Meng, Sifan Song, Xiang Li, Quanzheng Li, Dinggang Shen, and Ning Guo

    2025

    Bib

    @misc{meng2025graph,
      title = {Graph-Based Radiomic Features Enhance cancer diagnosis and treatment evaluation in PET Imaging},
      author = {Meng, Runqi and Song, Sifan and Li, Xiang and Li, Quanzheng and Shen, Dinggang and Guo, Ning},
      publisher = {Society of Nuclear Medicine},
      year = {2025},
    }

22. High-fidelity 3D lung CT synthesis in ARDS swine models using score-based 3D residual diffusion models

    Siyeop Yoon, Yujin Oh, Xiang Li, Yi Xin, Maurizio Cereda, and Quanzheng Li

    In Medical Imaging 2025: Imaging Informatics, 2025

    Bib

    @inproceedings{yoon2025high,
      title = {High-fidelity 3D lung CT synthesis in ARDS swine models using score-based 3D residual diffusion models},
      author = {Yoon, Siyeop and Oh, Yujin and Li, Xiang and Xin, Yi and Cereda, Maurizio and Li, Quanzheng},
      booktitle = {Medical Imaging 2025: Imaging Informatics},
      organization = {SPIE},
      volume = {13411},
      pages = {160--164},
      year = {2025},
    }

23. Hodgkin Lymphoma-Based Intensity Preprocessing and Foundation Model-Based Automated Segmentation

    Sifan Song, Christoph Clement, Robert Seifert, Cheng Chen, Yujin Oh, Runqi Meng, Yiqi Tian, Justin Ferdinandus, Xiang Li, Quanzheng Li, and others

    2025

    Bib

    @misc{song2025hodgkin,
      title = {Hodgkin Lymphoma-Based Intensity Preprocessing and Foundation Model-Based Automated Segmentation},
      author = {Song, Sifan and Clement, Christoph and Seifert, Robert and Chen, Cheng and Oh, Yujin and Meng, Runqi and Tian, Yiqi and Ferdinandus, Justin and Li, Xiang and Li, Quanzheng and others},
      publisher = {Society of Nuclear Medicine},
      year = {2025},
    }

24. Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians

    Tyler J Bradshaw, Xin Tie, Joshua Warner, Junjie Hu, Quanzheng Li, and Xiang Li

    Journal of Nuclear Medicine, 2025

    Bib

    @article{bradshaw2025large,
      title = {Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians},
      author = {Bradshaw, Tyler J and Tie, Xin and Warner, Joshua and Hu, Junjie and Li, Quanzheng and Li, Xiang},
      journal = {Journal of Nuclear Medicine},
      publisher = {Society of Nuclear Medicine},
      volume = {66},
      number = {2},
      pages = {173--182},
      year = {2025},
    }

25. Llm-guided decoupled probabilistic prompt for continual learning in medical image diagnosis

    Yiwen Luo, Wuyang Li, Cheng Chen, Xiang Li, Tianming Liu, Tianye Niu, and Yixuan Yuan

    IEEE Transactions on Medical Imaging, 2025

    Bib

    @article{luo2025llm,
      title = {Llm-guided decoupled probabilistic prompt for continual learning in medical image diagnosis},
      author = {Luo, Yiwen and Li, Wuyang and Chen, Cheng and Li, Xiang and Liu, Tianming and Niu, Tianye and Yuan, Yixuan},
      journal = {IEEE Transactions on Medical Imaging},
      publisher = {IEEE},
      volume = {44},
      number = {8},
      pages = {3439--3450},
      year = {2025},
    }

26. MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

    Runqi Meng, Sifan Song, Pengfei Jin, Lin Teng, Yulin Wang, Yiqun Sun, Ling Chen, Yujin Oh, Xiang Li, Quanzheng Li, Ning Guo, and Dinggang Shen

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

    Bib

    @inproceedings{meng2025mast,
      title = {MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts},
      author = {Meng, Runqi and Song, Sifan and Jin, Pengfei and Teng, Lin and Wang, Yulin and Sun, Yiqun and Chen, Ling and Oh, Yujin and Li, Xiang and Li, Quanzheng and Guo, Ning and Shen, Dinggang},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer Nature Switzerland Cham},
      pages = {310--320},
      year = {2025},
    }

27. Medical Image Computing and Computer Assisted Intervention–MICCAI 2024 Workshops: LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings

    Anna Schroder, Xiang Li, Tanveer Syeda-Mahmood, Neil P Oxtoby, Alexandra Young, Alessa Hering, Tejas S Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, and others

    2025

    Bib

    @book{schroder2025medical,
      title = {Medical Image Computing and Computer Assisted Intervention--MICCAI 2024 Workshops: LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6--10, 2024, Proceedings},
      author = {Schroder, Anna and Li, Xiang and Syeda-Mahmood, Tanveer and Oxtoby, Neil P and Young, Alexandra and Hering, Alessa and Mathai, Tejas S and Mukherjee, Pritam and Kuckertz, Sven and He, Tiantian and others},
      publisher = {Springer Nature},
      volume = {15401},
      year = {2025},
    }

28. Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications

    Wenxuan Wang, Zizhan Ma, Meidan Ding, Shiyi Zheng, Shengyuan Liu, Jie Liu, Jiaming Ji, Wenting Chen, Xiang Li, Linlin Shen, and Yixuan Yuan

    arXiv preprint arXiv:2508.00669, 2025

    arXiv Bib

    @article{wang2025medical,
      title = {Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications},
      author = {Wang, Wenxuan and Ma, Zizhan and Ding, Meidan and Zheng, Shiyi and Liu, Shengyuan and Liu, Jie and Ji, Jiaming and Chen, Wenting and Li, Xiang and Shen, Linlin and Yuan, Yixuan},
      journal = {arXiv preprint arXiv:2508.00669},
      year = {2025},
    }

29. MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for Echocardiography

    Sekeun Kim, Pengfei Jin, Cheng Chen, Kyungsang Kim, Zhiliang Lyu, Hui Ren, Sunghwan Kim, Zhengliang Liu, Aoxiao Zhong, Tianming Liu, Xiang Li, and Quanzheng Li

    IEEE Journal of Biomedical and Health Informatics, 2025

    Bib

    @article{kim2025medivista,
      title = {MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for Echocardiography},
      author = {Kim, Sekeun and Jin, Pengfei and Chen, Cheng and Kim, Kyungsang and Lyu, Zhiliang and Ren, Hui and Kim, Sunghwan and Liu, Zhengliang and Zhong, Aoxiao and Liu, Tianming and Li, Xiang and Li, Quanzheng},
      journal = {IEEE Journal of Biomedical and Health Informatics},
      publisher = {IEEE},
      year = {2025},
    }

30. MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs

    Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Changin Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, and Yuyin Zhou

    arXiv preprint arXiv:2504.00993, 2025

    arXiv Bib

    @article{wu2025medreason,
      title = {MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs},
      author = {Wu, Juncheng and Deng, Wenlong and Li, Xingxuan and Liu, Sheng and Mi, Taomian and Peng, Yifan and Xu, Ziyang and Liu, Yi and Cho, Hyunjin and Choi, Changin and Cao, Yihan and Ren, Hui and Li, Xiang and Li, Xiaoxiao and Zhou, Yuyin},
      journal = {arXiv preprint arXiv:2504.00993},
      year = {2025},
    }

31. MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts

    Shujun Xia, Haokun Lin, Yichen Wu, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, and Quanzheng Li

    arXiv preprint arXiv:2510.13500, 2025

    arXiv Bib

    @article{xia2025medrek,
      title = {MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts},
      author = {Xia, Shujun and Lin, Haokun and Wu, Yichen and Zhou, Yinan and Li, Zixuan and Wan, Zhongwei and Xing, Xingrun and Zheng, Yefeng and Li, Xiang and Shan, Caifeng and Sun, Zhenan and Li, Quanzheng},
      journal = {arXiv preprint arXiv:2510.13500},
      year = {2025},
    }

32. Mkrag: Medical knowledge retrieval augmented generation for medical question answering

    Yucheng Shi, Shaochen Xu, Tianze Yang, Zhengliang Liu, Tianming Liu, Xiang Li, and Ninghao Liu

    In AMIA Annual Symposium Proceedings, 2025

    Bib

    @inproceedings{shi2025mkrag,
      title = {Mkrag: Medical knowledge retrieval augmented generation for medical question answering},
      author = {Shi, Yucheng and Xu, Shaochen and Yang, Tianze and Liu, Zhengliang and Liu, Tianming and Li, Xiang and Liu, Ninghao},
      booktitle = {AMIA Annual Symposium Proceedings},
      volume = {2024},
      pages = {1011},
      year = {2025},
    }

33. MolQAE: Quantum autoencoder for molecular representation learning

    Yi Pan, Hanqi Jiang, Wei Ruan, Dajiang Zhu, Xiang Li, Yohannes Abate, Yingfeng Wang, and Tianming Liu

    In 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2025

    Bib

    @inproceedings{pan2025molqae,
      title = {MolQAE: Quantum autoencoder for molecular representation learning},
      author = {Pan, Yi and Jiang, Hanqi and Ruan, Wei and Zhu, Dajiang and Li, Xiang and Abate, Yohannes and Wang, Yingfeng and Liu, Tianming},
      booktitle = {2025 IEEE International Conference on Quantum Artificial Intelligence (QAI)},
      organization = {IEEE},
      pages = {98--105},
      year = {2025},
    }

34. On the trustworthiness of generative foundation models: Guideline, assessment, and perspective

    Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, and Xiangliang Zhang

    arXiv preprint arXiv:2502.14296, 2025

    arXiv Bib

    @article{huang2025trustworthiness,
      title = {On the trustworthiness of generative foundation models: Guideline, assessment, and perspective},
      author = {Huang, Yue and Gao, Chujie and Wu, Siyuan and Wang, Haoran and Wang, Xiangqi and Zhou, Yujun and Wang, Yanbo and Ye, Jiayi and Shi, Jiawen and Zhang, Qihui and Li, Yuan and Bao, Han and Liu, Zhaoyi and Guan, Tianrui and Chen, Dongping and Chen, Ruoxi and Guo, Kehan and Zou, Andy and Kuen-Yew, Bryan Hooi and Xiong, Caiming and Stengel-Eskin, Elias and Zhang, Hongyang and Yin, Hongzhi and Zhang, Huan and Yao, Huaxiu and Yoon, Jaehong and Zhang, Jieyu and Shu, Kai and Zhu, Kaijie and Krishna, Ranjay and Swayamdipta, Swabha and Shi, Taiwei and Shi, Weijia and Li, Xiang and Li, Yiwei and Hao, Yuexing and Jia, Zhihao and Li, Zhize and Chen, Xiuying and Tu, Zhengzhong and Hu, Xiyang and Zhou, Tianyi and Zhao, Jieyu and Sun, Lichao and Huang, Furong and Sasson, Or Cohen and Sattigeri, Prasanna and Reuel, Anka and Lamparth, Max and Zhao, Yue and Dziri, Nouha and Su, Yu and Sun, Huan and Ji, Heng and Xiao, Chaowei and Bansal, Mohit and Chawla, Nitesh V. and Pei, Jian and Gao, Jianfeng and Backes, Michael and Yu, Philip S. and Gong, Neil Zhenqiang and Chen, Pin-Yu and Li, Bo and Zhang, Xiangliang},
      journal = {arXiv preprint arXiv:2502.14296},
      year = {2025},
    }

35. OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging

    Sifan Song, Siyeop Yoon, Pengfei Jin, Sekeun Kim, Matthew Tivnan, Yujin Oh, Runqi Meng, Ling Chen, Zhiliang Lyu, Dufan Wu, Ning Guo, Xiang Li, and Quanzheng Li

    arXiv preprint arXiv:2505.04899, 2025

    arXiv Bib

    @article{song2025owt,
      title = {OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging},
      author = {Song, Sifan and Yoon, Siyeop and Jin, Pengfei and Kim, Sekeun and Tivnan, Matthew and Oh, Yujin and Meng, Runqi and Chen, Ling and Lyu, Zhiliang and Wu, Dufan and Guo, Ning and Li, Xiang and Li, Quanzheng},
      journal = {arXiv preprint arXiv:2505.04899},
      year = {2025},
    }

36. PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit

    Zhengliang Liu, Shaochen Xu, Zihao Wu, Brian Murray, Erin F. Barreto, Sheng Li, Wei Liu, Xiang Li, Tianming Liu, and Andrea Sikora

    BMC Medical Informatics and Decision Making, 2025

    Bib

    @article{liu2025pharmacygpt,
      title = {PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit},
      author = {Liu, Zhengliang and Xu, Shaochen and Wu, Zihao and Murray, Brian and Barreto, Erin F. and Li, Sheng and Liu, Wei and Li, Xiang and Liu, Tianming and Sikora, Andrea},
      journal = {BMC Medical Informatics and Decision Making},
      publisher = {Springer},
      volume = {25},
      number = {1},
      pages = {398},
      year = {2025},
    }

37. Prompt engineering for healthcare: Methodologies and applications

    Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Huawen Hu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Yi Pan, Zhengliang Liu, Lichao Sun, Xiang Li, Bao Ge, Xi Jiang, Yixuan Yuan, Dinggang Shen, Tianming Liu, and Shu Zhang

    Meta-Radiology, 2025

    Bib

    @article{wang2025prompt,
      title = {Prompt engineering for healthcare: Methodologies and applications},
      author = {Wang, Jiaqi and Shi, Enze and Yu, Sigang and Wu, Zihao and Hu, Huawen and Ma, Chong and Dai, Haixing and Yang, Qiushi and Kang, Yanqing and Wu, Jinru and Yue, Chenxi and Zhang, Haiyang and Liu, Yiheng and Pan, Yi and Liu, Zhengliang and Sun, Lichao and Li, Xiang and Ge, Bao and Jiang, Xi and Yuan, Yixuan and Shen, Dinggang and Liu, Tianming and Zhang, Shu},
      journal = {Meta-Radiology},
      publisher = {Elsevier},
      pages = {100190},
      year = {2025},
    }

38. Radiology-GPT: a large language model for radiology

    Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Hanqi Jiang, Yi Pan, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Lichao Sun, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, and Xiang Li

    Meta-Radiology, 2025

    Bib

    @article{liu2025radiology,
      title = {Radiology-GPT: a large language model for radiology},
      author = {Liu, Zhengliang and Li, Yiwei and Shu, Peng and Zhong, Aoxiao and Jiang, Hanqi and Pan, Yi and Yang, Longtao and Ju, Chao and Wu, Zihao and Ma, Chong and Chen, Cheng and Kim, Sekeun and Dai, Haixing and Zhao, Lin and Sun, Lichao and Zhu, Dajiang and Liu, Jun and Liu, Wei and Shen, Dinggang and Li, Quanzheng and Liu, Tianming and Li, Xiang},
      journal = {Meta-Radiology},
      publisher = {Elsevier},
      volume = {3},
      number = {2},
      pages = {100153},
      year = {2025},
    }

39. Radiomic Feature Similarity Predicts Treatment Response: Assessing Inter-Tumor Heterogeneity

    Runqi Meng, Christoph Clement, Robert Seifert, Justin Ferdinandus, Xiang Li, Quanzheng Li, Sifan Song, Yujin Oh, Yiqi Tian, Axel Rominger, and others

    2025

    Bib

    @misc{meng2025radiomic,
      title = {Radiomic Feature Similarity Predicts Treatment Response: Assessing Inter-Tumor Heterogeneity},
      author = {Meng, Runqi and Clement, Christoph and Seifert, Robert and Ferdinandus, Justin and Li, Xiang and Li, Quanzheng and Song, Sifan and Oh, Yujin and Tian, Yiqi and Rominger, Axel and others},
      publisher = {Society of Nuclear Medicine},
      year = {2025},
    }

40. SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

    Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, and Lichao Sun

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

    Bib

    @inproceedings{yan2025samed,
      title = {SAMed-2: Selective Memory Enhanced Medical Segment Anything Model},
      author = {Yan, Zhiling and Song, Sifan and Song, Dingjie and Li, Yiwei and Zhou, Rong and Sun, Weixiang and Chen, Zhennong and Kim, Sekeun and Ren, Hui and Liu, Tianming and Li, Quanzheng and Li, Xiang and He, Lifang and Sun, Lichao},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer Nature Switzerland Cham},
      pages = {540--550},
      year = {2025},
    }

41. SearchRAG: can search engines be helpful for LLM-based medical question answering?

    Yucheng Shi, Tianze Yang, Canyu Chen, Quanzheng Li, Tianming Liu, Xiang Li, and Ninghao Liu

    In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025

    Bib

    @inproceedings{shi2025searchrag,
      title = {SearchRAG: can search engines be helpful for LLM-based medical question answering?},
      author = {Shi, Yucheng and Yang, Tianze and Chen, Canyu and Li, Quanzheng and Liu, Tianming and Li, Xiang and Liu, Ninghao},
      booktitle = {2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
      organization = {IEEE},
      pages = {4051--4056},
      year = {2025},
    }

42. Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface

    Siyeop Yoon, Yujin Oh, Pengfei Jin, Sifan Song, Matthew Tivnan, Dufan Wu, Xiang Li, and Quanzheng Li

    arXiv preprint arXiv:2505.22511, 2025

    arXiv Bib

    @article{yoon2025surf2ct,
      title = {Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface},
      author = {Yoon, Siyeop and Oh, Yujin and Jin, Pengfei and Song, Sifan and Tivnan, Matthew and Wu, Dufan and Li, Xiang and Li, Quanzheng},
      journal = {arXiv preprint arXiv:2505.22511},
      year = {2025},
    }

43. The SAGES critical view of safety challenge: A global benchmark for AI-assisted surgical quality assessment

    Deepak Alapatt, Jennifer A. Eckhoff, Zhiliang Lyu, Yutong Ban, Jean-Paul Mazellier, Sarah Choksi, Kunyi Yang, Li, Quanzheng, Filippo Filicori, Xiang Li, Pietro Mascagni, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, and Nicolas Padoy

    arXiv preprint arXiv:2509.17100, 2025

    arXiv Bib

    @article{alapatt2025sages,
      title = {The SAGES critical view of safety challenge: A global benchmark for AI-assisted surgical quality assessment},
      author = {Alapatt, Deepak and Eckhoff, Jennifer A. and Lyu, Zhiliang and Ban, Yutong and Mazellier, Jean-Paul and Choksi, Sarah and Yang, Kunyi and Li and Quanzheng and Filicori, Filippo and Li, Xiang and Mascagni, Pietro and Hashimoto, Daniel A. and Rosman, Guy and Meireles, Ozanan R. and Padoy, Nicolas},
      journal = {arXiv preprint arXiv:2509.17100},
      year = {2025},
    }

44. Toward AI-Ready Medical Imaging Data

    Milen Nikolov, Edilberto Amorim, J Harry Caufield, Nayoon Gim, Nomi L Harris, Jared Houghtaling, Xiang Li, Danielle Morrison, Anaı̈s Rameau, Jamie Shaffer, and others

    arXiv preprint arXiv:2512.03541, 2025

    arXiv Bib

    @article{nikolov2025toward,
      title = {Toward AI-Ready Medical Imaging Data},
      author = {Nikolov, Milen and Amorim, Edilberto and Caufield, J Harry and Gim, Nayoon and Harris, Nomi L and Houghtaling, Jared and Li, Xiang and Morrison, Danielle and Rameau, Ana{\"\i}s and Shaffer, Jamie and others},
      journal = {arXiv preprint arXiv:2512.03541},
      year = {2025},
    }

45. TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching

    Shengyuan Liu, Wenting Chen, Boyun Zheng, Wentao Pan, Xiang Li, and Yixuan Yuan

    arXiv preprint arXiv:2505.24687, 2025

    arXiv Bib

    @article{liu2025tumorgen,
      title = {TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching},
      author = {Liu, Shengyuan and Chen, Wenting and Zheng, Boyun and Pan, Wentao and Li, Xiang and Yuan, Yixuan},
      journal = {arXiv preprint arXiv:2505.24687},
      year = {2025},
    }

46. Voxel-level brain states prediction using swin transformer

    Yifei Sun, Daniel Chahine, Qinghao Wen, Tianming Liu, Xiang Li, Yixuan Yuan, Fernando Calamante, and Jinglei Lv

    IEEE Journal of Biomedical and Health Informatics, 2025

    Bib

    @article{sun2025voxel,
      title = {Voxel-level brain states prediction using swin transformer},
      author = {Sun, Yifei and Chahine, Daniel and Wen, Qinghao and Liu, Tianming and Li, Xiang and Yuan, Yixuan and Calamante, Fernando and Lv, Jinglei},
      journal = {IEEE Journal of Biomedical and Health Informatics},
      publisher = {IEEE},
      volume = {29},
      number = {12},
      pages = {8719--8726},
      year = {2025},
    }

2024

1. A generalist vision–language foundation model for diverse biomedical tasks

   Kai Zhang, Rong Zhou, Eashan Adhikarla, Zhiling Yan, Yixin Liu, Jun Yu, Zhengliang Liu, Xun Chen, Brian D Davison, Hui Ren, Jing Huang, Chen Chen, Yuyin Zhou, Sunyang Fu, Wei Liu, Tianming Liu, Xiang Li, Yong Chen, Lifang He, James Zou, Quanzheng Li, Hongfang Liu, and Lichao Sun

   Nature Medicine, 2024

   Bib

   @article{zhang2024generalist,
     title = {A generalist vision--language foundation model for diverse biomedical tasks},
     author = {Zhang, Kai and Zhou, Rong and Adhikarla, Eashan and Yan, Zhiling and Liu, Yixin and Yu, Jun and Liu, Zhengliang and Chen, Xun and Davison, Brian D and Ren, Hui and Huang, Jing and Chen, Chen and Zhou, Yuyin and Fu, Sunyang and Liu, Wei and Liu, Tianming and Li, Xiang and Chen, Yong and He, Lifang and Zou, James and Li, Quanzheng and Liu, Hongfang and Sun, Lichao},
     journal = {Nature Medicine},
     publisher = {Nature Publishing Group US New York},
     volume = {30},
     number = {11},
     pages = {3129--3141},
     year = {2024},
   }

2. Adaptation of Prompt-enabled Segment-Anything-Model Enhance the Accuracy and Generalizability of Cine Cardiac Magnetic Resonance Segmentation

   Zhennong Chen, SEKEUN KIM, Hui Ren, Sunghwan Kim, Siyeop Yoon, Quanzheng Li, and Xiang Li

   Circulation, 2024

   Bib

   @article{chen2024adaptation,
     title = {Adaptation of Prompt-enabled Segment-Anything-Model Enhance the Accuracy and Generalizability of Cine Cardiac Magnetic Resonance Segmentation},
     author = {Chen, Zhennong and KIM, SEKEUN and Ren, Hui and Kim, Sunghwan and Yoon, Siyeop and Li, Quanzheng and Li, Xiang},
     journal = {Circulation},
     publisher = {Lippincott Williams \& Wilkins Hagerstown, MD},
     volume = {150},
     number = {Suppl\_1},
     pages = {A4143921--A4143921},
     year = {2024},
   }

3. An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes

   Jiqiao Lu, Shuya Lu, Yubo Zhao, Lin Yang, Wing Chi Chan, Jinxiao Lian, Cheuk Wai Lo, Man Kin Wong, Ting Li, Hui Ren, Xiang Li, Lin Xu, Jun Liang, and David HK Shum

   The Innovation Medicine, 2024

   Bib

   @article{lu2024electronic,
     title = {An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes},
     author = {Lu, Jiqiao and Lu, Shuya and Zhao, Yubo and Yang, Lin and Chan, Wing Chi and Lian, Jinxiao and Lo, Cheuk Wai and Wong, Man Kin and Li, Ting and Ren, Hui and Li, Xiang and Xu, Lin and Liang, Jun and Shum, David HK},
     journal = {The Innovation Medicine},
     publisher = {The Innovation Medicine},
     volume = {3},
     number = {1},
     pages = {100106--1},
     year = {2024},
   }

4. An iterative optimizing framework for radiology report summarization with ChatGPT

   Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, and Xiang Li

   IEEE Transactions on Artificial Intelligence, 2024

   Bib

   @article{ma2024iterative,
     title = {An iterative optimizing framework for radiology report summarization with ChatGPT},
     author = {Ma, Chong and Wu, Zihao and Wang, Jiaqi and Xu, Shaochen and Wei, Yaonai and Liu, Zhengliang and Zeng, Fang and Jiang, Xi and Guo, Lei and Cai, Xiaoyan and Zhang, Shu and Zhang, Tuo and Zhu, Dajiang and Shen, Dinggang and Liu, Tianming and Li, Xiang},
     journal = {IEEE Transactions on Artificial Intelligence},
     publisher = {IEEE},
     volume = {5},
     number = {8},
     pages = {4163--4175},
     year = {2024},
   }

5. Artificial General Intelligence for Medical Imaging Analysis

   Xiang Li, Lin Zhao, Lu Zhang, Zihao Wu, Zhengliang Liu, Hanqi Jiang, Chao Cao, Shaochen Xu, Yiwei Li, Haixing Dai, Yixuan Yuan, J Liu, Gang Li, Dajiang Zhu, P Yan, Q Li, W Liu, Tianming Liu, and Dinggang Shen

   IEEE Reviews in Biomedical Engineering, 2024

   Bib

   @article{li2024artificial,
     title = {Artificial General Intelligence for Medical Imaging Analysis},
     author = {Li, Xiang and Zhao, Lin and Zhang, Lu and Wu, Zihao and Liu, Zhengliang and Jiang, Hanqi and Cao, Chao and Xu, Shaochen and Li, Yiwei and Dai, Haixing and Yuan, Yixuan and Liu, J and Li, Gang and Zhu, Dajiang and Yan, P and Li, Q and Liu, W and Liu, Tianming and Shen, Dinggang},
     journal = {IEEE Reviews in Biomedical Engineering},
     publisher = {IEEE},
     year = {2024},
   }

6. Assessment of valve regurgitation severity via contrastive learning and multi-view video integration

   Sekeun Kim, Hui Ren, Jerome Charton, Jiang Hu, Carola A Maraboto Gonzalez, Jay Khambhati, Justin Cheng, Jeena DeFrancesco, Anam A Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson N Cardoso, Bruno B Lima, Suzannah McKinney, Michael H Picard, Xiang Li, and Quanzheng Li

   Physics in Medicine & Biology, 2024

   Bib

   @article{kim2024assessment,
     title = {Assessment of valve regurgitation severity via contrastive learning and multi-view video integration},
     author = {Kim, Sekeun and Ren, Hui and Charton, Jerome and Hu, Jiang and Gonzalez, Carola A Maraboto and Khambhati, Jay and Cheng, Justin and DeFrancesco, Jeena and Waheed, Anam A and Marciniak, Sylwia and Moura, Filipe and Cardoso, Rhanderson N and Lima, Bruno B and McKinney, Suzannah and Picard, Michael H and Li, Xiang and Li, Quanzheng},
     journal = {Physics in Medicine \& Biology},
     publisher = {IOP Publishing},
     volume = {69},
     number = {4},
     pages = {045020},
     year = {2024},
   }

7. AUTOMATED DETECTION AND MANAGEMENT OF VAVLULAR HEART DISEASE USING MACHINE LEARNING

   Eigil Samset, Xiang Li, Quanzheng Li, Michael H Picard, Hui Ren, Carola Alejandra Maraboto Gonzalez, Jerome Charton, Abhijit Patil, Mark James Perkins, and others

   Nov 2024

   US Patent App. 18/313,931

   Bib

   @misc{samset2024automated,
     title = {AUTOMATED DETECTION AND MANAGEMENT OF VAVLULAR HEART DISEASE USING MACHINE LEARNING},
     author = {Samset, Eigil and Li, Xiang and Li, Quanzheng and Picard, Michael H and Ren, Hui and Gonzalez, Carola Alejandra Maraboto and Charton, Jerome and Patil, Abhijit and Perkins, Mark James and others},
     year = {2024},
     month = nov,
     note = {US Patent App. 18/313,931}
   }

8. Bora: Biomedical Generalist Video Generation Model

   Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, and Lichao Sun

   arXiv preprint arXiv:2407.08944, 2024

   arXiv Bib

   @article{sun2024bora,
     title = {Bora: Biomedical Generalist Video Generation Model},
     author = {Sun, Weixiang and You, Xiaocao and Zheng, Ruizhe and Yuan, Zhengqing and Li, Xiang and He, Lifang and Li, Quanzheng and Sun, Lichao},
     journal = {arXiv preprint arXiv:2407.08944},
     year = {2024},
   }

9. Cardiac Magnetic Resonance 2D+ T Short-and Long-axis Segmentation via Spatio-temporal SAM Adaptation

   Zhennong Chen, Sekeun Kim, Hui Ren, Quanzheng Li, and Xiang Li

   arXiv e-prints, 2024

   Bib

   @article{chen2024cardiac,
     title = {Cardiac Magnetic Resonance 2D+ T Short-and Long-axis Segmentation via Spatio-temporal SAM Adaptation},
     author = {Chen, Zhennong and Kim, Sekeun and Ren, Hui and Li, Quanzheng and Li, Xiang},
     journal = {arXiv e-prints},
     pages = {arXiv--2403},
     year = {2024},
   }

10. CE-GAN: Community evolutionary generative adversarial network for Alzheimer’s disease risk prediction

    Xia-An Bi, Zicheng Yang, YangJun Huang, Zhao-Xu Xing, Luyun Xu, Zihao Wu, Zhengliang Liu, Xiang Li, and Tianming Liu

    IEEE Transactions on Medical Imaging, 2024

    Bib

    @article{bi2024gan,
      title = {CE-GAN: Community evolutionary generative adversarial network for Alzheimer’s disease risk prediction},
      author = {Bi, Xia-An and Yang, Zicheng and Huang, YangJun and Xing, Zhao-Xu and Xu, Luyun and Wu, Zihao and Liu, Zhengliang and Li, Xiang and Liu, Tianming},
      journal = {IEEE Transactions on Medical Imaging},
      publisher = {IEEE},
      volume = {43},
      number = {11},
      pages = {3663--3675},
      year = {2024},
    }

11. Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

    Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li, and Alzheimer’s Disease Neuroimaging Initiative

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

    Bib

    @inproceedings{xiao2024conditional,
      title = {Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction},
      author = {Xiao, Qing and Yoon, Siyeop and Ren, Hui and Tivnan, Matthew and Sun, Lichao and Li, Quanzheng and Liu, Tianming and Zhang, Yu and Li, Xiang and Initiative, Alzheimer’s Disease Neuroimaging},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer Nature Switzerland Cham},
      pages = {78--87},
      year = {2024},
    }

12. Contrastive Learning Via Equivariant Representation

    Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, and Quanzheng Li

    arXiv preprint arXiv:2406.00262, 2024

    arXiv Bib

    @article{song2024contrastive,
      title = {Contrastive Learning Via Equivariant Representation},
      author = {Song, Sifan and Wang, Jinfeng and Zhao, Qiaochu and Li, Xiang and Wu, Dufan and Stefanidis, Angelos and Su, Jionglong and Zhou, S. Kevin and Li, Quanzheng},
      journal = {arXiv preprint arXiv:2406.00262},
      year = {2024},
    }

13. Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System

    Fang Zeng, Zhiliang Lyu, Quanzheng Li, and Xiang Li

    arXiv preprint arXiv:2412.06828, 2024

    arXiv Bib

    @article{zeng2024enhancing,
      title = {Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System},
      author = {Zeng, Fang and Lyu, Zhiliang and Li, Quanzheng and Li, Xiang},
      journal = {arXiv preprint arXiv:2412.06828},
      year = {2024},
    }

14. Evaluation of OpenAI o1: Opportunities and Challenges of AGI

    Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, and Tianming Liu

    arXiv preprint arXiv:2409.18486, 2024

    arXiv Bib

    @article{zhong2024evaluation,
      title = {Evaluation of OpenAI o1: Opportunities and Challenges of AGI},
      author = {Zhong, Tianyang and Liu, Zhengliang and Pan, Yi and Zhang, Yutong and Zhou, Yifan and Liang, Shizhe and Wu, Zihao and Lyu, Yanjun and Shu, Peng and Yu, Xiaowei and Cao, Chao and Jiang, Hanqi and Chen, Hanxu and Li, Yiwei and Chen, Junhao and Hu, Huawen and Liu, Yihen and Zhao, Huaqin and Xu, Shaochen and Dai, Haixing and Zhao, Lin and Zhang, Ruidong and Zhao, Wei and Yang, Zhenyuan and Chen, Jingyuan and Wang, Peilong and Ruan, Wei and Wang, Hui and Zhao, Huan and Zhang, Jing and Ren, Yiming and Qin, Shihuan and Chen, Tong and Li, Jiaxi and Zidan, Arif Hassan and Jahin, Afrar and Chen, Minheng and Xia, Sichen and Holmes, Jason and Zhuang, Yan and Wang, Jiaqi and Xu, Bochen and Xia, Weiran and Yu, Jichao and Tang, Kaibo and Yang, Yaxuan and Sun, Bolun and Yang, Tao and Lu, Guoyu and Wang, Xianqiao and Chai, Lilong and Li, He and Lu, Jin and Sun, Lichao and Zhang, Xin and Ge, Bao and Hu, Xintao and Zhang, Lian and Zhou, Hua and Zhang, Lu and Zhang, Shu and Liu, Ninghao and Jiang, Bei and Kong, Linglong and Xiang, Zhen and Ren, Yudan and Liu, Jun and Jiang, Xi and Bao, Yu and Zhang, Wei and Li, Xiang and Li, Gang and Liu, Wei and Shen, Dinggang and Sikora, Andrea and Zhai, Xiaoming and Zhu, Dajiang and Liu, Tianming},
      journal = {arXiv preprint arXiv:2409.18486},
      year = {2024},
    }

15. Eye-gaze guided multi-modal alignment for medical representation learning

    Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, and Xiang Li

    Advances in Neural Information Processing Systems, 2024

    Bib

    @article{ma2024eye,
      title = {Eye-gaze guided multi-modal alignment for medical representation learning},
      author = {Ma, Chong and Jiang, Hanqi and Chen, Wenting and Li, Yiwei and Wu, Zihao and Yu, Xiaowei and Liu, Zhengliang and Guo, Lei and Zhu, Dajiang and Zhang, Tuo and Shen, Dinggang and Liu, Tianming and Li, Xiang},
      journal = {Advances in Neural Information Processing Systems},
      volume = {37},
      pages = {6126--6153},
      year = {2024},
    }

16. F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

    Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang, Xiang Li, Tianming Liu, Junwei Han, Tuo Zhang, and Yixuan Yuan

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

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    @inproceedings{he2024f2tnet,
      title = {F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction},
      author = {He, Zhibin and Li, Wuyang and Jiang, Yu and Peng, Zhihao and Wang, Pengyu and Li, Xiang and Liu, Tianming and Han, Junwei and Zhang, Tuo and Yuan, Yixuan},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer},
      pages = {265--275},
      year = {2024},
    }

17. Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation

    Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, and Yixuan Yuan

    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

    Bib

    @inproceedings{chen2024fine,
      title = {Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation},
      author = {Chen, Wenting and Shen, Linlin and Lin, Jingyang and Luo, Jiebo and Li, Xiang and Yuan, Yixuan},
      booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      pages = {9494--9509},
      year = {2024},
    }

18. FINE-TUNING LARGE LANGUAGE MODELS FOR RADIATION ONCOLOGY, A HIGHLY SPECIALIZED HEALTHCARE DOMAIN

    Zhengliang Liu, Peilong Wang, Yiwei Li, Jason M Holmes, Peng Shu, Lian Zhang, Xiang Li, Quanzheng Li, Sujay A Vora, Samir Patel, and others

    International Journal of Particle Therapy, 2024

    Bib

    @article{liu2024fine,
      title = {FINE-TUNING LARGE LANGUAGE MODELS FOR RADIATION ONCOLOGY, A HIGHLY SPECIALIZED HEALTHCARE DOMAIN},
      author = {Liu, Zhengliang and Wang, Peilong and Li, Yiwei and Holmes, Jason M and Shu, Peng and Zhang, Lian and Li, Xiang and Li, Quanzheng and Vora, Sujay A and Patel, Samir and others},
      journal = {International Journal of Particle Therapy},
      publisher = {Elsevier},
      volume = {12},
      pages = {100428},
      year = {2024},
    }

19. Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology

    Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, W Wong, Sujay A. Vora, Dajiang Zhu, Tianming Liu, and W Liu

    Medical physics, 2024

    Bib

    @article{zhang2024generalizable,
      title = {Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology},
      author = {Zhang, Lian and Liu, Zhengliang and Zhang, Lu and Wu, Zihao and Yu, Xiaowei and Holmes, Jason and Feng, Hongying and Dai, Haixing and Li, Xiang and Li, Quanzheng and Wong, W and Vora, Sujay A. and Zhu, Dajiang and Liu, Tianming and Liu, W},
      journal = {Medical physics},
      volume = {51},
      number = {3},
      pages = {2187--2199},
      year = {2024},
    }

20. Gp-gpt: Large language model for gene-phenotype mapping

    Yanjun Lyu, Zihao Wu, Lu Zhang, Jing Zhang, Yiwei Li, Wei Ruan, Zhengliang Liu, Xiaowei Yu, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Xiang Li, Rongjie Liu, Chao Huang, Wentao Li, Tianming Liu, and Dajiang Zhu

    arXiv preprint arXiv:2409.09825, 2024

    arXiv Bib

    @article{lyu2024gp,
      title = {Gp-gpt: Large language model for gene-phenotype mapping},
      author = {Lyu, Yanjun and Wu, Zihao and Zhang, Lu and Zhang, Jing and Li, Yiwei and Ruan, Wei and Liu, Zhengliang and Yu, Xiaowei and Cao, Chao and Chen, Tong and Chen, Minheng and Zhuang, Yan and Li, Xiang and Liu, Rongjie and Huang, Chao and Li, Wentao and Liu, Tianming and Zhu, Dajiang},
      journal = {arXiv preprint arXiv:2409.09825},
      year = {2024},
    }

21. Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

    Matthew Tivnan, Siyeop Yoon, Zhennong Chen, Xiang Li, Dufan Wu, and Quanzheng Li

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

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    @inproceedings{tivnan2024hallucination,
      title = {Hallucination Index: An Image Quality Metric for Generative Reconstruction Models},
      author = {Tivnan, Matthew and Yoon, Siyeop and Chen, Zhennong and Li, Xiang and Wu, Dufan and Li, Quanzheng},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer Nature Switzerland Cham},
      pages = {449--458},
      year = {2024},
    }

22. Hetero-UNet: heterogeneous transformer with Mamba for medical image segmentation

    Zhiling Yan, Yixin Liu, Xiang Li, and Lichao Sun

    In Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond, 2024

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    @inproceedings{yan2024hetero,
      title = {Hetero-UNet: heterogeneous transformer with Mamba for medical image segmentation},
      author = {Yan, Zhiling and Liu, Yixin and Li, Xiang and Sun, Lichao},
      booktitle = {Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond},
      year = {2024},
    }

23. High-Resolution 3d Ct Synthesis From Bidirectional X-Ray Images Using 3d Diffusion Model

    Siyeop Yoon, Jay Sairam Pratap, Wen-Chih Liu, Matthew Tivnan, Hui Ren, Abhiram Bhashyam, Quanzheng Li, Neal Chen, and Xiang Li

    In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

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    @inproceedings{yoon2024high,
      title = {High-Resolution 3d Ct Synthesis From Bidirectional X-Ray Images Using 3d Diffusion Model},
      author = {Yoon, Siyeop and Pratap, Jay Sairam and Liu, Wen-Chih and Tivnan, Matthew and Ren, Hui and Bhashyam, Abhiram and Li, Quanzheng and Chen, Neal and Li, Xiang},
      booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
      organization = {IEEE},
      pages = {1--4},
      year = {2024},
    }

24. How does ChatGPT use source information compared with Google? A text network analysis of online health information

    Oscar Y Shen, Jayanth S Pratap, Xiang Li, Neal C Chen, and Abhiram R Bhashyam

    Clinical orthopaedics and related research, 2024

    Bib

    @article{shen2024does,
      title = {How does ChatGPT use source information compared with Google? A text network analysis of online health information},
      author = {Shen, Oscar Y and Pratap, Jayanth S and Li, Xiang and Chen, Neal C and Bhashyam, Abhiram R},
      journal = {Clinical orthopaedics and related research},
      volume = {482},
      number = {4},
      pages = {578},
      year = {2024},
    }

25. Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer

    Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, and Xi Jiang

    Information Fusion, 2024

    Bib

    @article{xiao2024instruction,
      title = {Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer},
      author = {Xiao, Zhenxiang and Chen, Yuzhong and Yao, Junjie and Zhang, Lu and Liu, Zhengliang and Wu, Zihao and Yu, Xiaowei and Pan, Yi and Zhao, Lin and Ma, Chong and Liu, Xinyu and Liu, Wei and Li, Xiang and Yuan, Yixuan and Shen, Dinggang and Zhu, Dajiang and Yao, Dezhong and Liu, Tianming and Jiang, Xi},
      journal = {Information Fusion},
      publisher = {Elsevier},
      volume = {104},
      pages = {102204},
      year = {2024},
    }

26. Large language models for robotics: Opportunities, challenges, and perspectives

    Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, and Shu Zhang

    arXiv preprint arXiv:2401.04334, 2024

    arXiv Bib

    @article{wang2024large,
      title = {Large language models for robotics: Opportunities, challenges, and perspectives},
      author = {Wang, Jiaqi and Wu, Zihao and Li, Yiwei and Jiang, Hanqi and Shu, Peng and Shi, Enze and Hu, Huawen and Ma, Chong and Liu, Yiheng and Wang, Xuhui and Yao, Yincheng and Liu, Xuan and Zhao, Huaqin and Liu, Zhengliang and Dai, Haixing and Zhao, Lin and Ge, Bao and Li, Xiang and Liu, Tianming and Zhang, Shu},
      journal = {arXiv preprint arXiv:2401.04334},
      year = {2024},
    }

27. Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification

    Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, and Juho Lee

    In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

    Bib

    @inproceedings{kim2024learning,
      title = {Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification},
      author = {Kim, Byung-Hoon and Choi, Jungwon and Yun, EungGu and Kim, Kyungsang and Li, Xiang and Lee, Juho},
      booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
      organization = {IEEE},
      pages = {1--5},
      year = {2024},
    }

28. Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation

    Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, and Quanzheng Li

    Medical Image Analysis, 2024

    Bib

    @article{chen2024ma,
      title = {Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation},
      author = {Chen, Cheng and Miao, Juzheng and Wu, Dufan and Zhong, Aoxiao and Yan, Zhiling and Kim, Sekeun and Hu, Jiang and Liu, Zhengliang and Sun, Lichao and Li, Xiang and Liu, Tianming and Heng, Pheng-Ann and Li, Quanzheng},
      journal = {Medical Image Analysis},
      publisher = {Elsevier},
      volume = {98},
      pages = {103310},
      year = {2024},
    }

29. Mask-guided BERT for few-shot text classification

    Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, and Xiang Li

    Neurocomputing, 2024

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    @article{liao2024mask,
      title = {Mask-guided BERT for few-shot text classification},
      author = {Liao, Wenxiong and Liu, Zhengliang and Dai, Haixing and Wu, Zihao and Zhang, Yiyang and Huang, Xiaoke and Chen, Yuzhong and Jiang, Xi and Liu, David and Zhu, Dajiang and Li, Sheng and Liu, Wei and Liu, Tianming and Li, Quanzheng and Cai, Hongmin and Li, Xiang},
      journal = {Neurocomputing},
      publisher = {Elsevier},
      pages = {128576},
      year = {2024},
    }

30. Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

    Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, and Xiang Li

    In 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), 2024

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    @inproceedings{wenting2024medical,
      title = {Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting},
      author = {Chen, Wenting and Wang, Pengyu and Ren, Hui and Sun, Lichao and Li, Quanzheng and Yuan, Yixuan and Li, Xiang},
      booktitle = {27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024)},
      year = {2024},
    }

31. Mgh radiology llama: A llama 3 70b model for radiology

    Yucheng Shi, Peng Shu, Zhengliang Liu, Zihao Wu, Quanzheng Li, Tianming Liu, Ninghao Liu, and Xiang Li

    arXiv preprint arXiv:2408.11848, 2024

    arXiv Bib

    @article{shi2024mgh,
      title = {Mgh radiology llama: A llama 3 70b model for radiology},
      author = {Shi, Yucheng and Shu, Peng and Liu, Zhengliang and Wu, Zihao and Li, Quanzheng and Liu, Tianming and Liu, Ninghao and Li, Xiang},
      journal = {arXiv preprint arXiv:2408.11848},
      year = {2024},
    }

32. Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation

    Yujin Oh, Sangjoon Park, Xiang Li, Wang Yi, Jonathan Paly, Jason Efstathiou, Annie Chan, Jun Won Kim, Hwa Kyung Byun, Ik Jae Lee, Jaeho Cho, Chan Woo Wee, Peng Shu, Peilong Wang, Nathan Yu, Jason Holmes, Jong Chul Ye, Quanzheng Li, Wei Liu, Woong Sub Koom, Jin Sung Kim, and Kyungsang Kim

    arXiv preprint arXiv:2410.00046, 2024

    arXiv Bib

    @article{oh2024mixture,
      title = {Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation},
      author = {Oh, Yujin and Park, Sangjoon and Li, Xiang and Yi, Wang and Paly, Jonathan and Efstathiou, Jason and Chan, Annie and Kim, Jun Won and Byun, Hwa Kyung and Lee, Ik Jae and Cho, Jaeho and Wee, Chan Woo and Shu, Peng and Wang, Peilong and Yu, Nathan and Holmes, Jason and Ye, Jong Chul and Li, Quanzheng and Liu, Wei and Koom, Woong Sub and Kim, Jin Sung and Kim, Kyungsang},
      journal = {arXiv preprint arXiv:2410.00046},
      year = {2024},
    }

33. Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach

    Zhennong Chen, Hui Ren, Quanzheng Li, and Xiang Li

    In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

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    @inproceedings{chen2024motionb,
      title = {Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach},
      author = {Chen, Zhennong and Ren, Hui and Li, Quanzheng and Li, Xiang},
      booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
      organization = {IEEE},
      pages = {1--4},
      year = {2024},
    }

34. Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach

    Zhennong Chen, Hui Ren, Quanzheng Li, and Xiang Li

    Computerized Medical Imaging and Graphics, 2024

    Bib

    @article{chen2024motion,
      title = {Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach},
      author = {Chen, Zhennong and Ren, Hui and Li, Quanzheng and Li, Xiang},
      journal = {Computerized Medical Imaging and Graphics},
      publisher = {Pergamon},
      volume = {115},
      pages = {102389},
      year = {2024},
    }

35. NM-GPT: Advancing Nuclear Medicine Report Processing Through a Specialized Fine-tuned Large Language Model

    Zhiliang Lyu, Fang Zeng, Ning Guo, Xiang Li, and Quanzheng Li

    2024

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    @misc{lyu2024nm,
      title = {NM-GPT: Advancing Nuclear Medicine Report Processing Through a Specialized Fine-tuned Large Language Model},
      author = {Lyu, Zhiliang and Zeng, Fang and Guo, Ning and Li, Xiang and Li, Quanzheng},
      publisher = {Soc Nuclear Med},
      year = {2024},
    }

36. Opportunities and challenges of large language models for low-resource languages in humanities research

    Tianyang Zhong, Zhenyuan Yang, Zhengliang Liu, Ruidong Zhang, Weihang You, Yiheng Liu, Haiyang Sun, Yi Pan, Yiwei Li, Yifan Zhou, and others

    arXiv preprint arXiv:2412.04497, 2024

    arXiv Bib

    @article{zhong2024opportunities,
      title = {Opportunities and challenges of large language models for low-resource languages in humanities research},
      author = {Zhong, Tianyang and Yang, Zhenyuan and Liu, Zhengliang and Zhang, Ruidong and You, Weihang and Liu, Yiheng and Sun, Haiyang and Pan, Yi and Li, Yiwei and Zhou, Yifan and others},
      journal = {arXiv preprint arXiv:2412.04497},
      year = {2024},
    }

37. Position: TrustLLM: Trustworthiness in Large Language Models

    Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, and Yue Zhao

    In International Conference on Machine Learning, 2024

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    @inproceedings{huang2024position,
      title = {Position: TrustLLM: Trustworthiness in Large Language Models},
      author = {Huang, Yue and Sun, Lichao and Wang, Haoran and Wu, Siyuan and Zhang, Qihui and Li, Yuan and Gao, Chujie and Huang, Yixin and Lyu, Wenhan and Zhang, Yixuan and Li, Xiner and Sun, Hanchi and Liu, Zhengliang and Liu, Yixin and Wang, Yijue and Zhang, Zhikun and Vidgen, Bertie and Kailkhura, Bhavya and Xiong, Caiming and Xiao, Chaowei and Li, Chunyuan and Xing, Eric P. and Huang, Furong and Liu, Hao and Ji, Heng and Wang, Hongyi and Zhang, Huan and Yao, Huaxiu and Kellis, Manolis and Zitnik, Marinka and Jiang, Meng and Bansal, Mohit and Zou, James and Pei, Jian and Liu, Jian and Gao, Jianfeng and Han, Jiawei and Zhao, Jieyu and Tang, Jiliang and Wang, Jindong and Vanschoren, Joaquin and Mitchell, John C. and Shu, Kai and Xu, Kaidi and Chang, Kai-Wei and He, Lifang and Huang, Lifu and Backes, Michael and Gong, Neil Zhenqiang and Yu, Philip S. and Chen, Pin-Yu and Gu, Quanquan and Xu, Ran and Ying, Rex and Ji, Shuiwang and Jana, Suman and Chen, Tianlong and Liu, Tianming and Zhou, Tianyi and Wang, William and Li, Xiang and Zhang, Xiangliang and Wang, Xiao and Xie, Xing and Chen, Xun and Wang, Xuyu and Liu, Yan and Ye, Yanfang and Cao, Yinzhi and Chen, Yong and Zhao, Yue},
      booktitle = {International Conference on Machine Learning},
      organization = {PMLR},
      pages = {20166--20270},
      year = {2024},
    }

38. Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis

    Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, and Quanzheng Li

    arXiv preprint arXiv:2404.05916, 2024

    arXiv Bib

    @article{kim2024prompt,
      title = {Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis},
      author = {Kim, Sekeun and Ren, Hui and Guo, Peng and Ali, Abder-Rahman and Zhang, Patrick and Kim, Kyungsang and Li, Xiang and Li, Quanzheng},
      journal = {arXiv preprint arXiv:2404.05916},
      year = {2024},
    }

39. Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis

    Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, and Xiang Li

    arXiv preprint arXiv:2402.11398, 2024

    arXiv Bib

    @article{xu2024reasoning,
      title = {Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis},
      author = {Xu, Shaochen and Wu, Zihao and Zhao, Huaqin and Shu, Peng and Liu, Zhengliang and Liao, Wenxiong and Li, Sheng and Sikora, Andrea and Liu, Tianming and Li, Xiang},
      journal = {arXiv preprint arXiv:2402.11398},
      year = {2024},
    }

40. Robot Control via Natural Instructions Empowered by Large Language Model

    Zihao Wu, Peng Shu, Yiwei Li, Quanzheng Li, Tianming Liu, and Xiang Li

    In Discovering the Frontiers of Human-Robot Interaction: Insights and Innovations in Collaboration, Communication, and Control, 2024

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    @incollection{wu2024robot,
      title = {Robot Control via Natural Instructions Empowered by Large Language Model},
      author = {Wu, Zihao and Shu, Peng and Li, Yiwei and Li, Quanzheng and Liu, Tianming and Li, Xiang},
      booktitle = {Discovering the Frontiers of Human-Robot Interaction: Insights and Innovations in Collaboration, Communication, and Control},
      publisher = {Springer Nature Switzerland Cham},
      pages = {437--457},
      year = {2024},
    }

41. Surviving chatgpt in healthcare

    Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Chao Cao, Haixing Dai, Ninghao Liu, Jun Liu, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, and Tianming Liu

    Frontiers in Radiology, 2024

    Bib

    @article{liu2024surviving,
      title = {Surviving chatgpt in healthcare},
      author = {Liu, Zhengliang and Zhang, Lu and Wu, Zihao and Yu, Xiaowei and Cao, Chao and Dai, Haixing and Liu, Ninghao and Liu, Jun and Liu, Wei and Li, Quanzheng and Shen, Dinggang and Li, Xiang and Zhu, Dajiang and Liu, Tianming},
      journal = {Frontiers in Radiology},
      publisher = {Frontiers Media SA},
      volume = {3},
      pages = {1224682},
      year = {2024},
    }

42. Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation

    Zhennong Chen, Sekeun Kim, Hui Ren, Quanzheng Li, and Xiang Li

    In International Workshop on Foundation Models for General Medical AI, 2024

    Bib

    @inproceedings{chen2024temporal,
      title = {Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation},
      author = {Chen, Zhennong and Kim, Sekeun and Ren, Hui and Li, Quanzheng and Li, Xiang},
      booktitle = {International Workshop on Foundation Models for General Medical AI},
      organization = {Springer},
      pages = {20--29},
      year = {2024},
    }

43. The Radiation Oncology NLP Database

    Zhengliang Liu, Jason Holmes, Wenxiong Liao, Chenbin Liu, Lian Zhang, Hongying Feng, Peilong Wang, Muhammad Ali Elahi, Hongmin Cai, Lichao Sun, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, and Wei Liu

    arXiv preprint arXiv:2401.10995, 2024

    arXiv Bib

    @article{liu2024radiation,
      title = {The Radiation Oncology NLP Database},
      author = {Liu, Zhengliang and Holmes, Jason and Liao, Wenxiong and Liu, Chenbin and Zhang, Lian and Feng, Hongying and Wang, Peilong and Elahi, Muhammad Ali and Cai, Hongmin and Sun, Lichao and Li, Quanzheng and Li, Xiang and Liu, Tianming and Shen, Jiajian and Liu, Wei},
      journal = {arXiv preprint arXiv:2401.10995},
      year = {2024},
    }

44. Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios

    Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, and Tianming Liu

    arXiv preprint arXiv:2411.14461, 2024

    arXiv Bib

    @article{xu2024towards,
      title = {Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios},
      author = {Xu, Shaochen and Zhou, Yifan and Liu, Zhengliang and Wu, Zihao and Zhong, Tianyang and Zhao, Huaqin and Li, Yiwei and Jiang, Hanqi and Pan, Yi and Chen, Junhao and Lu, Jin and Zhang, Wei and Zhang, Tuo and Zhang, Lu and Zhu, Dajiang and Li, Xiang and Liu, Wei and Li, Quanzheng and Sikora, Andrea and Zhai, Xiaoming and Xiang, Zhen and Liu, Tianming},
      journal = {arXiv preprint arXiv:2411.14461},
      year = {2024},
    }

45. TTT-Unet: Enhancing U-Net with Test-Time Training Layers for biomedical image segmentation

    Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, and Lichao Sun

    arXiv preprint arXiv:2409.11299, 2024

    arXiv Bib

    @article{zhou2024ttt,
      title = {TTT-Unet: Enhancing U-Net with Test-Time Training Layers for biomedical image segmentation},
      author = {Zhou, Rong and Yuan, Zhengqing and Yan, Zhiling and Sun, Weixiang and Zhang, Kai and Li, Yiwei and Ye, Yanfang and Li, Xiang and He, Lifang and Sun, Lichao},
      journal = {arXiv preprint arXiv:2409.11299},
      year = {2024},
    }

46. Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising

    Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, and Quanzheng Li

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

    Bib

    @inproceedings{yoon2024volumetric,
      title = {Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising},
      author = {Yoon, Siyeop and Tivnan, Matthew and Hu, Rui and Wang, Yuang and Son, Young-Don and Wu, Dufan and Li, Xiang and Kim, Kyungsang and Li, Quanzheng},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer},
      pages = {754--763},
      year = {2024},
    }

47. Zero-Shot Novel View Synthesis of Wrist X-Rays Using Latent Diffusion Model

    Jayanth Pratap, Siyeop Yoon, Wen-Chih Liu, Quanzheng Li, Abhiram Bhashyam, Neal Chen, and Xiang Li

    In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

    Bib

    @inproceedings{pratap2024zero,
      title = {Zero-Shot Novel View Synthesis of Wrist X-Rays Using Latent Diffusion Model},
      author = {Pratap, Jayanth and Yoon, Siyeop and Liu, Wen-Chih and Li, Quanzheng and Bhashyam, Abhiram and Chen, Neal and Li, Xiang},
      booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
      organization = {IEEE},
      pages = {1--4},
      year = {2024},
    }

48. Zero-shot relation triplet extraction as Next-Sentence Prediction

    Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Ninghao Liu, Tianming Liu, Quanzheng Li, Xiang Li, and Hongmin Cai

    Knowledge-Based Systems, 2024

    Bib

    @article{liao2024zero,
      title = {Zero-shot relation triplet extraction as Next-Sentence Prediction},
      author = {Liao, Wenxiong and Liu, Zhengliang and Zhang, Yiyang and Huang, Xiaoke and Liu, Ninghao and Liu, Tianming and Li, Quanzheng and Li, Xiang and Cai, Hongmin},
      journal = {Knowledge-Based Systems},
      publisher = {Elsevier},
      volume = {304},
      pages = {112507},
      year = {2024},
    }

2023

1. Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism

   Zhenwei Wang, Mengshen He, Yifan Lv, Enjie Ge, Shu Zhang, Ning Qiang, Tianming Liu, Fan Zhang, Xiang Li, and Bao Ge

   Cerebral Cortex, 2023

   Bib

   @article{wang2023accurate,
     title = {Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism},
     author = {Wang, Zhenwei and He, Mengshen and Lv, Yifan and Ge, Enjie and Zhang, Shu and Qiang, Ning and Liu, Tianming and Zhang, Fan and Li, Xiang and Ge, Bao},
     journal = {Cerebral Cortex},
     publisher = {Oxford University Press},
     volume = {33},
     number = {13},
     pages = {8405--8420},
     year = {2023},
   }

2. APP-RUSS: Automated Path Planning for Robotic Ultrasound System

   David Liu, Jerome Charton, Xiang Li, and Quanzheng Li

   arXiv preprint arXiv:2310.14297, 2023

   arXiv Bib

   @article{liu2023app,
     title = {APP-RUSS: Automated Path Planning for Robotic Ultrasound System},
     author = {Liu, David and Charton, Jerome and Li, Xiang and Li, Quanzheng},
     journal = {arXiv preprint arXiv:2310.14297},
     year = {2023},
   }

3. Artificial general intelligence for radiation oncology

   Chenbin Liu, Zhengliang Liu, Jason Holmes, Lu Zhang, Lian Zhang, Yuzhen Ding, Peng Shu, Zihao Wu, Haixing Dai, Yiwei Li, Dinggang Shen, Ninghao Liu, Quanzheng Li, Xiang Li, Dajiang Zhu, Tianming Liu, and Wei Liu

   Meta-radiology, 2023

   Bib

   @article{liu2023artificial,
     title = {Artificial general intelligence for radiation oncology},
     author = {Liu, Chenbin and Liu, Zhengliang and Holmes, Jason and Zhang, Lu and Zhang, Lian and Ding, Yuzhen and Shu, Peng and Wu, Zihao and Dai, Haixing and Li, Yiwei and Shen, Dinggang and Liu, Ninghao and Li, Quanzheng and Li, Xiang and Zhu, Dajiang and Liu, Tianming and Liu, Wei},
     journal = {Meta-radiology},
     publisher = {Elsevier},
     volume = {1},
     number = {3},
     pages = {100045},
     year = {2023},
   }

4. BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

   Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, and others

   Nature Methods, 2023

   Bib

   @article{manubens2023bigneuron,
     title = {BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets},
     author = {Manubens-Gil, Linus and Zhou, Zhi and Chen, Hanbo and Ramanathan, Arvind and Liu, Xiaoxiao and Liu, Yufeng and Bria, Alessandro and Gillette, Todd and Ruan, Zongcai and Yang, Jian and others},
     journal = {Nature Methods},
     publisher = {Nature Publishing Group US New York},
     volume = {20},
     number = {6},
     pages = {824--835},
     year = {2023},
   }

5. Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs

   Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, and Junzhou Huang

   In 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023

   Bib

   @inproceedings{shi2023chatgraph,
     title = {Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs},
     author = {Shi, Yucheng and Ma, Hehuan and Zhong, Wenliang and Tan, Qiaoyu and Mai, Gengchen and Li, Xiang and Liu, Tianming and Huang, Junzhou},
     booktitle = {2023 IEEE International Conference on Data Mining Workshops (ICDMW)},
     organization = {IEEE},
     pages = {515--520},
     year = {2023},
   }

6. Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training

   Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, and Hongmin Cai

   In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023

   Bib

   @inproceedings{liao2023coarse,
     title = {Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training},
     author = {Liao, Wenxiong and Liu, Zhengliang and Zhang, Yiyang and Huang, Xiaoke and Qi, Fei and Ding, Siqi and Ren, Hui and Wu, Zihao and Dai, Haixing and Li, Sheng and Wu, Lingfei and Liu, Ninghao and Li, Quanzheng and Liu, Tianming and Li, Xiang and Cai, Hongmin},
     booktitle = {2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
     organization = {IEEE},
     pages = {1294--1299},
     year = {2023},
   }

7. CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study

   Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, and Ninghao Liu

   arXiv preprint arXiv:2307.11346, 2023

   arXiv Bib

   @article{guan2023cohortgpt,
     title = {CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study},
     author = {Guan, Zihan and Wu, Zihao and Liu, Zhengliang and Wu, Dufan and Ren, Hui and Li, Quanzheng and Li, Xiang and Liu, Ninghao},
     journal = {arXiv preprint arXiv:2307.11346},
     year = {2023},
   }

8. Deid-gpt: Zero-shot medical text de-identification by gpt-4

   Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, and Xiang Li

   arXiv preprint arXiv:2303.11032, 2023

   arXiv Bib

   @article{liu2023deid,
     title = {Deid-gpt: Zero-shot medical text de-identification by gpt-4},
     author = {Liu, Zhengliang and Yu, Xiaowei and Zhang, Lu and Wu, Zihao and Cao, Chao and Dai, Haixing and Zhao, Lin and Liu, Wei and Shen, Dinggang and Li, Quanzheng and Liu, Tianming and Zhu, Dajiang and Li, Xiang},
     journal = {arXiv preprint arXiv:2303.11032},
     year = {2023},
   }

9. DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4, December 2023

   Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, and Xiang Li

   URL http://arxiv. org/abs/2303.11032, 2023

   Bib

   @article{liu2303deid,
     title = {DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4, December 2023},
     author = {Liu, Zhengliang and Yu, Xiaowei and Zhang, Lu and Wu, Zihao and Cao, Chao and Dai, Haixing and Zhao, Lin and Liu, Wei and Shen, Dinggang and Li, Quanzheng and Liu, Tianming and Zhu, Dajiang and Li, Xiang},
     journal = {URL http://arxiv. org/abs/2303.11032},
     year = {2023},
   }

10. Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

    Liao W, Liu Z, Dai H, Xu S, Wu Z, Zhang Y, Huang X, Zhu D, Cai H, Li Q, Liu T, and Li X

    JMIR Medical Education, 2023

    Bib

    @article{liao2023differentiating,
      title = {Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study},
      author = {W, Liao and Z, Liu and H, Dai and S, Xu and Z, Wu and Y, Zhang and X, Huang and D, Zhu and H, Cai and Q, Li and T, Liu and X, Li},
      journal = {JMIR Medical Education},
      publisher = {JMIR Publications Inc., Toronto, Canada},
      volume = {9},
      number = {1},
      pages = {e48904},
      year = {2023},
    }

11. Evaluating large language models for radiology natural language processing

    Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, and Tianming Liu

    arXiv preprint arXiv:2307.13693, 2023

    arXiv Bib

    @article{liu2023evaluating,
      title = {Evaluating large language models for radiology natural language processing},
      author = {Liu, Zhengliang and Zhong, Tianyang and Li, Yiwei and Zhang, Yutong and Pan, Yi and Zhao, Zihao and Dong, Peixin and Cao, Chao and Liu, Yuxiao and Shu, Peng and Wei, Yaonai and Wu, Zihao and Ma, Chong and Wang, Jiaqi and Wang, Sheng and Zhou, Mengyue and Jiang, Zuowei and Li, Chunlin and Holmes, Jason and Xu, Shaochen and Zhang, Lu and Dai, Haixing and Zhang, Kai and Zhao, Lin and Chen, Yuanhao and Liu, Xu and Wang, Peilong and Yan, Pingkun and Liu, Jun and Ge, Bao and Sun, Lichao and Zhu, Dajiang and Li, Xiang and Liu, Wei and Cai, Xiaoyan and Hu, Xintao and Jiang, Xi and Zhang, Shu and Zhang, Xin and Zhang, Tuo and Zhao, Shijie and Li, Quanzheng and Zhu, Hongtu and Shen, Dinggang and Liu, Tianming},
      journal = {arXiv preprint arXiv:2307.13693},
      year = {2023},
    }

12. Evaluating large language models on a highly-specialized topic, radiation oncology physics

    Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, and Wei Liu

    Frontiers in Oncology, 2023

    Bib

    @article{holmes2023evaluating,
      title = {Evaluating large language models on a highly-specialized topic, radiation oncology physics},
      author = {Holmes, Jason and Liu, Zhengliang and Zhang, Lian and Ding, Yuzhen and Sio, Terence T. and McGee, Lisa A. and Ashman, Jonathan B. and Li, Xiang and Liu, Tianming and Shen, Jiajian and Liu, Wei},
      journal = {Frontiers in Oncology},
      publisher = {Frontiers},
      volume = {13},
      pages = {1219326},
      year = {2023},
    }

13. Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis

    Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai D\’\iez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, and Xiang Li

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023

    Bib

    @inproceedings{dai2023graph,
      title = {Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis},
      author = {Dai, Haixing and Hu, Mengxuan and Li, Qing and Zhang, Lu and Zhao, Lin and Zhu, Dajiang and D\'\iez, Ibai and Sepulcre, Jorge and Zhang, Fan and Gao, Xingyu and Liu, Manhua and Li, Quanzheng and Li, Sheng and Liu, Tianming and Li, Xiang},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      organization = {Springer},
      pages = {205--213},
      year = {2023},
    }

14. Holistic Evaluation of GPT-4V for Biomedical Imaging

    Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, and Tianming Liu

    arXiv preprint arXiv:2312.05256, 2023

    arXiv Bib

    @article{liu2023holistic,
      title = {Holistic Evaluation of GPT-4V for Biomedical Imaging},
      author = {Liu, Zhengliang and Jiang, Hanqi and Zhong, Tianyang and Wu, Zihao and Ma, Chong and Li, Yiwei and Yu, Xiaowei and Zhang, Yutong and Pan, Yi and Shu, Peng and Lyu, Yanjun and Zhang, Lu and Yao, Junjie and Dong, Peixin and Cao, Chao and Xiao, Zhenxiang and Wang, Jiaqi and Zhao, Huan and Xu, Shaochen and Wei, Yaonai and Chen, Jingyuan and Dai, Haixing and Wang, Peilong and He, Hao and Wang, Zewei and Wang, Xinyu and Zhang, Xu and Zhao, Lin and Liu, Yiheng and Zhang, Kai and Yan, Liheng and Sun, Lichao and Liu, Jun and Qiang, Ning and Ge, Bao and Cai, Xiaoyan and Zhao, Shijie and Hu, Xintao and Yuan, Yixuan and Li, Gang and Zhang, Shu and Zhang, Xin and Jiang, Xi and Zhang, Tuo and Shen, Dinggang and Li, Quanzheng and Liu, Wei and Li, Xiang and Zhu, Dajiang and Liu, Tianming},
      journal = {arXiv preprint arXiv:2312.05256},
      year = {2023},
    }

15. Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer’s Disease Progression via Counterfactual Inference

    Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai D\’\iez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, and Xiang Li

    In Imaging Systems and Applications, 2023

    Bib

    @inproceedings{dai2023identification,
      title = {Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer’s Disease Progression via Counterfactual Inference},
      author = {Dai, Haixing and Hu, Mengxuan and Li, Qing and Zhang, Lu and Zhao, Lin and Zhu, Dajiang and D\'\iez, Ibai and Sepulcre, Jorge and Zhang, Fan and Gao, Xingyu and Liu, Manhua and Li, Quanzheng and Li, Sheng and Liu, Tianming and Li, Xiang},
      booktitle = {Imaging Systems and Applications},
      organization = {Optica Publishing Group},
      pages = {ITh1C--2},
      year = {2023},
    }

16. Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers

    Byung-Hoon Kim, Jungwon Choi, Eunggu Yun, Kyungsang Kim, Xiang Li, and Juho Lee

    In Temporal Graph Learning Workshop@ NeurIPS 2023, 2023

    Bib

    @inproceedings{kim2023large,
      title = {Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers},
      author = {Kim, Byung-Hoon and Choi, Jungwon and Yun, Eunggu and Kim, Kyungsang and Li, Xiang and Lee, Juho},
      booktitle = {Temporal Graph Learning Workshop@ NeurIPS 2023},
      year = {2023},
    }

17. Machine Learning Model for the Prediction of Early Discharge of Patient Underwent Transcatheter Aortic Valve Replacement Using Electronic Medical Record

    Xiang Li, Hui Ren, Yee-Ping Sun, Benjamin Scirica, and Quanzheng Li

    Circulation, 2023

    Bib

    @article{li2023machine,
      title = {Machine Learning Model for the Prediction of Early Discharge of Patient Underwent Transcatheter Aortic Valve Replacement Using Electronic Medical Record},
      author = {Li, Xiang and Ren, Hui and Sun, Yee-Ping and Scirica, Benjamin and Li, Quanzheng},
      journal = {Circulation},
      publisher = {Am Heart Assoc},
      volume = {148},
      number = {Suppl\_1},
      pages = {A18568--A18568},
      year = {2023},
    }

18. Medical Image Computing and Computer Assisted Intervention-MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings

    Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S Mathai, Pritam Mukherjee, and others

    2023

    Bib

    @misc{woo2023medical,
      title = {Medical Image Computing and Computer Assisted Intervention-MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings},
      author = {Woo, Jonghye and Hering, Alessa and Silva, Wilson and Li, Xiang and Fu, Huazhu and Liu, Xiaofeng and Xing, Fangxu and Purushotham, Sanjay and Mathai, Tejas S and Mukherjee, Pritam and others},
      publisher = {Springer Nature Switzerland, Imprint: Springer},
      year = {2023},
    }

19. Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification

    Jerome Charton, Hui Ren, Sekeun Kim, Carola Maraboto Gonzalez, Jay Khambhati, Justin Cheng, Jeena DeFrancesco, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Michael H. Picard, Xiang Li, and Quanzheng Li

    In International Workshop on Advances in Simplifying Medical Ultrasound, 2023

    Bib

    @inproceedings{charton2023multi,
      title = {Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification},
      author = {Charton, Jerome and Ren, Hui and Kim, Sekeun and Gonzalez, Carola Maraboto and Khambhati, Jay and Cheng, Justin and DeFrancesco, Jeena and Waheed, Anam A. and Marciniak, Sylwia and Moura, Filipe and Cardoso, Rhanderson and Lima, Bruno B. and Picard, Michael H. and Li, Xiang and Li, Quanzheng},
      booktitle = {International Workshop on Advances in Simplifying Medical Ultrasound},
      organization = {Springer},
      pages = {185--194},
      year = {2023},
    }

20. Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript

    Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, and Xiang Li

    In International Conference on Brain Informatics, 2023

    Bib

    @inproceedings{cai2023multimodal,
      title = {Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript},
      author = {Cai, Hongmin and Huang, Xiaoke and Liu, Zhengliang and Liao, Wenxiong and Dai, Haixing and Wu, Zihao and Zhu, Dajiang and Ren, Hui and Li, Quanzheng and Liu, Tianming and Li, Xiang},
      booktitle = {International Conference on Brain Informatics},
      organization = {Springer},
      pages = {395--406},
      year = {2023},
    }

21. PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models

    Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, and Lei Fan

    arXiv preprint arXiv:2309.10238, 2023

    arXiv Bib

    @article{tang2023policygpt,
      title = {PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models},
      author = {Tang, Chenhao and Liu, Zhengliang and Ma, Chong and Wu, Zihao and Li, Yiwei and Liu, Wei and Zhu, Dajiang and Li, Quanzheng and Li, Xiang and Liu, Tianming and Fan, Lei},
      journal = {arXiv preprint arXiv:2309.10238},
      year = {2023},
    }

22. Radiology-Llama2: Best-in-Class Large Language Model for Radiology

    Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, and Xiang Li

    arXiv preprint arXiv:2309.06419, 2023

    arXiv Bib

    @article{liu2023radiology,
      title = {Radiology-Llama2: Best-in-Class Large Language Model for Radiology},
      author = {Liu, Zhengliang and Li, Yiwei and Shu, Peng and Zhong, Aoxiao and Yang, Longtao and Ju, Chao and Wu, Zihao and Ma, Chong and Luo, Jie and Chen, Cheng and Kim, Sekeun and Hu, Jiang and Dai, Haixing and Zhao, Lin and Zhu, Dajiang and Liu, Jun and Liu, Wei and Shen, Dinggang and Liu, Tianming and Li, Quanzheng and Li, Xiang},
      journal = {arXiv preprint arXiv:2309.06419},
      year = {2023},
    }

23. Recent Advances in Sparse and Ultra-Sparse Reconstruction for Medical Imaging

    Wen-Chih Liu, Jayanth Pratap, Abhiram R Bhashyam, Neal C Chen, Quanzheng Li, and Xiang Li

    Digital Holography and Three-Dimensional Imaging, 2023

    Bib

    @article{liu2023recent,
      title = {Recent Advances in Sparse and Ultra-Sparse Reconstruction for Medical Imaging},
      author = {Liu, Wen-Chih and Pratap, Jayanth and Bhashyam, Abhiram R and Chen, Neal C and Li, Quanzheng and Li, Xiang},
      journal = {Digital Holography and Three-Dimensional Imaging},
      publisher = {Optica Publishing Group},
      pages = {HTh2C--1},
      year = {2023},
    }

24. Review of large vision models and visual prompt engineering

    Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, and Shu Zhang

    Meta-Radiology, 2023

    Bib

    @article{wang2023review,
      title = {Review of large vision models and visual prompt engineering},
      author = {Wang, Jiaqi and Liu, Zhengliang and Zhao, Lin and Wu, Zihao and Ma, Chong and Yu, Sigang and Dai, Haixing and Yang, Qiushi and Liu, Yiheng and Zhang, Songyao and Shi, Enze and Pan, Yi and Zhang, Tuo and Zhu, Dajiang and Li, Xiang and Jiang, Xi and Ge, Bao and Yuan, Yixuan and Shen, Dinggang and Liu, Tianming and Zhang, Shu},
      journal = {Meta-Radiology},
      publisher = {Elsevier},
      volume = {1},
      number = {3},
      pages = {100047},
      year = {2023},
    }

25. Samaug: Point prompt augmentation for segment anything model

    Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, and Xiang Li

    arXiv preprint arXiv:2307.01187, 2023

    arXiv Bib

    @article{dai2023samaug,
      title = {Samaug: Point prompt augmentation for segment anything model},
      author = {Dai, Haixing and Ma, Chong and Liu, Zhengliang and Li, Yiwei and Shu, Peng and Wei, Xiaozheng and Zhao, Lin and Wu, Zihao and Zhu, Dajiang and Liu, Wei and Li, Quanzheng and Liu, Tianming and Li, Xiang},
      journal = {arXiv preprint arXiv:2307.01187},
      year = {2023},
    }

26. Segment Anything Model (SAM) for Radiation Oncology

    Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, and Wei Liu

    arXiv preprint arXiv:2306.11730, 2023

    arXiv Bib

    @article{zhang2023segment,
      title = {Segment Anything Model (SAM) for Radiation Oncology},
      author = {Zhang, Lian and Liu, Zhengliang and Zhang, Lu and Wu, Zihao and Yu, Xiaowei and Holmes, Jason and Feng, Hongying and Dai, Haixing and Li, Xiang and Li, Quanzheng and Zhu, Dajiang and Liu, Tianming and Liu, Wei},
      journal = {arXiv preprint arXiv:2306.11730},
      year = {2023},
    }

27. Structure mapping generative adversarial network for multi-view information mapping pattern mining

    Xia-an Bi, YangJun Huang, Zicheng Yang, Ke Chen, Zhao-Xu Xing, Luyun Xu, Xiang Li, Zhengliang Liu, and Tianming Liu

    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

    Bib

    @article{bi2023structure,
      title = {Structure mapping generative adversarial network for multi-view information mapping pattern mining},
      author = {Bi, Xia-an and Huang, YangJun and Yang, Zicheng and Chen, Ke and Xing, Zhao-Xu and Xu, Luyun and Li, Xiang and Liu, Zhengliang and Liu, Tianming},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      publisher = {IEEE},
      volume = {46},
      number = {4},
      pages = {2252--2266},
      year = {2023},
    }

28. Summary of chatgpt-related research and perspective towards the future of large language models

    Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Lin Zhao, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, and Bao Ge

    Meta-radiology, 2023

    Bib

    @article{liu2023summary,
      title = {Summary of chatgpt-related research and perspective towards the future of large language models},
      author = {Liu, Yiheng and Han, Tianle and Ma, Siyuan and Zhang, Jiayue and Yang, Yuanyuan and Tian, Jiaming and He, Hao and Li, Antong and He, Mengshen and Liu, Zhengliang and Wu, Zihao and Zhao, Lin and Zhu, Dajiang and Li, Xiang and Qiang, Ning and Shen, Dinggang and Liu, Tianming and Ge, Bao},
      journal = {Meta-radiology},
      publisher = {Elsevier},
      volume = {1},
      number = {2},
      pages = {100017},
      year = {2023},
    }

29. Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain

    Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, and Xiang Li

    In International Workshop on Machine Learning in Medical Imaging, 2023

    Bib

    @inproceedings{liu2023tailoring,
      title = {Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain},
      author = {Liu, Zhengliang and Zhong, Aoxiao and Li, Yiwei and Yang, Longtao and Ju, Chao and Wu, Zihao and Ma, Chong and Shu, Peng and Chen, Cheng and Kim, Sekeun and Dai, Haixing and Zhao, Lin and Zhu, Dajiang and Liu, Jun and Liu, Wei and Shen, Dinggang and Li, Quanzheng and Liu, Tianming and Li, Xiang},
      booktitle = {International Workshop on Machine Learning in Medical Imaging},
      organization = {Springer},
      pages = {464--473},
      year = {2023},
    }

30. When brain-inspired ai meets agi

    Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, and Tianming Liu

    Meta-Radiology, 2023

    Bib

    @article{zhao2023brain,
      title = {When brain-inspired ai meets agi},
      author = {Zhao, Lin and Zhang, Lu and Wu, Zihao and Chen, Yuzhong and Dai, Haixing and Yu, Xiaowei and Liu, Zhengliang and Zhang, Tuo and Hu, Xintao and Jiang, Xi and Li, Xiang and Zhu, Dajiang and Shen, Dinggang and Liu, Tianming},
      journal = {Meta-Radiology},
      publisher = {Elsevier},
      volume = {1},
      number = {1},
      pages = {100005},
      year = {2023},
    }

2022

1. 自然语言处理在医学影像分析中的应用

   Zhengliang Liu, Mengshen He, Zuowei Jiang, Zihao Wu, Haixing Dai, Lian Zhang, Siyi Luo, Tianle Han, Xiang Li, Xi Jiang, and others

   Journal of Central South University (Medical Sciences), 2022

   Bib

   @article{liu2022,
     title = {自然语言处理在医学影像分析中的应用},
     author = {Liu, Zhengliang and He, Mengshen and Jiang, Zuowei and Wu, Zihao and Dai, Haixing and Zhang, Lian and Luo, Siyi and Han, Tianle and Li, Xiang and Jiang, Xi and others},
     journal = {Journal of Central South University (Medical Sciences)},
     publisher = {Journal of Central South University (Medical Sciences)},
     volume = {47},
     number = {8},
     pages = {981--993},
     year = {2022},
   }

2. BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology

   Paulo Aguiar, Amos Sironi, Xiang Li, Hongkui Zeng, Hongchuan Yu, Ching-Wei Wang, Edwin W Rubel, Huan Liu, Yujie Li, Jian Yang, and others

   2022

   Bib

   @article{aguiar2022bigneuron,
     title = {BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology},
     author = {Aguiar, Paulo and Sironi, Amos and Li, Xiang and Zeng, Hongkui and Yu, Hongchuan and Wang, Ching-Wei and Rubel, Edwin W and Liu, Huan and Li, Yujie and Yang, Jian and others},
     year = {2022},
   }

3. ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition

   Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, and Xiang Li

   In Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022

   Bib

   @inproceedings{rezayi2022clinicalradiobert,
     title = {ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition},
     author = {Rezayi, Saed and Dai, Haixing and Liu, Zhengliang and Wu, Zihao and Hebbar, Akarsh and Burns, Andrew H. and Zhao, Lin and Zhu, Dajiang and Li, Quanzheng and Liu, Wei and Li, Sheng and Liu, Tianming and Li, Xiang},
     booktitle = {Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings},
     organization = {Springer Nature Switzerland Cham},
     pages = {269--278},
     year = {2022},
   }

4. Connectivity-based Cortical Parcellation via Contrastive Learning on Spatial-Graph Convolution

   Peiting You, Xiang Li, Fan Zhang, and Quanzheng Li

   BME Frontiers, 2022

   Bib

   @article{you2022connectivity,
     title = {Connectivity-based Cortical Parcellation via Contrastive Learning on Spatial-Graph Convolution},
     author = {You, Peiting and Li, Xiang and Zhang, Fan and Li, Quanzheng},
     journal = {BME Frontiers},
     publisher = {AAAS},
     volume = {2022},
     year = {2022},
   }

5. Multi-dimensional characterization of neuropsychiatric disorders

   Peng Wang, Shijie Zhao, Xiang Li, and Jinglei Lv

   Frontiers in Neuroscience, 2022

   Bib

   @article{wang2022multi,
     title = {Multi-dimensional characterization of neuropsychiatric disorders},
     author = {Wang, Peng and Zhao, Shijie and Li, Xiang and Lv, Jinglei},
     journal = {Frontiers in Neuroscience},
     publisher = {Frontiers Media SA},
     volume = {16},
     year = {2022},
   }

6. Multiscale Multimodal Medical Imaging: Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

   Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M Leahy, and Quanzheng Li

   2022

   Bib

   @misc{li2022multiscale,
     title = {Multiscale Multimodal Medical Imaging: Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
     author = {Li, Xiang and Lv, Jinglei and Huo, Yuankai and Dong, Bin and Leahy, Richard M and Li, Quanzheng},
     publisher = {Springer Nature},
     year = {2022},
   }

7. Survey on natural language processing in medical image analysis

   Liu Zhengliang, He Mengshen, Jiang Zuowei, Wu Zihao, Dai Haixing, Zhang Lian, Luo Siyi, Han Tianle, Li Xiang, Jiang Xi, and others

   Journal of Central South University Medical Sciences, 2022

   Bib

   @article{zhengliang2022survey,
     title = {Survey on natural language processing in medical image analysis},
     author = {Zhengliang, Liu and Mengshen, He and Zuowei, Jiang and Zihao, Wu and Haixing, Dai and Lian, Zhang and Siyi, Luo and Tianle, Han and Xiang, Li and Xi, Jiang and others},
     journal = {Journal of Central South University Medical Sciences},
     volume = {47},
     number = {8},
     pages = {981},
     year = {2022},
   }

8. View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging

   Jerome Charton, Hui Ren, Jay Khambhati, Jeena DeFrancesco, Justin Cheng, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Erik Steen, Eigil Samset, Michael H. Picard, Xiang Li, and Quanzheng Li

   In Simplifying Medical Ultrasound: Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022

   Bib

   @inproceedings{charton2022view,
     title = {View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging},
     author = {Charton, Jerome and Ren, Hui and Khambhati, Jay and DeFrancesco, Jeena and Cheng, Justin and Waheed, Anam A. and Marciniak, Sylwia and Moura, Filipe and Cardoso, Rhanderson and Lima, Bruno B. and Steen, Erik and Samset, Eigil and Picard, Michael H. and Li, Xiang and Li, Quanzheng},
     booktitle = {Simplifying Medical Ultrasound: Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings},
     organization = {Springer International Publishing Cham},
     pages = {64--71},
     year = {2022},
   }

2021

1. Characterization of Brain Iron Deposition Pattern and Its Association With Genetic Risk Factor in Alzheimer’s Disease Using Susceptibility-Weighted Imaging

   Peiting You, Xiang Li, Zhijiang Wang, Huali Wang, Bin Dong, and Quanzheng Li

   Frontiers in Human Neuroscience, 2021

   Bib

   @article{you2021characterization,
     title = {Characterization of Brain Iron Deposition Pattern and Its Association With Genetic Risk Factor in Alzheimer’s Disease Using Susceptibility-Weighted Imaging},
     author = {You, Peiting and Li, Xiang and Wang, Zhijiang and Wang, Huali and Dong, Bin and Li, Quanzheng},
     journal = {Frontiers in Human Neuroscience},
     publisher = {Frontiers Media SA},
     volume = {15},
     pages = {654381},
     year = {2021},
   }

2. Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19

   Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, and Quanzheng Li

   Medical Image Analysis, 2021

   Bib

   @article{zhong2021deep,
     title = {Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19},
     author = {Zhong, Aoxiao and Li, Xiang and Wu, Dufan and Ren, Hui and Kim, Kyung Sang and Kim, Young-Gon and Buch, Varun and Neumark, Nir and Bizzo, Bernardo and Tak, Won Young and Park, Soo Young and Lee, Yu Rim and Kang, Min Kyu and Park, Jung Gil and Kim, Byung Seok and Chung, Woo Jin and Guo, Ning and Dayan, Ittai and Kalra, Mannudeep K. and Li, Quanzheng},
     journal = {Medical Image Analysis},
     publisher = {Elsevier},
     pages = {101993},
     year = {2021},
   }

3. Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection

   Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, and Quanzheng Li

   arXiv preprint arXiv:2103.11269, 2021

   arXiv Bib

   @article{buch2021development,
     title = {Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection},
     author = {Buch, Varun and Zhong, Aoxiao and Li, Xiang and Rockenbach, Marcio Aloisio Bezerra Cavalcanti and Wu, Dufan and Ren, Hui and Guan, Jiahui and Liteplo, Andrew and Dutta, Sayon and Dayan, Ittai and Li, Quanzheng},
     journal = {arXiv preprint arXiv:2103.11269},
     year = {2021},
   }

4. Federated learning for predicting clinical outcomes in patients with COVID-19

   Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-D\’\iez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado Mendon\cca, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, and Quanzheng Li

   Nature medicine, 2021

   Bib

   @article{dayan2021federated,
     title = {Federated learning for predicting clinical outcomes in patients with COVID-19},
     author = {Dayan, Ittai and Roth, Holger R. and Zhong, Aoxiao and Harouni, Ahmed and Gentili, Amilcare and Abidin, Anas Z. and Liu, Andrew and Costa, Anthony Beardsworth and Wood, Bradford J. and Tsai, Chien-Sung and Wang, Chih-Hung and Hsu, Chun-Nan and Lee, C. K. and Ruan, Peiying and Xu, Daguang and Wu, Dufan and Huang, Eddie and Kitamura, Felipe Campos and Lacey, Griffin and Corradi, Gustavo C\'esar de Ant\onio and Nino, Gustavo and Shin, Hao-Hsin and Obinata, Hirofumi and Ren, Hui and Crane, Jason C. and Tetreault, Jesse and Guan, Jiahui and Garrett, John W. and Kaggie, Joshua D. and Park, Jung Gil and Dreyer, Keith and Juluru, Krishna and Kersten, Kristopher and Rockenbach, Marcio Aloisio Bezerra Cavalcanti and Linguraru, Marius George and Haider, Masoom A. and AbdelMaseeh, Meena and Rieke, Nicola and Damasceno, Pablo F. and Silva, Pedro Mario Cruz e and Wang, Pochuan and Xu, Sheng and Kawano, Shuichi and Sriswasdi, Sira and Park, Soo Young and Grist, Thomas M. and Buch, Varun and Jantarabenjakul, Watsamon and Wang, Weichung and Tak, Won Young and Li, Xiang and Lin, Xihong and Kwon, Young Joon and Quraini, Abood and Feng, Andrew and Priest, Andrew N. and Turkbey, Baris and Glicksberg, Benjamin and Bizzo, Bernardo and Kim, Byung Seok and Tor-D\'\iez, Carlos and Lee, Chia-Cheng and Hsu, Chia-Jung and Lin, Chin and Lai, Chiu-Ling and Hess, Christopher P. and Compas, Colin and Bhatia, Deepeksha and Oermann, Eric K. and Leibovitz, Evan and Sasaki, Hisashi and Mori, Hitoshi and Yang, Isaac and Sohn, Jae Ho and Murthy, Krishna Nand Keshava and Fu, Li-Chen and de Mendon\cca, Matheus Ribeiro Furtado and Fralick, Mike and Kang, Min Kyu and Adil, Mohammad and Gangai, Natalie and Vateekul, Peerapon and Elnajjar, Pierre and Hickman, Sarah and Majumdar, Sharmila and McLeod, Shelley L. and Reed, Sheridan and Gräf, Stefan and Harmon, Stephanie and Kodama, Tatsuya and Puthanakit, Thanyawee and Mazzulli, Tony and de Lavor, Vitor Lima and Rakvongthai, Yothin and Lee, Yu Rim and Wen, Yuhong and Gilbert, Fiona J. and Flores, Mona G. and Li, Quanzheng},
     journal = {Nature medicine},
     publisher = {Nature Publishing Group US New York},
     volume = {27},
     number = {10},
     pages = {1735--1743},
     year = {2021},
   }

5. Left ventricle quantification challenge: A comprehensive comparison and evaluation of segmentation and regression for mid-ventricular short-axis cardiac MR data

   Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, and Shuo Li

   IEEE Journal of Biomedical and Health Informatics, 2021

   Bib

   @article{xue2021left,
     title = {Left ventricle quantification challenge: A comprehensive comparison and evaluation of segmentation and regression for mid-ventricular short-axis cardiac MR data},
     author = {Xue, Wufeng and Li, Jiahui and Hu, Zhiqiang and Kerfoot, Eric and Clough, James R. and \"Oks\"uz, Ilkay and Xu, Hao and Grau, Vicente and Guo, Fumin and Ng, Matthew and Li, Xiang and Li, Quanzheng and Liu, Lihong and Ma, Jin and Grinias, Elias and Tziritas, Georgios and Yan, Wenjun and Atehort\'ua, Ang\'elica and Garreau, Mireille and Jang, Yeonggul and Debus, Alejandro and Ferrante, Enzo and Yang, Guanyu and Hua, Tiancong and Li, Shuo},
     journal = {IEEE Journal of Biomedical and Health Informatics},
     publisher = {IEEE},
     volume = {25},
     number = {9},
     pages = {3541--3553},
     year = {2021},
   }

6. Multimodal Learning for Clinical Decision Support

   Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, and Hongzhi Wang

   2021

   Bib

   @article{syeda2021multimodal,
     title = {Multimodal Learning for Clinical Decision Support},
     author = {Syeda-Mahmood, Tanveer and Li, Xiang and Madabhushi, Anant and Greenspan, Hayit and Li, Quanzheng and Leahy, Richard and Dong, Bin and Wang, Hongzhi},
     year = {2021},
   }

2020

1. A novel fMRI representation learning framework with GAN

   Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, and Quanzheng Li

   In Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 11, 2020

   Bib

   @inproceedings{dong2020novel,
     title = {A novel fMRI representation learning framework with GAN},
     author = {Dong, Qinglin and Qiang, Ning and Lv, Jinglei and Li, Xiang and Dong, Liang and Liu, Tianming and Li, Quanzheng},
     booktitle = {Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 11},
     organization = {Springer International Publishing},
     pages = {21--29},
     year = {2020},
   }

2. ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning

   Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, and Quanzheng Li

   In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020

   Bib

   @inproceedings{zhang2020ascnet,
     title = {ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning},
     author = {Zhang, Mo and Zhao, Jie and Li, Xiang and Zhang, Li and Li, Quanzheng},
     booktitle = {2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
     organization = {IEEE},
     pages = {144--148},
     year = {2020},
   }

3. Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder

   Peng Wang, Xi Jiang, Hanbo Chen, Shu Zhang, Xiang Li, Qingjiu Cao, Li Sun, Lu Liu, Binrang Yang, and Yufeng Wang

   Frontiers in human neuroscience, 2020

   Bib

   @article{wang2020assessing,
     title = {Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder},
     author = {Wang, Peng and Jiang, Xi and Chen, Hanbo and Zhang, Shu and Li, Xiang and Cao, Qingjiu and Sun, Li and Liu, Lu and Yang, Binrang and Wang, Yufeng},
     journal = {Frontiers in human neuroscience},
     publisher = {Frontiers},
     pages = {481},
     year = {2020},
   }

4. Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease

   Mo Zhang, Xiang Li, Mengjia Xu, and Quanzheng Li

   IEEE Journal of Biomedical and Health Informatics, 2020

   Bib

   @article{zhang2020automated,
     title = {Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease},
     author = {Zhang, Mo and Li, Xiang and Xu, Mengjia and Li, Quanzheng},
     journal = {IEEE Journal of Biomedical and Health Informatics},
     publisher = {IEEE},
     volume = {24},
     number = {11},
     pages = {3095--3102},
     year = {2020},
   }

5. Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans

   Xing Wang, Li Zhang, Xin Yang, Lei Tang, Jie Zhao, Gaoxiang Chen, Xiang Li, Shi Yan, Shaolei Li, Yue Yang, Yanqing Kang, Q Li, and Nan Wu

   European journal of radiology, 2020

   Bib

   @article{wang2020deep,
     title = {Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans},
     author = {Wang, Xing and Zhang, Li and Yang, Xin and Tang, Lei and Zhao, Jie and Chen, Gaoxiang and Li, Xiang and Yan, Shi and Li, Shaolei and Yang, Yue and Kang, Yanqing and Li, Q and Wu, Nan},
     journal = {European journal of radiology},
     publisher = {Elsevier},
     volume = {129},
     pages = {109150},
     year = {2020},
   }

6. Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)

   Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, and Quanzheng Li

   In Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII 23, 2020

   Bib

   @inproceedings{dong2020discovering,
     title = {Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)},
     author = {Dong, Qinglin and Qiang, Ning and Lv, Jinglei and Li, Xiang and Liu, Tianming and Li, Quanzheng},
     booktitle = {Medical Image Computing and Computer Assisted Intervention--MICCAI 2020: 23rd International Conference, Lima, Peru, October 4--8, 2020, Proceedings, Part VII 23},
     organization = {Springer International Publishing},
     pages = {498--507},
     year = {2020},
   }

7. Multi-label detection and classification of red blood cells in microscopic images

   Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, and Quanzheng Li

   In 2020 IEEE International Conference on Big Data (Big Data), 2020

   Bib

   @inproceedings{qiu2020multi,
     title = {Multi-label detection and classification of red blood cells in microscopic images},
     author = {Qiu, Wei and Guo, Jiaming and Li, Xiang and Xu, Mengjia and Zhang, Mo and Guo, Ning and Li, Quanzheng},
     booktitle = {2020 IEEE International Conference on Big Data (Big Data)},
     organization = {IEEE},
     pages = {4257--4263},
     year = {2020},
   }

8. Multiscale Multimodal Medical Imaging

   Quanzheng Li, Richard Leahy, Bin Dong, and Xiang Li

   2020

   Bib

   @misc{li2020multiscale,
     title = {Multiscale Multimodal Medical Imaging},
     author = {Li, Quanzheng and Leahy, Richard and Dong, Bin and Li, Xiang},
     publisher = {Springer International Publishing},
     year = {2020},
   }

9. Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study

   Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, and Vahid Tarokh

   IEEE Access, 2020

   Bib

   @article{jeong2020sparse,
     title = {Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study},
     author = {Jeong, Seongah and Li, Xiang and Yang, Jiarui and Li, Quanzheng and Tarokh, Vahid},
     journal = {IEEE Access},
     publisher = {IEEE},
     volume = {8},
     pages = {36728--36740},
     year = {2020},
   }

10. Spatiotemporal attention autoencoder (STAAE) for ADHD classification

    Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, and Quanzheng Li

    In Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII 23, 2020

    Bib

    @inproceedings{dong2020spatiotemporal,
      title = {Spatiotemporal attention autoencoder (STAAE) for ADHD classification},
      author = {Dong, Qinglin and Qiang, Ning and Lv, Jinglei and Li, Xiang and Liu, Tianming and Li, Quanzheng},
      booktitle = {Medical Image Computing and Computer Assisted Intervention--MICCAI 2020: 23rd International Conference, Lima, Peru, October 4--8, 2020, Proceedings, Part VII 23},
      organization = {Springer International Publishing},
      pages = {508--517},
      year = {2020},
    }

2019

1. 3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification

   Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, and Quanzheng Li

   In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019

   Bib

   @inproceedings{bao20193d,
     title = {3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification},
     author = {Bao, Han and Ren, Hui and Zhou, Zhiling and Li, Xiang and Guo, Ning and Li, Quanzheng},
     booktitle = {2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
     organization = {IEEE},
     pages = {789--792},
     year = {2019},
   }

2. Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model

   Jie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, and Li Zhang

   In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019

   Bib

   @inproceedings{zhao2019automated,
     title = {Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model},
     author = {Zhao, Jie and Li, Quanzheng and Li, Xiang and Li, Hongfeng and Zhang, Li},
     booktitle = {2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
     organization = {IEEE},
     pages = {1514--1518},
     year = {2019},
   }

3. Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples

   Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, and Quanzheng Li

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019

   Bib

   @inproceedings{wu2019consensus,
     title = {Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples},
     author = {Wu, Dufan and Gong, Kuang and Kim, Kyung Sang and Li, Xiang and Li, Quanzheng},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     organization = {Springer},
     pages = {741--749},
     year = {2019},
   }

4. Deep Learning-Based Image Segmentation on Multimodal Medical Imaging

   Zhe Guo, Xiang Li, Heng Huang, Ning Guo, and Quanzheng Li

   IEEE Transactions on Radiation and Plasma Medical Sciences, 2019

   Bib

   @article{guo2019deep,
     title = {Deep Learning-Based Image Segmentation on Multimodal Medical Imaging},
     author = {Guo, Zhe and Li, Xiang and Huang, Heng and Guo, Ning and Li, Quanzheng},
     journal = {IEEE Transactions on Radiation and Plasma Medical Sciences},
     publisher = {IEEE},
     volume = {3},
     number = {2},
     pages = {162--169},
     year = {2019},
   }

5. Deep learning-enabled system for rapid pneumothorax screening on chest CT

   Xiang Li, James H Thrall, Subba R Digumarthy, Mannudeep K Kalra, Pari V Pandharipande, Bowen Zhang, Chayanin Nitiwarangkul, Ramandeep Singh, Ruhani Doda Khera, and Quanzheng Li

   European journal of radiology, 2019

   Bib

   @article{li2019deep,
     title = {Deep learning-enabled system for rapid pneumothorax screening on chest CT},
     author = {Li, Xiang and Thrall, James H and Digumarthy, Subba R and Kalra, Mannudeep K and Pandharipande, Pari V and Zhang, Bowen and Nitiwarangkul, Chayanin and Singh, Ramandeep and Khera, Ruhani Doda and Li, Quanzheng},
     journal = {European journal of radiology},
     publisher = {Elsevier},
     volume = {120},
     pages = {108692},
     year = {2019},
   }

6. Four-Dimensional Modeling of fMRI Data via Spatio–Temporal Convolutional Neural Networks (ST-CNNs)

   Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, and Tianming Liu

   IEEE Transactions on Cognitive and Developmental Systems, 2019

   Bib

   @article{zhao2019four,
     title = {Four-Dimensional Modeling of fMRI Data via Spatio--Temporal Convolutional Neural Networks (ST-CNNs)},
     author = {Zhao, Yu and Li, Xiang and Huang, Heng and Zhang, Wei and Zhao, Shijie and Makkie, Milad and Zhang, Mo and Li, Quanzheng and Liu, Tianming},
     journal = {IEEE Transactions on Cognitive and Developmental Systems},
     publisher = {IEEE},
     volume = {12},
     number = {3},
     pages = {451--460},
     year = {2019},
   }

7. Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics

   Han Wang, Kun Xie, Li Xie, Xiang Li, Meng Li, Cheng Lyu, Hanbo Chen, Yaowu Chen, Xuesong Liu, Joe Tsien, and Tianming Liu

   Brain topography, 2019

   Bib

   @article{wang2019functional,
     title = {Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics},
     author = {Wang, Han and Xie, Kun and Xie, Li and Li, Xiang and Li, Meng and Lyu, Cheng and Chen, Hanbo and Chen, Yaowu and Liu, Xuesong and Tsien, Joe and Liu, Tianming},
     journal = {Brain topography},
     publisher = {Springer US},
     volume = {32},
     number = {2},
     pages = {255--270},
     year = {2019},
   }

8. Functional neuroimaging in the new era of big data

   Xiang Li, Ning Guo, and Quanzheng Li

   Genomics, Proteomics & Bioinformatics, 2019

   Bib

   @article{li2019functional,
     title = {Functional neuroimaging in the new era of big data},
     author = {Li, Xiang and Guo, Ning and Li, Quanzheng},
     journal = {Genomics, Proteomics \& Bioinformatics},
     publisher = {Oxford University Press},
     volume = {17},
     number = {4},
     pages = {393--401},
     year = {2019},
   }

9. Multi-estimator full left ventricle quantification through ensemble learning

   Jiasha Liu, Xiang Li, Hui Ren, and Quanzheng Li

   In Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers 9, 2019

   Bib

   @inproceedings{liu2019multi,
     title = {Multi-estimator full left ventricle quantification through ensemble learning},
     author = {Liu, Jiasha and Li, Xiang and Ren, Hui and Li, Quanzheng},
     booktitle = {Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers 9},
     organization = {Springer International Publishing},
     pages = {459--465},
     year = {2019},
   }

10. Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks

    Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, and Quanzheng Li

    In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019

    Bib

    @inproceedings{zhao2019multi,
      title = {Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks},
      author = {Zhao, Xuandong and Li, Xiang and Guo, Ning and Zhou, Zhiling and Meng, Xiaxia and Li, Quanzheng},
      booktitle = {2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
      organization = {IEEE},
      pages = {837--840},
      year = {2019},
    }

11. Novel Radiomic Features Based on Graph Theory for PET Image Analysis

    Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, and Quanzheng Li

    In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019

    Bib

    @inproceedings{zhou2019novel,
      title = {Novel Radiomic Features Based on Graph Theory for PET Image Analysis},
      author = {Zhou, Zhiling and Guo, Ning and Cui, Jianan and Meng, Xiaxia and Hu, Yiwei and Bao, Han and Li, Xiang and Li, Quanzheng},
      booktitle = {2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
      organization = {IEEE},
      pages = {1311--1314},
      year = {2019},
    }

12. Personalized Treatment for Heart Failure With Preserved Ejection Fraction Using Deep Reinforcement Learning

    Hui Ren, Sijia Yu, Xiang Li, Wei Qiu, Aoxiao Zhong, Ning Guo, and Quanzheng Li

    Circulation, 2019

    Bib

    @article{ren2019personalized,
      title = {Personalized Treatment for Heart Failure With Preserved Ejection Fraction Using Deep Reinforcement Learning},
      author = {Ren, Hui and Yu, Sijia and Li, Xiang and Qiu, Wei and Zhong, Aoxiao and Guo, Ning and Li, Quanzheng},
      journal = {Circulation},
      publisher = {Am Heart Assoc},
      volume = {140},
      number = {Suppl\_1},
      pages = {A15036--A15036},
      year = {2019},
    }

13. Predicting Alzheimer’s Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging

    Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, and Quanzheng Li

    In 2019 IEEE International Conference on Big Data (Big Data), 2019

    Bib

    @inproceedings{guo2019predicting,
      title = {Predicting Alzheimer’s Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging},
      author = {Guo, Jiaming and Qiu, Wei and Li, Xiang and Zhao, Xuandong and Guo, Ning and Li, Quanzheng},
      booktitle = {2019 IEEE International Conference on Big Data (Big Data)},
      organization = {IEEE},
      pages = {5359--5363},
      year = {2019},
    }

14. Recurrent Neural Network Enhance Phenotyping in Heart Failure With Preserved Ejection Fraction Using Electronic Health Record

    Hui Ren, Wei Qiu, Aoxiao Zhong, Sijia Yu, Xiang Li, Ning Guo, and Quanzheng Li

    Circulation, 2019

    Bib

    @article{ren2019recurrent,
      title = {Recurrent Neural Network Enhance Phenotyping in Heart Failure With Preserved Ejection Fraction Using Electronic Health Record},
      author = {Ren, Hui and Qiu, Wei and Zhong, Aoxiao and Yu, Sijia and Li, Xiang and Guo, Ning and Li, Quanzheng},
      journal = {Circulation},
      publisher = {Am Heart Assoc},
      volume = {140},
      number = {Suppl\_1},
      pages = {A12835--A12835},
      year = {2019},
    }

15. Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

    Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, and Tommaso Mansi

    2019

    Bib

    @book{pop2019statistical,
      title = {Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers},
      author = {Pop, Mihaela and Sermesant, Maxime and Zhao, Jichao and Li, Shuo and McLeod, Kristin and Young, Alistair and Rhode, Kawal and Mansi, Tommaso},
      publisher = {Springer},
      volume = {11395},
      year = {2019},
    }