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Nature BME 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. Towards a General-Purpose Foundation Model for Functional MRI Analysis. Nature Biomedical Engineering, 2026.
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ISBI 2026 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. MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision–Language Models. IEEE International Symposium on Biomedical Imaging (ISBI), 2026.
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Quantitative Biology 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. Large Language Models for Bioinformatics. Quantitative Biology, 2026.
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Meta-Radiology 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. Quantum Artificial Intelligence: A Comprehensive Survey. Meta-Radiology, 2026.
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AAAI FSS 2025 Yi Pan*, Hanqi Jiang*, Junhao Chen, Yiwei Li, Huaqin Zhao, Lin Zhao, Yohannes Abate, Yingfeng Wang, and Tianming Liu. Bridging Classical and Quantum Computing for Next-Generation Language Models. AAAI Fall Symposium Series (FSS), 2025.
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TBME 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. ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data. IEEE Transactions on Biomedical Engineering, 2025.
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Acta Biomaterialia Jixin Hou, Kun Jiang, Arunachalam Ramanathan, Abhishek Saji Kumar, Wei Zhang, Lin Zhao, Taotao Wu, Ramana Pidaparti, Dajiang Zhu, Gang Li, Kenan Song, Tianming Liu, Mir Jalil Razavi, Ellen Kuhl, and Xianqiao Wang. Mechanical Characterization of Brain Tissue: Experimental Techniques, Human Testing Considerations, and Perspectives. Acta Biomaterialia, 2025.
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BDMA Luyang Fang, Cheng Meng, Lin Zhao, Tao Wang, Tianming Liu, Wenxuan Zhong, and Ping Ma. SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training. Big Data Mining and Analytics, 2025.
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TMI Lin Zhao, Xin Yu, Yikang Liu, Xiao Chen, Eric Z Chen, Terrence Chen, Shanhui Sun. Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography. IEEE Transactions on Medical Imaging, 2025.
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MICCAI 2025 Xiaoran Zhang, Eric Z Chen, Lin Zhao, Xiao Chen, Yikang Liu, Boris Maihe, James S Duncan, Terrence Chen, and Shanhui Sun. Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
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TNNLS Lin Zhao, Xiao Chen, Eric Z Chen, Yikang Liu, Terrence Chen, and Shanhui Sun. Retrieval-Augmented Few-Shot Medical Image Segmentation with Foundation Models. IEEE Transactions on Neural Networks and Learning Systems, 2025.
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Meta-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. Radiology-GPT: A Large Language Model for Radiology. Meta-Radiology, 2025.
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Psychoradiology Lin Zhao. Advances in Functional Magnetic Resonance Imaging-based Brain Function Mapping: A Deep Learning Perspective. Psychoradiology, 2025.
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PLOS Global Public Health Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Shen Ye, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Tai-Quan Peng, Quanzheng Li, Zhuo Chen, Donglan Zhang, Tianming Liu, Gengchen Mai. AD-AutoGPT: An Autonomous GPT for Alzheimer’s Disease Infodemiology. PLOS Global Public Health, 2025.
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AAAI 2025 Shaoyan Pan, Yikang Liu, Lin Zhao, Eric Z. Chen, Xiao Chen, Terrence Chen, and Shanhui Sun. Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy. AAAI Conference on Artificial Intelligence (AAAI), 2025.
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TBD 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. Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. IEEE Transactions on Big Data, 2025.
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TBD 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. AugGPT: Leveraging ChatGPT for Text Data Augmentation. IEEE Transactions on Big Data, 2025.
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MedIA Lu Zhang, Zhengwang Wu, Xiaowei Yu, Yanjun Lyu, Zihao Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, and Dajiang Zhu. Learning Lifespan Brain Anatomical Correspondence via Cortical Developmental Continuity Transfer. Medical Image Analysis, 2025.
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Book Chapter Ning Qiang, Qinglin Dong, Heng Huang, Han Wang, Shijie Zhao, Xintao Hu, Qing Li, Wei Zhang, Yiheng Liu, Mengshen He, Bao Ge, Lin Zhao, Zihao Wu, Lu Zhang, Steven Xu, Dajiang Zhu, Xi Jiang, and Tianming Liu. Deep Learning in Functional Brain Mapping and Associated Applications. Deep Learning for Medical Image Analysis, 2024.
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RBME Xiang Li*, Lin Zhao*, Lu Zhang*, Zihao Wu, Zhengliang Liu, Hanqi Jiang, Chao Cao, Shaochen Xu, Yiwei Li, Haixing Dai, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkun Yan, Quanzheng Li, Wei Liu, Tianming Liu, and Dinggang Shen. Artificial General Intelligence for Medical Imaging Analysis. IEEE Reviews in Biomedical Engineering, 2024.
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MICCAI 2024 Yikang Liu, Lin Zhao, Eric Z. Chen, Xiao Chen, Terrence Chen, and Shanhui Sun. Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
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TMM Heng Huang*, Lin Zhao*, Haixing Dai, Lu Zhang, Xintao Hu, Dajiang Zhu, and Tianming Liu. BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity. IEEE Transactions on Multimedia, 2024.
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TNNLS Yuzhong Chen, Zhenxiang Xiao, Yi Pan, Lin Zhao, Haixing Dai, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, and Xi Jiang. Mask-Guided Vision Transformer for Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems, 2024.
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Cerebral Cortex Lin Zhao, Haixing Dai, Zihao Wu, Xi Jiang, Dajiang Zhu, Tuo Zhang, and Tianming Liu. Hierarchical Functional Differences between Gyri and Sulci at Different Scales. Cerebral Cortex, 2024.
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JBHI Wei Mao, Yuzhong Chen, Zhibin He, Zifan Wang, Zhenxiang Xiao, Yusong Sun, Liang He, Jingchao Zhou, Weitong Guo, Chong Ma, Lin Zhao, Keith M Kendrick, Bo Zhou, Benjamin Becker, Tianming Liu, Tuo Zhang, and Xi Jiang. Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. IEEE Journal of Biomedical and Health Informatics, 2024.
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TNNLS Yuzhong Chen, Zhenxiang Xiao, Yu Du, Lin Zhao, Lu Zhang, Zihao Wu, Dajiang Zhu, Tuo Zhang, Dezhong Yao, Xintao Hu, Tianming Liu, and Xi Jiang. A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers. IEEE Transactions on Neural Networks and Learning Systems, 2024.
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Information Fusion 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. Instruction-ViT: Multi-Modal Prompts for Instruction Learning in Vision Transformer. Information Fusion, 2023.
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TBME Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, and Shu Zhang. MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Transactions on Biomedical Engineering, 2023.
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BIBM 2023 Yaonai Wei, Tuo Zhang, Han Zhang, Tianyang Zhong, Lin Zhao, Zhengliang Liu, Chong Ma, Songyao Zhang, Muheng Shang, Lei Du, Xiao Li, Tianming Liu, and Junwei Han. Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. International Conference on Bioinformatics and Biomedicine (BIBM), 2023.
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Meta-Radiology 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. Review of Large Vision Models and Visual Prompt Engineering. Meta-Radiology, 2023.
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MLMI 2024 Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Diez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, and Xiang Li. Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. International Workshop on Machine Learning in Medical Imaging (MLMI), 2024.
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MLMI 2024 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 . Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. International Workshop on Machine Learning in Medical Imaging (MLMI), 2024.
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MedIA Lin Zhao*, Zihao Wu*, Haixing Dai, Zhengliang Liu, Xintao Hu, Tuo Zhang, Dajiang Zhu, and Tianming Liu. A Generic Framework for Embedding Human Brain Function with Temporally Correlated Autoencoder. Medical Image Analysis, 2023.
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TNNLS Chong Ma*, Lin Zhao*, Yuzhong Chen, Lei Guo, Tuo Zhang, Xintao Hu, Dinggang Shen, Xi Jiang, and Tianming Liu. Rectify ViT Shortcut Learning by Visual Saliency. IEEE Transactions on Neural Networks and Learning Systems, 2023.
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ADMA 2023 Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, and Dajiang Zhu. Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. International Conference on Advanced Data Mining and Applications (ADMA), 2023.
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Meta-Radiology 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, Dingang Shen, Tianming Liu, and Bao Ge. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models. Meta-Radiology, 2023.
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ACL Findings 2023 Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, and Xintao Hu. Fine-Grained Artificial Neurons in Audio-Transformers for Disentangling Neural Auditory Encoding. Findings of the Association for Computational Linguistics (ACL), 2023.
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AAAI 2023 Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, and Xintao Hu. Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. AAAI Conference on Artificial Intelligence (AAAI), 2023.
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TCDS Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, and Tianming Liu. Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Transactions on Cognitive and Developmental Systems, 2023.
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TMI Chong Ma*, Lin Zhao*, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, and Tianming Liu. Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning. IEEE Transactions on Medical Imaging, 2023.
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IPMI 2023 Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, and Chuantao Zuo. MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with $^{18}$F-FDG PET. International Conference on Information Processing in Medical Imaging (IPMI), 2023.
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Meta-Radiology 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. When Brain-Inspired AI Meets AGI. Meta-Radiology, 2023.
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Cerebral Cortex Lu Zhang, Lin Zhao, David Liu, Zihao Wu, Xianqiao Wang, Tianming Liu, and Dajiang Zhu. Cortex2vector: Anatomical Embedding of Cortical Folding Patterns. Cerebral Cortex, 2023.
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MICCAI 2023 Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonei Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, and Tuo Zhang. Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
