团队负责人：
MIRACLE中心主任、中科院学术帅才
美国国家学术发明院院士
IEEE&AIMBE&MICCAI Fellow
医学影像、机器人与智能分析（MIRACLE) 奇迹实验室于2018年6月成立, 隶属中科院智能信息处理重点实验室，是中国科学技术大学苏州高等研究院医学影像智能与机器人研究中心的一部分。目前主要成员包括教授1名、特任研究院1名、特任副研究员2名、博士后4名和学生近100名。
团队成员：
谢希科（特任研究员）、刘克飞（特任副研究员）、蒋子航（特任副研究员）、李凯彦（博士后）、张梦鸽（博士后）、颜锐（博士后）、张坤（博士后）
主要研究内容：
科研项目:（在研）
基于医学多源多模态学习+知识模型的智慧医疗研究，2022.07-2027.06，周少华；
融合知识图谱的医学大模型推理关键技术研发苏州市前沿技术研究和科技成果转化（数字创新、装备制造、先进材料），2023.11-2026.12，苏州市科技局项目，周少华；
单样本医学影像分析关键技术研究，2023.01-2026.12，国家自然科学基金面上项目，周少华；
面向图流计算的神经图Sketch技术研究，2025.01-2028.12 ，国家自然科学基金面上项目，谢希科；
面向稀疏城市感知的群智协同数据质量管理关键技术研究，2021.01-2024.12，国家自然科学基金面上项目，谢希科；
基于低剂量胸部CT多任务生成式人工智能预警慢性阻塞性肺疾病的技术研究，2025.01-2029.12 ，国家自然科学基金重点项目，谢希科；
大模型的长序列训练和推理，2023.10-2024.10，谢希科。
近期主要研究论文：
[1] Q Wang, S Zhao, Z Xu,and S Kevin Zhou. LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation. Medical Image Analysis, 2024.
[2] Y Deng, Z Ji, Y Wang, and S Kevin Zhou. OS-SSVEP: One-shot SSVEP classification. Neural Networks,2024.
[3] K Li, et al. and S Kevin Zhou. O-PRESS: Boosting OCT axial resolution with prior guidance, recurrence, and equivariant self-supervision. Medical Image Analysis, 2024.
[4] S Kevin Zhou, Q Dou, Y Gao, H Han, J Ma, J Sun, D Zhang, S Zhao, and Y Zheng. Artificial intelligence algorithm advances in medical imaging and image analysis. Artificial Intelligence in Medical Imaging in China, Shiyuan Liu (Ed.), 83-110, 2024.
[5] Y Zhou, T Chen, J Hou, H Xie, NC Dvornek, S Kevin Zhou, DL Wilson, JS Duncan, C Liu, and B Zhou. Cascaded multi-path shortcut diffusion model for medical image translation. Medical Image Analysis, 2024.
[6] T Wu, C Huang, S Jia, W Li, R Chan, Tieyong Zeng, and S Kevin Zhou. Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization. Applied Mathematics and Computation, 47(15), September 2024.
[7] Han Yang; Qiuli Wang; Yue Zhang; Zhulin An; Chen Liu; Xiaohong Zhang, S. Kevin Zhou. Lung nodule segmentation and uncertain region prediction with an uncertainty-aware attention mechanism. IEEE Trans. on Medical Imaging, 43(4), April 2024. （医学影像分析顶级期刊，IF：10.6）
[8] Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, mJianji Wang, S. Kevin Zhou. PELE scores: Pelvic X-ray landmark detection with pelvis extraction and enhancement. International Journal of Computer Assisted Radiology and Surgery, 2024. (计算机辅助手术顶级期刊，IF：3.0)
[9] Yue Zhang, Chengtao Peng, Qiuli Wang, Dan Song, Kaiyan Li, S. Kevin Zhou. Unified multi-modal image synthesis for missing MR sequence imputation. IEEE Trans. on Medical Imaging, 2024. （医学影像分析顶级期刊，IF：10.6)
[10] QuanQuan, Qingsong Yao, Heqin Zhu, Qiyuan Wang, S. Kevin Zhou. Which images to label for few-shot medical image analysis? Medical Image Analysis, 2024. （医学影像分析顶级期刊，IF：10.9)
[11] Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, S. Kevin Zhou. Addressing fairness issues in deep learning-based medical image analysis: A systematic review. npj Digital Medicine, 2024. (医学信息学顶级期刊，IF：15.2)
[12] Quan Quan, Qingsong Yao, Jun Li, S.kevin Zhou. Information-guided pixel augmentation for pixel-wise contrastive learning for medical image analysis. IEEE Trans. on Medical Imaging, 2024. (医学影像分析顶级期刊，IF：10.6)
[13] Yukun Cao, Yuan Feng, Hairu Wang, Xike Xie, S. Kevin Zhou. Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data. TPAMI 2024 (CCF 推荐A类)
[14] J Wang, S Song, X Wang, Y Wang, Y Miao, J Su, and S Kevin Zhou. ProMISe: Promptable medical image segmentation using SAM. NeurIPS AIM-FM Workshop, 2024.
[15] R Jin, Z Xu, Y Zhong, Q Yao, Q Dou, S Kevin Zhou, and X Li. FairMedFM: Fairness benchmarking for medical imaging foundation models. NeurIPS (Datasets and Benchmarks Track), 2024.
[16] X Liu, J Wang, S Kevin Zhou, C Engstrom, and S Chandra. Evidence-aware multi-modal data fusion and its application to total knee replacement prediction. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Perth, Australia, 2024.
[17] Y Huo, Y Shi, J Feng, Z Tao, Z Huang, L Yang, N Liu, L He, and S Kevin Zhou. CA-SAM: Enhancing the segment anything model in medical image segmentation with bi-group clicks guidance and lightweight adapter. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024.
[18] Y Li, S Yang, X Wu, S He, and S Kevin Zhou. Taming stable diffusion for MRI cross-modality translation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024.
[19] Y Deng, C Wang, et al. and S Kevin Zhou. CTSpine1K: A large-scale dataset for spinal vertebrae segmentation in computed tomography. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Open Data, Marrakesh, Morocco, 2024.
[20] Z Zhao, F Feng, X Yang, Q Xu, C Guan, and S Kevin Zhou. See, predict, plan: Diffusion for procedure planning in robotic surgical videos. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
[21] H Zhang, M Zhao, M Liu, J Luo, Y Guan, J Zhang, Y Xia, D Zhang, X Zhou, L Fan, S Liu, and S Kevin Zhou. Hierarchical multiple instance learning for COPD grading with relatively specific similarity. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
[22] X Fu, Y Li, F Tang, J Li, M Zhao, G Teng, and S Kevin Zhou. 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
[23] X Wang, Z Xu, H Zhu, Q Yao, Y Sun, and S Kevin Zhou. SIX-Net: Spatial-context information mix-up for electrode landmark detection. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024. (early accepted)
[24] H Tang et al., Zaiyi Liu, and S. Kevin Zhou. HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training [C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 2024. （early accepted, 医学影像分析顶级年会, 前13%）
[25] X Wang, Z Xu, Q Yao, Y Sun, and S Kevin Zhou. OFELIA: Optical flow-based electrode localization. Medical Imaging with Deep Learning (MIDL), Paris, France, 2024.
[26] Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S.Kevin Zhou. Slide-SAM: Medical SAM meets sliding window [C]//Medical Imaging with Deep Learning. 2024. （医学影像分析顶级年会，论文总评分达满分15分）
[27] W Chen, C Feng, A Ke, X Xie, and S Kevin Zhou. Out-of-distribution detection for learning-based chest X-ray diagnosis. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 2024.
[28] D Sun, L Li, Z Zhang, H Qiu, S Zhao, and S Kevin Zhou. DNA-DIR: 2D-3D geometry embedding for intraoperative partial-to-full registration. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (oral, 1/12 Finalists for Best Paper Award in Oral Presentations)
[29] H Lai, Q Yao, Z He, X Tao, and S Kevin Zhou. Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (oral)
[30] F Tang, J Ding, Q Quan, L Wang, C Ning, and S Kevin Zhou. CMUNeXt: An efficient medical image segmentation network based on large kernel and skip fusion. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (oral)
[31] Z Gao and and S Kevin Zhou. Rethinking dual-domain undersampled MRI reconstruction: Domain-specific design from the perspective of the receptive field. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (oral)
[32] C Wang, Y Gu, P Liu, S Zhang, and S Kevin Zhou. E-DM: Evaluating diffusion model by conformal prediction. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024.
[33] Q Yao, Z He, X Yu and S Kevin Zhou. Nowhere to hide: Toward robust reactive medical adversarial defense. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (oral)
[34] J Wei, S Kevin Zhou, S Cui and Z Li. WeakPCSOD: Overcoming the bias of box annotations for weakly supervised point cloud salient object detection. The 38th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
[35] J Wang, S Song, J Su, and S Kevin Zhou. Distortion-disentangled contrastive learning. Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2024. (oral)
[36] Yilong Ren, Chuanwen Feng, Xike Xie. S. Kevin Zhou. Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning. IJCAI 2024 (CCF 推荐A类)
[37] Quan Li, Xike Xie. Chao Wang, S. Kevin Zhou. Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. IJCAI 2024 (CCF 推荐A类)
[38] Zezhong Ding, Yongan Xiang, Shangyou Wang, Xike Xie, S. Kevin Zhou. Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning.. SIGMOD 2024 (CCF 推荐A类)
[39] Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S. Kevin Zhou. Mayfly: a Neural Data Structure for Graph Stream Summarization. ICLR 2024 (Spotlight paper, 清华/科大A类)
[40] Zhidong Yu, Wei Yang, Xike Xie, Zhenbo Shi. TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation. AAAI 2024 (CCF 推荐A类)
[41] Zezhong Ding, Deyu Kong, Zhuoxu Zhang, Xike Xie, Jianliang Xu ClusPar: A Game-Theoretic Approach for Efficient and Scalable Streaming Edge Partitioning. (CCF 推荐A类)
[42] Yongan Xiang, Zezhong Ding, Rui Guo, Shangyou Wang, Xike Xie, S. Kevin Zhou. Capsule: an Out-of-Core Training Mechanism for Colossal GNNs. SIGMOD 2025 (CCF 推荐A类)
[43] Lai, H., Yao, Q., Jiang, Z., Wang, R., He, Z., Tao, X., & Zhou, S.K. (2024). CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11137-11146.（计算机视觉顶级年会）
[44] Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Anal 2023（中科院一区）Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou 通讯作者；
[45] Radiology report generation with a learned knowledge base and multi-modal alignment. Medical Image Anal 2023（中科院一区）Shuxin Yang, Xian Wu, Shen Ge, Zhuozhao Zheng, S. Kevin Zhou, Li Xiao 通讯作者；
[46] Histopathological bladder cancer gene mutation prediction with hierarchical deepmultiple-instance learning. Medical Image Anal 2023（中科院一区）Rui Yan, Yijun Shen, Xueyuan Zhang, Peihang Xu, Jun Wang, Jintao Li, Fei Ren, Dingwei Ye, S. Kevin Zhou通讯作者；
[47] FedFTN: Personalized federated learning with deep feature transformation network formulti-institutional low-count PET denoising.Medical Image Anal 2023（中科院一区）Bo Zhou, HuidongXie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu通讯作者；
[48] LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation.IEEE Trans. Medical Imaging 2023（中科院一区）Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou通讯作者；
[49] Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix.IEEE Trans. Medical Imaging 2023（中科院一区）PengchongQiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen通讯作者；
[50] Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. IEEE Trans. Medical Imaging 2023（中科院一区）Yue Zhang, Chengtao Peng, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, S. Kevin Zhou通讯作者；
[51] Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism.IEEE Trans. Medical Imaging 2023（中科院一区）Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Liu Chen, Xiaohong Zhang, S Kevin Zhou通讯作者；
[52] Adversarial Medical Image with Hierarchical Feature Hiding.IEEE Trans. Medical Imaging 2023（中科院一区）Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou通讯作者；
[53] TRCA-Net: using TRCA filters to boost the SSVEP classification with convolutional neural Network.Journal of Neural Engineering 2023 Yang Deng, Qingyu Sun, Ce Wang, Yijun Wang, S Kevin Zhou；
[54] Multi-level effective surgical workflow recognition in robotic left lateralsectionectomywith deep learning: Experimental research.International Journal of Surgery 2023 Yanzhe Liu, Shang Zhao, Gong Zhang, Xiuping Zhang, Minggen Hu, Xuan Zhang, Chenggang Li, S Kevin Zhou, Rong Liu；
[55]18F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery.EJNMMI research 2023 Gong Zhang, Chengkai Bao, Yanzhe Liu, Zizheng Wang, Lei Du, Yue Zhang, Fei Wang, Baixuan Xu, S Kevin Zhou, Rong Liu；
[56] UOD: Universal One-Shot Detection of Anatomical Landmarks. MICCAI 2023（医学影像领域顶会，CCF 推荐B类）Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou通讯作者；
[57] DiffULD: Diffusive Universal Lesion Detection. MICCAI 2023（医学影像领域顶会，CCF 推荐B类）Peiang Zhao, Han Li, RuiyangJin, S. Kevin Zhou通讯作者；
[58] FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification. MICCAI 2023（医学影像领域顶会，CCF 推荐B类）Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou 通讯作者；
[59] Label-Free Nuclei Segmentation Using Intra-Image Self Similarity. MICCAI 2023（医学影像领域顶会，CCF 推荐B类）Long Chen, Han Li, S. Kevin Zhou 通讯作者；
[60] WeakPolyp: You only Look Bounding Box for Polyp Segmentation. MICCAI 2023（医学影像领域顶会，CCF 推荐B类） Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li 通讯作者；
[61] Active CT Reconstruction with a Learned Sampling Policy. ACM Multimedia 2023（多媒体领域顶会，CCF 推荐A类）Ce Wang, Kun Shang, Haimiao Zhang, Shang Zhao, Dong Liang, S. Kevin Zhou通讯作者；
[62] Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction. NeurIPS 2023 (人工智能领域顶会，CCF 推荐A类) Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang；
[63] Rethinking semi-supervised medical image segmentation: A variance-reduction perspective. NeurIPS 2023 (人工智能领域顶会，CCF 推荐A类)Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, David A. Clifton, S. Kevin Zhou, Lawrence Staib, James S Duncan;
[64] Retrieve2Segment: Patch retrieval for performant zero-shot cross-modality segmentation.The Big Task Small Data (BTSD) 1001-AI Workshop 2023 Yingtai Li, S Kevin Zhou；
[65] O2CTA: Introducing annotations from OCT to CCTA in coronary plaque analysis. The Big Task Small Data (BTSD) 1001-AI Workshop 2023 Jun Li, Kexin Li, Yafeng Zhou, S. Kevin Zhou；
[66] DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.The 1st International Workshop on Generalizing from Limited Resources in the Open World. Shitong Shao, Xiaohan Yuan, Zhen Huang, ZimingQiu, Shuai Wang, S. Kevin Zhou；
[67] Deep slice interpolation via marginal superresolution, fusion, and refinement.State of the Art in Neural Networks and Their Applications（出版书籍）Cheng Peng, WA Lin, H Liao, R Chellappa, S Kevin Zhou通讯作者；
[68] OT-Filter: An Optimal Transport Filter for Learning with Noisy Labels. CVPR 2023 (计算视觉领域顶会，CCF 推荐A类)Chuanwen Feng, Yikong Ren, Xike Xie通讯作者；
[69] Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. ICDE 2023 (数据库领域顶会，CCF 推荐A类)Yukun Cao, Xike Xie, Kexing Huang通讯作者；
[70] Meta-sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams. AAAI 2023 (人工智能领域顶会，CCF 推荐A类)Yukun Cao, Yuan Feng, Xike Xie. 通讯作者；
[71] A Probabilistic Sketch for Summarizing Cold Items of Data Streams. TON 2023 (网络领域顶刊，CCF推荐A类期刊) Yongqiang Liu, Xike Xie. 通讯作者；
[72] Multithreading Heterogeneous Graph Aggregation. TKDE 2023 (大数据领域顶刊，CCF推荐A类期刊) Kai Zou, Haoyun Li, Xike Xie, X.Sean. Wang. 通讯作者；
[73] Approximate Indexing for Top-k Queries over Massive Spatio-textual Data Streams. ICDE workshop 2023. Hangjia Cen, Jiali Weng, Xin Cao, Xike Xie. 通讯作者
[74] VR-Explorer: A Demonstration of a Virtual Reality Interactive Data Exploration System. GROUP 2023 (Demo, CCF推荐B类会议) Haoyun Li, Yukun Cao, Xike Xie. 通讯作者
[75] Boosting Out-of-Distribution Detection with Sample Weighting. PRCV 2023 (CCF 推荐C类会议) AoKe, Wenlong Chen, Chuanwen Feng, Xike Xie. 通讯作者
[76] Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. WISE 2023 (CCF 推荐C类会议) Ting Huang, Xiufeng Liu, Xike Xie. 通讯作者
