周少华博士现任中国科学技术大学教授、生物医学工程学院创始执行院长、医学影像智能与机器人（MIRACLE）研究中心主任、中科院计算所客座研究员、香港中文大学（深圳）客座教授。长期致力于医学影像的研究创新、应用落地及学术服务。（i）研究创新：在医学影像领域，率先开展“机器学习+知识模型”的系统性研究，明确“大任务、小数据”的研究范式和挑战，形成标注高效、通用模型、知识融合的三个解决途径。撰编学术专著8本，发表300余篇学术论文和章节；近三年在医学影像分析两大顶级期刊上发表论文40余篇。（ii) 应用落地：在工业界有长达14年的经历，曾任西门子高级研发总监及首席AI专家。获授权专利逾150项，算法成功转入10多项FDA批准的产品。产品部署在全球几千家医院，用于逾7百万病人的临床治疗诊断（13-17年）。（iii）学术服务：医学影像计算和计算机辅助介入顶级协会MICCAI执委兼理事（19-24）、中国生物医学工程学会人工智能分会副主任委员、Medical Open Network for AI（MONAI）顾问、顶级期刊Medical Image Analysis 、IEEE Trans. Pattern Analysis and Machine Intelligence（TPAMI）、IEEE Trans. Medical Imaging（TMI，16-23）等编委、顶级会议AAAI、CVPR、ICCV、MICCAI和NeurIPS等领域主席、MICCAI2026大会联席主席、MICCAI2020大会程序联席主席。他多次因算法、论文、专利、服务等多次获得认可和奖励，包括MICCAI年轻科学家奖提名文章、ISBI最佳论文奖提名、RD100 科技奥斯卡奖、西门子年度发明家、马里兰大学EE杰出校友奖、BMEF年度编辑等。中国科学院学术帅才、Fellow of AIMBE (美国医学与生物工程院)、IAMBE (国际医学与生物工程院)、IEEE（电气电子工程师学会）、MICCAI (学影像计算和计算机辅助介入协会)、NAI（美国国家学术发明院）。谷歌学术总引用超21000余次，H因子为72。
电子邮箱
skevinzhou@ustc.edu.cn
承担科研项目情况
1. 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；
2. 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；
3. 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；
重要科研获奖情况
1.2014. Siemens Inventor of the Year.（注：西门子年度发明家，每年颁给约12位员工。）
2. 2016. Fellow, American Institute of Medical and Biological Engineering.
3. 2017. Distinguished Alumni Award, University of Maryland, ECE.（注：2012年起，每年颁给2-5位ECE校友。申请者是最年轻的获奖者。）
4. 2020. Fellow, The Institute of Electrical and Electronics Engineers (IEEE).
5. 2021. Fellow, National Academy of Inventors (NAI)(注：美国授予学术创新发明家的最高荣誉)
6. 2022. Fellow, International Academy of Medical and Biological Engineering (IAMBE)（注：每年选中约10位Fellow。IMABE隶属IFMBE，后者有超过120，000名成员）
7. 2022. Fellow, Medical Image Computing and Computer Assisted Intervention (MICCAI) Society（注：全球第三位华人学者）
8. 2021. Editor of the Year, 《BME Frontiers》(Science Partner Journal)
近2年内学术论文和公开出版的著作
2025:
1. Z Gao, W Yang, Y Li, L Xing, and S Kevin Zhou. MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction. Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, USA, 2025. 15
2. W Yang, Z Jiang, S Zhao, and S Kevin Zhou. PostoMETRO: Pose token enhanced mesh transformer for robust 3D human mesh recovery. Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, USA, 2025.
3. W Ma, QYao, XZhang, Z Huang, Z Jiang, and S Kevin Zhou. Towards accurate unified anomaly segmen tation. Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, USA, 2025.
4. Y Xiang, Z Ding, R Guo, S Wang, X Xie, and S Kevin Zhou. Capsule: An out-of-core training mechanism for colossal GNNs. ACM SIGMOD Conference, Berlin, Germany, 2025
5. M Bian, K Zhang, D Zhao, SK Zhou, DiffRGenNet: Difference-aware medical report generation, Medical Imaging with Deep Learning, 2025
6. Y Li, H Li, SK Zhou, Causal PETS: Causality-informed PET synthesis from multi-modal data, Medical Imaging with Deep Learning, 2025
7. K Lekadir, et al. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare, British Medicine Journal, 2025
2024：
1. Q Wang, SZhao, ZXu,and SKevinZhou. LACOSTE:Exploiting stereo and temporal contexts for surgical instrument segmentation. Medical Image Analysis, 2024. (accepted)
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. Q Quan, Q Yao, H Zhu, and S Kevin Zhou. IGU-Aug: Information-guided unsupervised augmentation and pixel-wise contrastive learning for medical image analysis. IEEE Trans. on Medical Imaging, 2024.
7. Y Zhang, C Peng, Q Wang, D Song, K Li, and S Kevin Zhou. Unified multi-modal image synthesis for missing MR sequence imputation. IEEE Trans. on Medical Imaging, 2024.
8. T Wu, C Huang, S Jia, W Li,R Chan,Tieyong Zeng, and SKevin Zhou. Medical imagere construction with multi-level deep learning denoiser and tight frame regularization. Applied Mathematics and Computation, 47(15), September 2024.
9. Q Quan, Q Yao, H Zhu, Q Wang, and S Kevin Zhou. Which images to label for few-shot medical image analysis? Medical Image Analysis, 2024.
10. Z Xu, J Li, Q Yao, H Li, M Zhao, and S Kevin Zhou. Addressing fairness issues in deep learning-based medical image analysis: A systematic review. npj Digital Medicine, 2024. (10.1038/s41746-024-01276-5)
11. Y Cao, Y Feng, H Wang, X Xie, and S Kevin Zhou. Learning to sketch: A neural approach to item frequency estimation in streaming data. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2024.
12. Z Huang, H Li, S Shao, H Zhu, H Hu, Z Cheng, J Wang, and S Kevin Zhou. PELE scores: Pelvic X-ray landmark detection with pelvis extraction and enhancement. International Journal of Computer Assisted Radiology and Surgery, 2024.
13. J Wang, S Song, X Wang, Y Wang, YMiao, J Su, and S Kevin Zhou. ProMISe: Promptable medical image segmentation using SAM. NeurIPS AIM-FM Workshop, 2024.
14. 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, 2024. (Datasets and Benchmarks Track)
15. 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.
16. 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.
17. 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.
18. Y Deng, C Wang, et al. and S Kevin Zhou. CTSpine1K: A large-scale dataset for spinal vertebrae seg mentation in computed tomography. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Open Data, Marrakesh, Morocco, 2024.
19. 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.
20. 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.
21. X Fu, YLi, F Tang, J Li, M Zhao, GTeng, 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.
22. 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)
23. F Tang, R Xu, Q Yao, X Fu, Q Quan, H Zhu, Z Liu, and S Kevin Zhou. HySparK: Hybrid sparse masking for large scale medical image pre-training. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024. (early accepted)
24. Y Rong, C Feng, X Xie, and S Kevin Zhou. Partial optimal transport based out-of-distribution detection for open-set semi-supervised learning. The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, 2024.
25. Q Li, X Xie, C Wang, and S Kevin Zhou. Prompt learning with extended Kalman filter for pre-trained language models. The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, 2024.
26. 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.
27. Q Quan, F Tang, Z Xu, H Zhu, and S Kevin Zhou. Slide-SAM: Medical SAM meets sliding window. Medical Imaging with Deep Learning (MIDL), Paris, France, 2024. (full score in the blind reviewing round)
28. H Lai, Q Yao, Z Jiang, R Wang, Z He, X Tao, and S Kevin Zhou. CARZero: Cross-attention alignment for radiology zero-shot classification. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
29. Z Ding, Y Xiang, S Wang, X Xie, and S Kevin Zhou. Play like a vertex: A Stackelberg game approach for streaming graph partitioning. ACM SIGMOD Conference, Santiago, Chile, 2024.
30. 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.
31. 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)
32. 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)
33. F Tang, J Ding, Q Quan, L Wang, C Ning, and S Kevin Zhou. CMUNeXt: An efficient medical image seg mentation network based on large kernel and skip fusion. International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (oral)
34. ZGao and SKevin 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)
35. 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.
36. 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)
37. Y Feng, Y Cao, W Hairu, X Xie, and S Kevin Zhou. Mayfly: A neural data structure for graph stream summarization. The 12th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024. (spotlight)
38. 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.
39. 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)
40. H Zhu, F Tang, Q Quan, K Chen, P Xiong, S Kevin Zhou, Deep generalizable prediction of RNA secondary structure via base pair motif energy, bioRxiv, 2024.10. 22.619430
41. G Funka-Lea, H Liao, S Kevin Zhou, Y Zheng, Y Tang, Three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, US Patent App. 18/477,593
专著：
1. S Kevin Zhou, Hayit Greenspan, and Dinggang Shen (Eds.), Deep Learning for Medical Image Analysis(2nd edition), Academic Press, 2023. (ISBN 9780323851244. MICCAI book series. 518 pages)
2. Haofu Liao, S Kevin Zhou and Jiebo Luo, Deep Network Design for Medical Image Computing: Principles and Applications, Academic Press, 2022. (ISBN 9780128243831. MICCAI book series. 264 pages)
3. Qiang Yang, Lixin Fan, Jun Zhu, Yixin Chen, Quanshi Zhang, Song-Chun Zhu, Dacheng Dao, Peng Cui,S Kevin Zhou, et al. Introduction to Explainable Artificial Intelligence, Publishing House of Electronics Industry, 2022. (ISBN: 9787121431876. 380 pages. Chinese)
4. Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A Zuluaga, S Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I, Part II, . . . ,Part VII.
5. S Kevin Zhou, Daniel Rueckert, and Gabor Fichtinger (Eds.), Handbook of Medical Image Computing and Computer Assisted Intervention, Academic Press, 2019. (ISBN 9780128161760. MICCAI book series. 1072 pages)
6. S Kevin Zhou, Hayit Greenspan, and Dinggang Shen (Eds.), Deep Learning for Medical Image Analysis, Academic Press, 2017. (ISBN 9780128104088. MICCAI book series. 458 pages)
7. S Kevin Zhou (Ed.), Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches, Academic Press, 2015. (ISBN 9780128025819. MICCAI book series. 542 pages)
8. S Kevin Zhou, Wenyi Zhao, Xiaoou Tang, and Shaogang Gong (Eds.), Analysis and Modeling of Faces and Gestures, Lecture Notes in Computer Sciences 4778, Springer, 2007. (ISBN 9783540756903)
9. S Kevin Zhou, Rama Chellappa, and Wenyi Zhao, Unconstrained Face Recognition, Springer, 2006. (ISBN: 0387264078. 256 pages)
10. R Chellappa, A Roy-Chowdhury, and S Kevin Zhou, Recognition of Humans and Their Activities Using Video, Morgan & Claypool Publishers, 2005. (ISBN: 1598290061. 173 pages)
11. S Kevin Zhou, Unconstrained Face Recognition, Ph.D. Dissertation, University of Maryland, College Park, 2004.
12. S Kevin Zhou, Wavelet-based Texture Retrieval and Modeling Visual Texture Perception, M.S. Dissertation, National University of Singapore, 2000.
近几年内获授权专利(累计授权专利150余项)
1.Grant US11393229, Method and system for artificial intelligence based medical image segmentation. 2022- 07-19. 1/14
2.Grant US11311270, Intervolume lesion detection and image preparation. 2022-04-26. 3/3
3.Grant US11210779, Detection and quantification for traumatic bleeding using dual energy computed to- mography. 2021-12-28. 3/5
4.Grant US11185231, Intelligent multi-scale medical image landmark detection. 2021-09-30. 8/8
5.Grant US11120582, Unified dual-domain network for medical image formation, recovery, and analysis. 2021-09-14. 1/3
6.Grant US11055847, Adversarial and dual inverse deep learning networks for medical image analysis. 2021- 07-06. 1/5
7.Grant US10910099, Segmentation, landmark detection and view classification using multi-task learning. 2021-02-02. 5/5
8.Grant US10878219, Method and system for artificial intelligence based medical image segmentation. 2020- 12-29. 1/14
9.Grant US10779785, Semantic segmentation for cancer detection in digital breast tomosynthesis. 2020-09-22. 10/10
10.Grant US10748277, Tissue characterization based on machine learning in medical imaging. 2020-08-18. 1/8
11.Grant US10627470, System and method for learning based magnetic resonance fingerprinting. 2020-04-21. 4/10
12.Grant US10607342, Atlas-based contouring of organs at risk for radiation therapy. 2020-03-31. 3/12
13.Grant US10600185, Automatic liver segmentation using adversarial image-to-image network. 2020-03-24. 3/6
14.Grant US10582907, Deep learning based bone removal in computed tomography angiography. 2020-03-10. 5/10
15.Grant US10565707, 3D anisotropic hybrid network: transferring convolutional features from 2D images to 3D anisotropic volumes. 2020-02-18. 3/9
