研究员，博士生导师，中科院特聘研究员“骨干人才”，中科院青年创新促进会会员，江苏省333高层次人才。

任中国医师协会介入医师分会、江苏省生物医学工程学会、江苏省研究型医院学会委员，国家重点研发计划项目评审专家、国家自然科学基金项目评审专家。

主要从事基于医学图像计算的智能诊断和治疗决策技术、面向先进治疗的手术计划导航技术和影像引导的一体化诊疗系统研发。

承担国家自然科学基金、国家重点研发项目子课题、江苏省重点研发计划项目等各类科研项目20余项。发表论文60余篇，申请发明专利41项，已授权16项。

1.        中科院特聘研究员“骨干人才”（2023）

2.        江苏省“333高层次人才培养工程”第三层次（2022）

3.        中科院青年创新促进会会员（2020）

4.        北京市科学技术进步奖一等奖（2020）

5.        江苏省科学技术奖三等奖（2021）

6.        江苏省优秀版权奖三等奖（2019）

7.        苏州优秀版权奖一等奖（2017）

1.        基于医学图像计算的智能诊断和治疗决策：结合多模态影像、基因数据、生化和临床等临床大数据，通过影像处理、数据挖掘等技术，开展疾病智能辅助诊断和个性化治疗辅助决策技术研究

2.        面向先进治疗的手术计划导航技术：融合多模态多时相影像，分析组织器官的结构、功能、生物化学和生物物理学信息，结合医疗机器人，开展先进治疗技术下的手术计划导航技术研究

3.        影像引导的一体化诊疗系统研发：融合术前、术中和术后等诊疗各环节的多模异构信息，研制基于医学影像的智能辅助诊疗系统

1.        Zhiyong Zhou#, Shuaikun Wang, Jisu Hu, Anqi Liu, Xusheng Qian, Chen Geng, Jian Zheng, Guangqiang Chen, Jiansong Ji, and Yakang Dai. Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance. Computerized Medical Imaging and Graphics, 2023, 108

2.        Zhiyong Zhou#, Ben Hong, Xusheng Qian, Jisu Hu, Minglei Shen, Jiansong Ji, Yakang Dai. macJNet: Weakly-supervised Multimodal Image Deformable Registration using Joint Learning Framework and Multi-sampling Cascaded MIND. BioMedical Engineering OnLine, 2023, 22 (91)

3.        Zhiyong Zhou#, Xusheng Qian, Jisu Hu, Guangqiang Chen, Caiyuan Zhang, Jianbing Zhu* Yakang Dai. An artificial intelligence Assisted dIagnosis Modeling Software (AIMS) platform based on medical images and machine learning: a development and validation study. Quantitative Imaging in Medicine and Surgery, 2023

4.        Shungen Huang, Zhiyong Zhou#, Xusheng Qian, Dashuang Li, Wanliang Guo, Shungen Huang. Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry. European Journal of Medical Research, 27, Article number: 305, 2022

5.        Zhiyong Zhou#, Xusheng Qian, Jisu Hu, Xinwei Ma, Shoujun Zhou, Yakng Dai, Jianbing Zhu. CT-based Peritumoral Radiomics Signatures for Malignancy Grading of Clear Cell Renal Cell Carcinoma, Abdominal Radiology, 2021, 46: 2690–2698.

6.        Zhiyong Zhou#, Jian Zhen, Yakang Dai*, Zhe Zhou, Shi Chen. Robust Non-rigid Point Set Registration Using Student’s-t Mixture Model. PLoS ONE, 2014, 9 (3).

7.        Qing Zhou, Zhiyong Zhou, Chunmiao Chen; Guangqiang Chen, Haiyan Heng, Jiansong Ji, Yakang Dai. Grading of Hepatocellular Carcinoma Using 3D SE-DenseNet in Dynamic Enhanced MR Images. Computers in Biology and Medicine, 2019, 107: 47-57.

8.        Zhiyong Zhou#, Jianfei Tu, Chen Geng, Jisu Hu, Baotong Tong, Jiansong Ji*, Yakang Dai*. Accurate and Robust Non-rigid Point Set Registration using Student’s-t Mixture Model with Prior Probability Modeling, Scientific Reports, 2018, 7.

9.        Xusheng Qian, Zhiyong Zhou#, Jisu Hu, Jianbing Zhu, He Huang*, Yakang Dai*. A comparative study of kernel-based vector machines with probabilistic outputs for medical diagnosis. Biocybernetics and Biomedical Engineering, 2021, 41: 1486-1504.

10.    Zhiyong Zhou#, Baotong Tong, Chen Geng, Jisu Hu, Jian Zheng, Yakang Dai. Direct point-based registration for precise non-rigid surface matching using Student’s-t mixture model. Biomedical Signal Processing and Control, 2017, 33：10-18.