翟志伟（zhaizhiwei@genomics.cn），荷兰莱顿大学计算机科学与技术博士，省级重点人才，中国科学院大学博士生导师，副高级。专长为人工智能、图像处理、数据分析等技术的研发和应用，研究方向基于深度学习的生物医学图像处理与分析。曾在海外学习工作9年，参与多项院校级、国家级、国际级科技研发项目，其中参与的‘基于深度学习的医学图像处理’项目经费高达1.5亿人民币，累计发表20篇国际期刊和会议论文，已受理专利一项。曾获3551光谷优秀青年，湖北省重点人才。
研究方向：基于深度学习的生物医学图像处理，其中包括基于先进AI技术的显微图像超分辨，组织结构分割、配准、以及分析。
现任岗位：华大研究院 华中分院 智能所 仪器开发高级工程师
教育背景：荷兰莱顿大学 计算机科学与技术 博士
参与项目：
1.《基于CT图像的肺部血管分析》，主要研究者和第一责任人，国际级，2014.9-2018.9
2.课题《基于深度学习的肺部动脉和静脉分割》，主要研究者，校级，2018.9-2020.9
3.课题《基于深度学习的医学图像处理》，参与，国家级，2020.9-2022.9
4.课题《数字化病理AI分析工具研发》，参与，企业级，2022.9-2023.10
5.课题《超分辨光学系统研发》，参与，企业级，2023.10-2024.9
论文:
1.Zhai, Zhiwei, Gudula JAM Boon, Marius Staring, Lisette F. van Dam, Lucia JM Kroft, Irene Hernández Girón, Maarten K. Ninaber et al. "Automated quantification of the pulmonary vasculature in pulmonary embolism and chronic thromboembolic pulmonary hypertension." Pulmonary Circulation 13, no. 2 (2023): e12223.
2.Zhai, Zhiwei, Marius Staring, Hideki Ota, and Berend C. Stoel. "Pulmonary vessel tree matching for quantifying changes in vascular morphology." In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 517-524. Cham: Springer International Publishing, 2018.
3.Zhai, Zhiwei, Marius Staring, Irene Hernández Girón, Wouter JH Veldkamp, Lucia J. Kroft, Maarten K. Ninaber, and Berend C. Stoel. "Automatic quantitative analysis of pulmonary vascular morphology in CT images." Medical physics 46, no. 9 (2019): 3985-3997.
4.Zhai, Zhiwei, Marius Staring, Maarten K. Ninaber, Jeska K. de Vries-Bouwstra, Anne A. Schouffoer, Lucia J. Kroft, Jan Stolk, and Berend C. Stoel. "Pulmonary vascular morphology associated with gas exchange in systemic sclerosis without lung fibrosis." Journal of thoracic imaging 34, no. 6 (2019): 373-379.
5.Zhai, Zhiwei, Hideki Ota, Marius Staring, Jan Stolk, Koichiro Sugimura, Kei Takase, and Berend C. Stoel. "Treatment effect of balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension quantified by automatic comparative imaging in computed tomography pulmonary angiography." Investigative radiology 53, no. 5 (2018): 286-292.
6.Zhai, Zhiwei, Marius Staring, Xuhui Zhou, Qiuxia Xie, Xiaojuan Xiao, M. Els Bakker, Lucia J. Kroft et al. "Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation." In Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings 1, pp. 36-43. Springer International Publishing, 2019.
7.Zhai, Zhiwei, Marius Staring, and Berend C. Stoel. "Lung vessel segmentation in CT images using graph-cuts." In Medical Imaging 2016: Image Processing, vol. 9784, pp. 699-706. SPIE, 2016.
8.Li, Junfeng, Zhiwei Zhai, Hao Zhang, Zeyu Su, Yang Liu, Hongmin Chen, Yuxiang Li, and Mengzhe Shen. "Deep learning enables the use of ultra-high-density array in DNBSEQ." Scientific Reports 14, no. 1 (2024): 27847.
9.Jia, Jingnan, Zhiwei Zhai, M. Els Bakker, Irene Hernández-Girón, Marius Staring, and Berend C. Stoel. "Multi-task semi-supervised learning for pulmonary lobe segmentation." In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 1329-1332. IEEE, 2021.
10.Bayer, Siming, Zhiwei Zhai, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Marius Staring, Berend Stoel et al. "Registration of vascular structures using a hybrid mixture model." International journal of computer assisted radiology and surgery 14 (2019): 1507-1516.
