Prof. Renchao Jin, Huazhong University of Science and Technology, China

He is a professor and doctoral supervisor at the Medical Image Information Research Center of the Institute of Digital Media, School of Computer Science and Technology, Huazhong University of Science and Technology. Currently, he mainly researches on deep learning, medical image processing and analysis algorithms, and medical device software development.

Main academic contributions: (1) Invented a fast algorithm for solving the famous NP-hard SAT problem based on the idea of quasi-physical and quasi-sociological, and won the gold medal in the 1996 International SAT Problem Solving Competition; (2) Invented a three-dimensional CT Liver segmentation algorithm based on the level set active contour model and a Couinaud segmentation algorithm, provided intelligent solutions for liver surgery planning. Relevant software developed in cooperation with medical equipment enterprises has been integrated into the supporting software system of their CT machine products; (3) Invented a series of computer-assisted medical diagnosis and treatment algorithms, involving radiotherapy planning, 3D CT/MRI image segmentation, registration and keypoint localization algorithms based on deep learning, etc..

现为华中科技大学计算机科学与技术学院数字媒体研究所医学图像信息研究中心教授，博士生导师。目前主要研究深度学习，医学图像处理与分析算法以及医疗器械软件开发。主要学术贡献：（1）基于拟物拟人思想发明了求解著名NP难问题SAT问题的快速算法，获得1996国际SAT问题求解大赛的金奖；（2）基于水平集活动轮廓模型发明了一种三维CT肝分割算法以及Couinaud分段算法，为肝手术规划提供了智能解决方案，相关软件已集成到与医疗设备企业合作开发的CT机配套软件系统中；（3）发明了一系列计算机医学辅助诊断和治疗算法，涉及放疗规划、基于深度学习的三维CT/MRI图像分割、配准与关键点定位算法等。