Topic: Some AI Technologies for Medical Image Analysis

Lecturer: Prof. Cai Xiaohao, University of Southampton

Time: Monday, October 26, 2026,17:00, UTC+8

Zoom Meeting ID: 174-923-119

Biography: Cai Xiaohao is an Assistant Professor in the School of Electronics and Computer Science at the University of Southampton. He received his PhD degree in mathematics from The Chinese University of Hong Kong in 2012. He afterwards was a Postdoctoral Researcher at the Department of Mathematics of the Technische Universität Kaiserslautern in Germany. After that he was a Research Fellow (Wellcome Trust and Isaac Newton Trust) affiliated with the Department of Plant Sciences and Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Thenceforth, before joining Southampton, he was a Research Fellow in the Mullard Space Science Laboratory (MSSL) at University College London (UCL). He has broad multi-disciplinary research interests in applied mathematics, statistics, and computer science, with main focus and applications in image/signal/data processing, optimisation, machine learning and computer vision. He is Fellow of Advance HE in the UK. He has served as a peer reviewer of over 70 international journals and has published over 80 peer reviewed papers in journals and conferences such as SIAM and IEEE transactions. His recent work in AI for donkey identification has been featured by world-leading media like BBC and ITV.

Abstract: Medical image analysis is an important research field in both academia and industry. Machine/deep learning technologies have revolutionised this field. In this presentation, I will introduce some of our recent work in medical image analysis using machine/deep learning technologies on for example detection, segmentation, classification, and reconstruction.

Rewritten by: Li Huihui

Edited by: Yu Bingjie

Source: School of Mathematics and Statistics