Seminar: Multi-modal Learning for Biomedical Image Analysis and Visualisation
We are pleased to have invited Professor Jinman Kim to speak at the upcoming
In the seminar “Multi-modal Learning for Biomedical Image Analysis and Visualisation” jointly organised by the Laboratory of Data Discovery for Health (D24H) and the School of Biomedical Sciences at The University of Hong Kong (HKU), Professor Jinman Kim shared valuable insights into the pivotal role of medical imaging in patient management within modern healthcare. He discussed how advanced technologies can visualise anatomy detailedly and function across virtually every organ system. Professor Kim also shared his research work on cross-modal learning to integrate imaging and complementary data for disease modelling, analysis and visualization.
Professor Kim is a Professor of Computer Science at the University of Sydney. His research is on the application of machine learning to biomedical image analysis and visualization. His focus is on cross-model and multi-modal learning, which includes biomedical visual-language representations, image-omics, multi-modal data processing, and biomedical mixed reality technologies. He established and leads the Biomedical Data Analysis and Visualisation (BDAV) Lab at the School of Computer Science. He has produced a number of publications in this field and received multiple competitive grants and scientific recognitions. He is currently a visiting professor at the Centre for Informatics at the University of Geneva, Switzerland.
The seminar was moderated by Professor Joshua Ho, Lead Scientist of the D24H and Associate Professor of the HKU School of Biomedical Sciences.
Seminar Details
Date: September 9, 2024 (Monday)
Time: 2:30 p.m. – 3:30 p.m. (HK Time)
