Preliminary Programme
HKU Medical Imaging AI
Summit 2026

Final Programme

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08:30: Registration

09:00–09:10: Introduction / Housekeeping

 

09:10–09:30:

Medical Image Generation: Methods and Applications

Prof. Qian Wang, ShanghaiTech University

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09:30–09:50:

Engineering Reliable Multimodal Medical AI: A Theory-Driven Perspective

Prof. Yujin Oh, Yonsei University

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09:50–10:10:

Advancing Explainability in Deep Learning-based Brain Tumor Segmentation

Prof. Zhenyu Yang, Duke Kunshan University

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10:10–10:30:

Exploring Foundation Models for Medical Imaging AI: A Full-Chain Perspective from Acquisition to Quantification and Clinical Applications

Prof. Shanshan Wang, Shenzhen Institute of Advanced Technology, CAS

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10:30–11:00:

Rapid fire: poster previewing (2 min each)

Poster presenters

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11:00–11:30: Coffee Break (30 min)

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11:30–11:50:

AI in Gastrointestinal Disease Analysis

Prof. Yixuan Yuan, CUHK

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11:50–12:10:

Pixel-Space Agentic AI: Sparse-Guidance Reinforcement Learning from Mobile Robot Navigation to Robot-Assisted Surgery

Prof. Qingbiao Li, University of Macau

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12:10–12:30:

Medical Visual Grounding

Prof. Huazhu Fu, Institute of High Performance Computing (IHPC), A*STAR, Singapore

 

12:30–13:00:

Clinical Applications of Agentic AI in Radiology (Round Table Discussion)

Chair Persons: Prof KT Bae; Prof V Vardhanabhuti, Dr K Chiu

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13:00–14:30: Lunch (1.5 hrs)

 

14:30–14:50:

Evolution of Dental AI - from narrow to multimodal models

Prof Kuo Feng Hung, HKU

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14:50–15:10:

Multi-modal AI for Knowledge-Enhanced Computational Pathology

Prof Lequan Yu, HKU

 

15:10–15:30:

AI in Breast Imaging

Prof. Tao Tan, Macao Polytechnic University (MPU)

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15:30-15:50:

Towards Precise Full-cycle Management of Cardio-Cerebrovascular Diseases via Predictive Reality

Prof. Weixin Si, Shenzhen University of Advanced Technology

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15:50–16:20: Coffee Break

 

16:20–16:40:

Deep Learning for Cardiovascular Ultrafast Ultrasound: From Signal Recovery to Physics-Informed Flow and Motion

Prof. Wei-Ning Lee, HKU

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16:40–17:00:

Detecting Structural Heart Disease from Electrocardiography (ECG): From GPU to Clinic

Prof. Wong Chun Ka, Department of Medicine, HKU

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17:00–17:10:

Leveraging Clinical Data for AI development

Prof. Hoyeon Lee, University of Hong Kong

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17:10–17:40

Panel Discussion (30 min)

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17:40–17:45

Closing Remarks

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