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Workshop Agenda

8:00-8:05 AM Open Ceremony
8:05-8:35 AM Leveraging Deep Learning in Computational Pathology: from Single-modal to Multi-modal Analysis
KEYNOTE - Dr. Lequan Yu, University of Hong Kong
8:35-8:50 AM Follicular Lymphoma Grading Based on 3D-DDcGAN and Bayesian CNN using PET-CT Images
Oral 1 - Chunjun Qian, Changzhou Institute of Technology
8:50-9:05 AM Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
Oral 2 - Hao Chen, University of Cambridge
9:05-9:35 AM Foundation Models for Cancer Image Analysis
KEYNOTE - Dr. Pingkun Yan, Rensselaer Polytechnic Institute
9:35-10:00 AM Poster Session
10:00-10:30 AM Coffee Break
10:30-11:00 AM Computational Pathology Completes the Precision Oncology Jigsaw Puzzle
KEYNOTE - Prof. Nasir Rajpoot, University of Warwick
11:00-11:15 AM A Reference-based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos
Oral 3 - Seyed Amir Mousavi, Ghent University
11:15-11:30 AM Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation
Oral 4 - Lixue Qin, Shenzhen Institute of Advanced Technology, CAS
11:30 AM - 12:00 PM Leveraging Quantitative Imaging for Digital Twins in Oncology
KEYNOTE - Dr. Caroline Chung, The University of Texas MD Anderson Cancer Center
12:00-12:30 PM Panel Discussion (Moderated by Dr. Chao Li)
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