2023 AAPM 65th Annual Meeting - Session: Longitudinal Multimodality Imaging of Treatment Response: Data Dimensionality Challenges and Solutions
Tweet #link
This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.
Treatment Response Prediction for Head and Neck Cancer Using Longitudinal Cone-Beam CT Jing Wang, PhD UT Southwestern |
All videos in this session:
Predicting Treatment Response from Longitudinal Images: Challenges and Solutions for Multi-Institutional Collaboration - Haidy Nasief, PhD Department of Radiation Oncology, Medical College of Wisconsin | |
Multiscale, Multimodal, and Multitask Learning of Longitudinal Molecular Imaging for Spatial Response Pattern and Outcome Prediction - Stephen Bowen, PhD University of Washington | |
Deep Learning Approach to Treatment Response Prediction from Longitudinal Images - Yu Gao, Department of Radiation Oncology, Stanford University |