Encrypted | Login
false 2023 AAPM 65th Annual Meeting - Uncertainty Quantification and Error Propagation of Artificial Intelligence in Medical Physics Applications - 2023-07-23T00:00:00+00:00 Video Virtual Library

2023 AAPM 65th Annual Meeting - Session: Uncertainty Quantification and Error Propagation of Artificial Intelligence in Medical Physics Applications


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.


Uncertainty in Deep Learning Models for Medical Image Segmentation and Dose Prediction
Chunhao Wang, PhD Duke University


When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below). add this video to a playlist.



All videos in this session:
Neural Differential Equation and Uncertainty Quantification in Medical Image Prediction - Hangjie Ji North Carolina State University
Role of Uncertainty Quantification in Outcome Prediction - Jing Wang, PhD University of Texas Southwest
Beyond Uncertainty Quantification: Next Steps for a Safe Clinical Implementation of AI Models - Ana Barragan Montero University Catholique de Louvain
Graph includes 3 member loads and 182 non-member loads (185 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.