Encrypted | Login

2021 AAPM Virtual 63rd Annual Meeting - Session: Autosegmentation and Image Analysis in MRI-guided Radiation Therapy Q & A


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.


Q & A




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:
Auto-Correction of Inaccurate Auto-Segmentation for MRI-Guided Adaptive Radiotherapy - Jie Ding Medical College of Wisconsin
Multi-Parametric Ultra-Quality 4D-MRI Synthesis Using VoxelMorph-Based Deformable Image Registration - Haonan Xiao The Hong Kong Polytechnic University
Radial MR Fingerprinting for Accelerated High Resolution Quantitative Prostate MRI in Radiation Therapy - Victoria Yu, MS Memorial Sloan Kettering Cancer Center
Synthetic Magnetic Resonance Imaging From Computed Tomography Simulation Scans Using Deep-Learning Models for High-Dose-Rate Prostate Brachytherapy - Hyejoo Kang Loyola University Medical Center
Synthetic MRI-Aided Delineation of Organs at Risk in Head-And-Neck Radiotherapy - Xianjin Dai Emory University
Learn From What You Drew - a Deep Learning Assisted Fast Semi-Automatic Segmentation for Complex Anatomy On MRI - Ying Zhang Medical College of Wisconsin
A Prior Knowledge Guided Deep Learning Model for GTV Auto-Segmentation On 4DMRI in MR-Guided Adaptive Radiotherapy of Pancreatic Cancer - Ying Zhang Medical College of Wisconsin
Graph includes member loads and non-member loads (0 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.