Encrypted | Login

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


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.


Learn From What You Drew - a Deep Learning Assisted Fast Semi-Automatic Segmentation for Complex Anatomy On MRI
Ying Zhang Medical College of Wisconsin
yingzhang@mcw.edu


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
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
Q & A -
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.