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2021 AAPM Virtual 63rd Annual Meeting - Session: Imaging in Treatment Planning


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 Evaluating the Clinical Acceptability of Deep Learning Contours in Prostate Radiotherapy
Jingwei Duan University of Kentucky
jdu288@uky.edu
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All videos in this session:
A Fully Automated Approach for Labeling, Contouring, and Treatment Planning of Vertebral Bodies, Including Automatic Verification to Prevent Errors - Tucker Netherton, DMP MD Anderson Cancer Center
AI Agent Competing with Human in Planning Challenge: A Human-Expert Level Virtual Treatment Planner Network for Prostate Cancer Stereotactic Body Radiation Therapy (SBRT) - Chenyang Shen, PhD University of Texas Southwestern Medical Center
Managing Tumor Changes During Fractionated Radiotherapy: Evaluation On a Deep-Learning-Based Predictive Model and a Re-Planning Strategy - Ruiqi Li UT Health San Antonio MD Anderson Cancer Center
Mapping Motion-Induced Dose Variations On Bladder Surfaces: A Novel Surface-Based Dose Modeling for Accurate Dose Assessment in Fractionated Prostate Cancer Radiotherapy - Yi Lao University of California, Los Angeles
Towards Daily Online Adaptive SBRT for Pancreatic Cancer: Dosimetric Analysis of Daily Adaptive Re-Planning Using Re-Optimization and Dose Escalation Techniques - Joshua Niedzielski, PhD UT MD Anderson Cancer Center
Online Adaptive Radiotherapy: Assessment of Planning Technique and On-Table Adaptive Plan Quality - Kathryn Mittauer, PhD Miami Cancer Institute, Baptist Health South Florida
Q & A -
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