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true 2021-07-25T00:00:00+00:00 Video Virtual Library

2021 AAPM Virtual 63rd Annual Meeting - Session: Artificial Intelligence in Treatment Planning and Delivery

Towards Interpretable Intelligent Automatic Treatment Planning in Radiotherapy: Understanding the Decision-Making Behaviors of a Hierarchical Deep Reinforcement Learning Based Virtual Treatment Planner Network
Chenyang Shen, PhD University of Texas Southwestern Medical Center

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All videos in this session:
Curbing the Errors From Automated Tools Based On An FMEA of An AI-Based Treatment Planning System - Kelly Nealon, MS The University Of Texas MD Anderson Cancer Center
Generalizability Study of a Fluence Map Prediction Network - Lin Ma University of Texas Southwestern Medical Center
Inverse Treatment Planning Using a Virtual Treatment Planner (VTP) for Prostate Cancer Treated with Intensity Modulated Radiation Therapy - Damon Sprouts, MS
Predicting Daily Record of Machine Performance Check Using Multi-Long Short-Term Memory Neural Networks - Min Ma National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Towards Automatic Metastasis-Directed Therapy Planning in a Three-Dimensional Beam Model Using Reinforcement Learning - William Hrinivich, PhD Johns Hopkins University School of Medicine
Treatment Parameters That Impact IROC SRS Phantom Performance Evaluated Using AI - Hunter Mehrens UT MD Anderson Cancer Center
Q & A -
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