AAPM VL-Deep learning in Treatment Planning

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

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.

How Fluence-Prediction Error Impact Final Plan Quality: Insights Into a Deep-Learning-Based (DL-Based) Head-And-Neck (H&N) IMRT Planning AI Agent
Xinyi Li Duke University Medical Center
xinyi.li024@duke.edu

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All videos in this session:

	3D DenseNet for Improving Dose Prediction of Volumetric Modulated Arc Therapy in Prostate Cancer - Jie Fu, MS UCLA Radiation Oncology
	A Deep Learning-Based Framework for Dose Prediction of Pancreatic Stereotactic Body Radiation Therapy - Shadab Momin Emory University
	Attention-Gated U-Net Implementation in Total Marrow Irradiation Plan Dose Prediction - Dongsu Du, PhD City of Hope Comprehensive Cancer Center
	Transfer Learning for Fluence Map Prediction in Adrenal Stereotactic Body Radiation Therapy - Wentao Wang Duke University
	Feasibility Study of Cross-Modality IMRT Auto-Planning Guided by a Deep Learning Model - Gregory Szalkowski UNC Health Care
	A Deep-Learning-Enabled Remote Teaching Platform for Pancreas SBRT Treatment Planning: A Pilot Study in Pandemic Era - Yibo Xie Duke University Medical Center
	Q & A -

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AAPM Virtual Library

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

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.