2021 AAPM Virtual 63rd Annual Meeting - Session: Deep learning in Treatment Planning
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Feasibility Study of Cross-Modality IMRT Auto-Planning Guided by a Deep Learning Model Gregory Szalkowski UNC Health Care |
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 | |
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 | |
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 - |