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2021 AAPM Virtual 63rd Annual Meeting - Session: AI Applications in Image Guided Adaptive Radiation Therapy Q & A


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Q & A




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All videos in this session:
Few Shot Meta Learner for Post-Operative Prostate CTV Style Adaptation - Anjali Balagopal UT Southwestern Medical Center
Multi-Year Clinical Experience with In-House Developed AI Auto-Segmentation for Radiotherapy Planning - Sharif Elguindi Memorial Sloan Kettering Cancer Center
Physician Evaluation of Deep Learning-Based Dose Predictions for Head and Neck Radiotherapy - Mary Gronberg UT MD Anderson Cancer Center
Scale-Adaptive Convolutional Neural Network for Deformable Image Registration of Lung 4DCT - Yudi Sang UCLA
Small Convolutional Neural Networks for Efficient 3D Medical Image Segmentation - Evan Gates, MS University Of Texas MD Anderson Cancer Center
CBCT-Based Prostate and Organs-At-Risk Segmentation Using Deep Attention Network - Yabo Fu
Automatic CT-Only Multi-Organ Segmentation for CT-On-Rails-Based Prostate Adaptive Radiotherapy - Yingzi Liu Emory University
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