2021 AAPM Virtual 63rd Annual Meeting - Session: AI Applications in Image Guided Adaptive Radiation Therapy
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Small Convolutional Neural Networks for Efficient 3D Medical Image Segmentation Evan Gates, MS University Of Texas MD Anderson Cancer Center |
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 | |
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 | |
Q & A - |





















Few Shot Meta Learner for Post-Operative Prostate CTV Style Adaptation
Multi-Year Clinical Experience with In-House Developed AI Auto-Segmentation for Radiotherapy Planning
Physician Evaluation of Deep Learning-Based Dose Predictions for Head and Neck Radiotherapy
Scale-Adaptive Convolutional Neural Network for Deformable Image Registration of Lung 4DCT
CBCT-Based Prostate and Organs-At-Risk Segmentation Using Deep Attention Network
Automatic CT-Only Multi-Organ Segmentation for CT-On-Rails-Based Prostate Adaptive Radiotherapy
Q & A