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2021 AAPM Virtual 63rd Annual Meeting - Session: Outcome modeling and assessment


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MRI-Based Multi-Region Delta-Radiomics for Prediction of Recurrence After Chemoradiotherapy in Locally Advanced Cervical Cancer
Masashi Kawamura
m204645@hiroshima-u.ac.jp


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All videos in this session:
Compact Neural Network to Predict Radiation-Induced Lymphocyte Depletion - Yejin Kim KAIST
From Person-Specific to Population-Based Colorectal Models: An Age-Scalable Computational Anatomical Colorectal Model for Radiation Dosimetry in Late Effects Studies of Childhood Cancer Survivors - Constance Owens University of Texas MD Anderson Cancer Center
Predicting Osteoradionecrosis From Head and Neck Radiotherapy Using a Residual convolutional Neural Network - Brandon Reber University of Texas-MD Anderson Cancer Center
Relationship Between Coronary Artery Radiation Doses and Risk of Late Coronary Artery Disease: A Report From the Childhood Cancer Survivor Study (CCSS) - Suman Shrestha, MS University of Texas MD Anderson Cancer Center
Seed Spots Analysis to Characterize Linear-Energy-Transfer (LET) Effect in the Adverse Event Regions of Head and Neck Cancer Patients Treated by Intensity-Modulated Proton Therapy (IMPT) - Yunze Yang Mayo Clinic Arizona
Survival Prediction Models for Patients with Malignant Pleural Mesothelioma After Adjuvant Radiotherapy - Zitian Wang UCLA School of Medicine
Q & A -
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