AAPM VL-Integrating Radiomics and Genomics for Personalized Cancer Therapy in the Era of AI and Big Data

2019 AAPM Annual Meeting - Session: Integrating Radiomics and Genomics for Personalized Cancer Therapy in the Era of AI and Big Data

Integrating Imaging and Molecular Biomarkers for Personalized Cancer Therapy
Ruijiang Li, PhD Stanford University

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	Multifaceted Radiomics Models for Treatment Outcome Prediction - Jing Wang, PhD UT Southwestern Medical Center
	Genetic Risk Modeling Using Machine Learning to Predict Radiotherapy Complications and Identify Key Biological Correlates - Jung Hun Oh, Memorial Sloan-Kettering Cancer Center

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2019 AAPM Annual Meeting - Session: Integrating Radiomics and Genomics for Personalized Cancer Therapy in the Era of AI and Big Data