AAPM VL-Interpretable Machine Intelligence in Multidimensional Omics

2023 AAPM 65th Annual Meeting - Session: Interpretable Machine Intelligence in Multidimensional Omics

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.

Explainable Machine Learning in Treatment Prediction and Optimization
Ying Xiao, PhD Department of Radiation Oncology, University of Pennsylvania

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All videos in this session:

	Importance of Multiomics Integration and Explainable Machine Learning - Fang-Fang Yin, PhD Duke University
	Integration of Robust Radiomics with Clinical Biomarkers - Haidy Nasief, PhD Department of Radiation Oncology, Medical College of Wisconsin
	Biological Interpretation of Radiomics and Integration with Other Omics - Matthew Schabath Moffitt Cancer Center
	Explainable Machine Learning Techniques in Medical Imaging and Multi-Omics - Hui Li, PhD University of Chicago

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2023 AAPM 65th Annual Meeting - Session: Interpretable Machine Intelligence in Multidimensional Omics

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.