2023 AAPM 65th Annual Meeting - Session: Interpretable Machine Intelligence in Multidimensional Omics
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Integration of Robust Radiomics with Clinical Biomarkers Haidy Nasief, PhD Department of Radiation Oncology, Medical College of Wisconsin |
All videos in this session:
Importance of Multiomics Integration and Explainable Machine Learning - Fang-Fang Yin, PhD Duke University | |
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 | |
Explainable Machine Learning in Treatment Prediction and Optimization - Ying Xiao, PhD Department of Radiation Oncology, University of Pennsylvania |





















Importance of Multiomics Integration and Explainable Machine Learning
Biological Interpretation of Radiomics and Integration with Other Omics
Explainable Machine Learning Techniques in Medical Imaging and Multi-Omics
Explainable Machine Learning in Treatment Prediction and Optimization