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





















Integration of Robust Radiomics with Clinical Biomarkers
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