Explore cutting-edge research on robust radiomics and radiogenomics predictive models for brain tumor characterization in this comprehensive lecture by Dr. Hassan Mohy-ud-Din. Delve into the stability of radiomics features in multiregional segmentation masks obtained through fully-automatic deep segmentation methods and their impact on downstream prediction tasks. Gain insights into the hypothesis that highly stable and discriminatory radiomics features lead to generalizable radio(geno)mics models. Learn from Dr. Mohy-ud-Din's extensive experience in multimodality imaging and computational pipelines for brain, cardiac, and abdominal imaging. Participate in an interactive discussion and Q&A session following the presentation, as part of the MedAI Group Exchange Sessions at Stanford University.