Learning Representations for Biomedical 3D Imaging and Tabular Data

Explore advanced machine learning techniques for analyzing biomedical data through this 39-minute conference talk from the Computational Genomics Summer Institute 2025. Discover how to develop and apply representation learning methods specifically designed for 3D medical imaging data and tabular biomedical datasets. Learn about the unique challenges and opportunities in processing complex biomedical data structures, including the computational and methodological considerations for handling high-dimensional imaging data alongside structured tabular information. Gain insights into cutting-edge approaches that bridge computer vision and traditional machine learning to extract meaningful patterns from diverse biomedical data types, with practical applications in genomics and medical imaging research.