Physics-Inspired Deep Learning for Genomics: Transforming High-Dimensional Tabular Data into Spatial Maps for Precision Medicine
High-dimensional genomic and clinical tabular data lack spatial structure, limiting the effectiveness and interpretability of modern deep learning. In medical physics, raw measurements are routinely transformed into structured physical representations (e.g.,...
Poster Program · Diagnostic and Interventional Radiology Physics