3 papers
cs.CV2025
Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI
Wenhao Guo, Golrokh Mirzaei
Differentiating true tumor progression (TP) from treatment-related pseudoprogression (PsP) in glioblastoma remains challenging, especially at early follow-up. We present the first…
cs.LG2025
MS-ConTab: Multi-Scale Contrastive Learning of Mutation Signatures for Pan Cancer Representation and Stratification
Yifan Dou, Adam Khadre, Ruben C Petreaca +1
Motivation. Understanding the pan-cancer mutational landscape offers critical insights into the molecular mechanisms underlying tumorigenesis. While patient-level machine learning…
cs.LG2025
Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection
Aditya Raj, Golrokh Mirzaei
Imaging and genomic data offer distinct and rich features, and their integration can unveil new insights into the complex landscape of diseases. In this study, we present a novel a…