3 papers
cs.LG2025
Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles
Lucas Robinet, Ahmad Berjaoui, Elizabeth Cohen-Jonathan Moyal
Self-supervised learning (SSL) has driven major advances in computational pathology by enabling the learning of rich representations from histopathology data. Yet, tissue analysis…
cs.CV2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
Lucas Robinet, Ahmad Berjaoui, Elizabeth Cohen-Jonathan Moyal
Multimodal magnetic resonance imaging (MRI) constitutes the first line of investigation for clinicians in the care of brain tumors, providing crucial insights for surgery planning,…
q-bio.QM2025
Uncovering the Genetic Basis of Glioblastoma Heterogeneity through Multimodal Analysis of Whole Slide Images and RNA Sequencing Data
Ahmad Berjaoui, Louis Roussel, Eduardo Hugo Sanchez +1
Glioblastoma is a highly aggressive form of brain cancer characterized by rapid progression and poor prognosis. Despite advances in treatment, the underlying genetic mechanisms dri…