6 citations · 6 across the 4 of their papers we have counts for
4 papers
HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes
Pierre-Antoine Bannier
We present HistoAtlas, a pan-cancer computational atlas that extracts 38 interpretable histomic features from 6,745 diagnostic H&E slides across 21 TCGA cancer types and systematic…
IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images
Thalyssa Baiocco-Rodrigues, Antoine Olivier, Reda Belbahri +7
As the therapeutic target for Inflammatory Bowel Disease (IBD) shifts toward histologic remission, the accurate assessment of microscopic inflammation has become increasingly centr…
Beyond L1: Faster and Better Sparse Models with skglm
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier +2
We propose a new fast algorithm to estimate any sparse generalized linear model with convex or non-convex separable penalties. Our algorithm is able to solve problems with millions…
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions
Kenneth Johnson, Samaneh Madanian, Roopak Sinha
We propose a tool-supported framework to reason about requirements constraining resource distributions and devise strategies for routing essential services in a disaster-affected r…