2 citations · 4 across the 2 of their papers we have counts for
3 papers
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +13
Definitive cancer diagnosis and management depend upon the extraction of information from microscopy images by pathologists. These images contain complex information requiring time…
Adversarial learning of cancer tissue representations
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +4
Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological…
Detecting Community Structures in Hi-C Genomic Data
Irineo Cabreros, Emmanuel Abbe, Aristotelis Tsirigos
Community detection (CD) algorithms are applied to Hi-C data to discover new communities of loci in the 3D conformation of human and mouse DNA. We find that CD has some distinct ad…