A deep learning model to predict RNA-Seq expression of tumours from whole slide imagesBenoît Schmauch, Gilles Wainrib, Alberto Romagnoni et al.|Nature Communications|2020Cited by 524
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological SlidesCharlie Saillard, Julien Caldéraro, Jean–Michel Pawlotsky et al.|Hepatology|2020Cited by 309
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinomaCharlie Saillard, Jérôme Cros, F. Delecourt et al.|Nature Communications|2023Cited by 64
Predicting survival after hepatocellular carcinoma resection using deep-learning on histological slidesCharlie Saillard, Julien Caldéraro, Benoît Schmauch et al.|Journal of Hepatology|2020Cited by 25
Transcriptomic learning for digital pathologyBenoît Schmauch, Gilles Wainrib, Alberto Romagnoni et al.|bioRxiv (Cold Spring Harbor Laboratory)|2019Cited by 12