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Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients Schmauch, Benoit; Cabeli, Vincent; Domingues, Omar Darwiche; Le Douget, Jean-Eudes; Hardy, Alexandra; Belbahri, Reda; Maussion, Charles; Romagnoni, Alberto; Fuchs, Florian; Swalduz, Aurelie; Lantuejoul, Sylvie; Crochet, Hugo; Chringhelli, Francois; Derangere, Valentin; Truntzer, Caroline; Pass, Harvey; Moreira, Andre L.; Chiriboga, Luis; Zheng, Yuanning; Ozawa, Michael; Howitt, Brooke E.; Gevaert, Olivier; Girard, Nicolas; Rexhepaj, Elton; Valtingojer, Iris; Debussche, Laurent; de Rinaldis, Emanuele; Nestle, Frank; Spanakis, Emmanuel; Fantin, Valeria R.; Durand, Eric Y.; Classe, Marion; Von Loga, Katharina; Pronier, Elodie; Cesaroni, Matteo Share Save
Deep learning uncovers morphological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients Schmauch, Benoit; Cabeli, Vincent; Darwiche-Domingues, Omar; Le Douget, Jean-Eudes; Hardy, Alexandra; Belbahri, Reda; Maussion, Charles; Romagnoni, Alberto; Eckstein, Markus; Fuchs, Florian; Swalduz, Aurelie; Lantuejoul, Sylvie; Crochet, Hugo; Ghiringhelli, Francois; Derangere, Valentin; Truntzer, Caroline; Pass, Harvey; Moreira, Andre; Chiriboga, Luis; Zheng, Yuanning; Ozawa, Michael; Howitt, Brooke; Gevaert, Olivier; Girard, Nicolas; Rexhepaj, Elton; Valtingojer, Iris; Debussche, Laurent; Durand, Eric; Classe, Marion; Von Loga, Katharina; Pronier, Elodie; Cesaroni, Matteo Share Save
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Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor Fu, Yu; Karanian, Marie; Perret, Raul; Camara, Axel; Le Loarer, Francois; Jean-Denis, Myriam; Hostein, Isabelle; Michot, Audrey; Ducimetiere, Francoise; Giraud, Antoine; Courreges, Jean-Baptiste; Courtet, Kevin; Laizet, Yech'an; Bendjebbar, Etienne; Du Terrail, Jean Ogier; Schmauch, Benoit; Maussion, Charles; Blay, Jean-Yves; Italiano, Antoine; Coindre, Jean-Michel Share Save
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma Saillard, Charlie; Delecourt, Flore; Schmauch, Benoit; Moindrot, Olivier; Svrcek, Magali; Bardier-Dupas, Armelle; Emile, Jean Francois; Ayadi, Mira; Rebours, Vinciane; de Mestier, Louis; Hammel, Pascal; Neuzillet, Cindy; Bachet, Jean Baptiste; Iovanna, Juan; Dusetti, Nelson; Blum, Yuna; Richard, Magali; Kermezli, Yasmina; Paradis, Valerie; Zaslavskiy, Mikhail; Courtiol, Pierre; Kamoun, Aurelie; Nicolle, Remy; Cros, Jerome Share Save
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer du Terrail, Jean Ogier; Leopold, Armand; Joly, Clement; Beguier, Constance; Andreux, Mathieu; Maussion, Charles; Schmauch, Benoit; Tramel, Eric W.; Bendjebbar, Etienne; Zaslavskiy, Mikhail; Wainrib, Gilles; Milder, Maud; Gervasoni, Julie; Guerin, Julien; Durand, Thierry; Livartowski, Alain; Moutet, Kelvin; Gautier, Clement; Djafar, Inal; Moisson, Anne-Laure; Marini, Camille; Galtier, Mathieu; Balazard, Felix; Dubois, Remy; Moreira, Jeverson; Simon, Antoine; Drubay, Damien; Lacroix-Triki, Magali; Franchet, Camille; Bataillon, Guillaume; Heudel, Pierre-Etienne Share Save
An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data Schutte, Kathryn; Brulport, Fabien; Harguem-Zayani, Sana; Schiratti, Jean-Baptiste; Ghermi, Ridouane; Jehanno, Paul; Jaeger, Alexandre; Alamri, Talal; Naccache, Raphael; Haddag-Miliani, Leila; Orsi, Teresa; Lamarque, Jean-Philippe; Hoferer, Isaline; Lawrance, Littisha; Benatsou, Baya; Bousaid, Imad; Azoulay, Mikael; Verdon, Antoine; Bidault, Francois; Balleyguier, Corinne; Aubert, Victor; Bendjebbar, Etienne; Maussion, Charles; Loiseau, Nicolas; Schmauch, Benoit; Sefta, Meriem; Wainrib, Gilles; Clozel, Thomas; Ammari, Samy; Lassau, Nathalie Share Save
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Prediction of distant relapse in patients with invasive breast cancer from deep learning models applied to digital pathology slides Garberis, I. J.; Saillard, C.; Drubay, D.; Schmauch, B.; Aubert, V.; Jaeger, A.; Sapateiro, M.; de lavergne, A.; Kamoun, A.; Courtiol, P.; Andre, F.; Lacroix-Triki, M. Share Save
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Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides Saillard, Charlie; Schmauch, Benoit; Laifa, Oumeima; Moarii, Matahi; Toldo, Sylvain; Zaslavskiy, Mikhail; Pronier, Elodie; Laurent, Alexis; Amaddeo, Giuliana; Regnault, Helene; Sommacale, Daniele; Ziol, Marianne; Pawlotsky, Jean-Michel; Mule, Sebastien; Luciani, Alain; Wainrib, Gilles; Clozel, Thomas; Courtiol, Pierre; Calderaro, Julien Share Save
HE2RNA: A deep learning model for transcriptomic learning from digital pathology Pronier, Elodie; Schmauch, Benoit; Romagnoni, Alberto; Saillard, Charlie; Maille, Pascale; Calderaro, Julien; Sefta, Meriem; Toldo, Sylvain; Zaslavskiy, Mikhail; Clozel, Thomas; Moarii, Matahi; Courtiol, Pierre; Wainrib, Gilles Share Save
A deep learning model to predict RNA-Seq expression of tumours from whole slide images Schmauch, Benoit; Romagnoni, Alberto; Pronier, Elodie; Saillard, Charlie; Maille, Pascale; Calderaro, Julien; Kamoun, Aurelie; Sefta, Meriem; Toldo, Sylvain; Zaslavskiy, Mikhail; Clozel, Thomas; Moarii, Matahi; Courtiol, Pierre; Wainrib, Gilles Share Save
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