LATEST PUBLICATIONS EUROPEAN HEALTH JOURNAL – DIGITAL HEALTH Can machine learning bring cardiovascular risk assessment to the next level? ADRIEN ROUSSET, DAVID DELLAMONICA, ROMUALD MENUET, ARMANDO LIRA PINEDA, LEA RICCI, MARC S SABATINE, ROBERT P GIUGLIANO, PAUL TRICHELAIR, MIKHAIL ZASLAVSKIY 15 November 2021 VIEW ABSTRACT ESMO CONGRESS 2021 Prediction of distant relapse in patients with invasive breast cancer from deep learning models applied to digital pathology slides I.J.GARBERIS, C.SAILLARD, D.DRUBAY, B.SCHMAUCH, V.AUBERT, A.JAEGER, M.SAPATEIRO, A.DE LAVERGNE, A.KAMOUN, P.COURTIOL, F.ANDRÉ, M.LACROIX-TRIKI 21 September 2021 VIEW ABSTRACT MEDRXIV Collaborative Federated Learning behind Hospitals’ Firewalls for Predicting Histological Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer JEAN OGIER DU TERRAIL, ARMAND LÉOPOLD, CLÉMENT JOLY, CONSTANCE BEGUIER, VIEW ORCID PROFILEMATHIEU ANDREUX, CHARLES MAUSSION, BENOÎT SCHMAUCH, VIEW ORCID PROFILEERIC W. TRAMEL, ETIENNE BENDJEBBAR, MIKHAIL ZASLAVSKIY, GILLES WAINRIB, MAUD MILDER, JULIE GERVASONI, JULIEN GUÉRIN, THIERRY DURAND, ALAIN LIVARTOWSKI, KELVIN MOUTET, CLÉMENT GAUTIER, INAL DJAFAR, ANNE-LAURE MOISSON, CAMILLE MARINI, MATHIEU GALTIER, GUILLAUME BATAILLON, PIERRE-ETIENNE HEUDEL 27 October 2021 VIEW ABSTRACT ARTHRITIS RESEARCH & THERAPY A deep learning method for predicting knee osteoarthritis radiographic progression from MRI JEAN-BAPTISTE SCHIRATTI, RÉMY DUBOIS, PAUL HERENT, DAVID CAHANÉ, JOCELYN DACHARY, THOMAS CLOZEL, GILLES WAINRIB, FLORENCE KEIME-GUIBERT, AGNES LALANDE, MARIA PUEYO, ROMAIN GUILLIER, CHRISTINE GABARROCA, PHILIPPE MOINGEON 18 October 2021 VIEW ABSTRACT MICCAI 2021 COMPAY WORKSHOP Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers CHARLIE SAILLARD, OLIVIER DEHAENE, TANGUY MARCHAND, OLIVIER MOINDROT, AURÉLIE KAMOUN, BENOIT SCHMAUCH, SIMON JEGOU 13 September 2021 VIEW ABSTRACT 2021 ASCO ANNUAL MEETING Identification of pancreatic adenocarcinoma molecular subtypes on histology slides using deep learning models CHARLIE SAILLARD, FLORE DELECOURT, BENOIT SCHMAUCH, OLIVIER MOINDROT, MAGALI SVRCEK, ARMELLE BARDIER-DUPAS, JEAN FRANCOIS EMILE, MIRA AYADI, LOUIS DE MESTIER, PASCAL HAMMEL, CINDY NEUZILLET, JEAN-BAPTISTE BACHET, JUAN IOVANNA, DUSETTI J NELSON, VALERIE PARADIS, MIKHAIL ZASLAVSKIY, AURELIE KAMOUN, PIERRE COURTIOL, REMY NICOLLE, JEROME CROS 07 June 2021 VIEW ABSTRACT NATURE COMMUNICATIONS Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients NATHALIE LASSAU, SAMY AMMARI, EMILIE CHOUZENOUX, HUGO GORTAIS, PAUL HERENT, MATTHIEU DEVILDER, SAMER SOLIMAN, OLIVIER MEYRIGNAC, MARIE-PAULINE TALABARD, JEAN-PHILIPPE LAMARQUE, REMY DUBOIS, NICOLAS LOISEAU, PAUL TRICHELAIR, ETIENNE BENDJEBBAR, GABRIEL GARCIA, CORINNE BALLEYGUIER, MANSOURIA MERAD, ANNABELLE STOCLIN, SIMON JEGOU, FRANCK GRISCELLI, NICOLAS TETELBOUM, YINGPING LI, SAGAR VERMA, MATTHIEU TERRIS, TASNIM DARDOURI, KAVYA GUPTA, ANA NEACSU, FRANK CHEMOUNI, MERIEM SEFTA, PAUL JEHANNO, IMAD BOUSAID, YANNICK BOURSIN, EMMANUEL PLANCHET, MIKAEL AZOULAY, JOCELYN DACHARY, FABIEN BRULPORT, ADRIAN GONZALEZ, OLIVIER DEHAENE, JEAN-BAPTISTE SCHIRATTI, KATHRYN SCHUTTE, JEAN-CHRISTOPHE PESQUET, HUGUES TALBOT, ELODIE PRONIER, GILLES WAINRIB, THOMAS CLOZEL, FABRICE BARLESI, MARIE-FRANCE BELLIN & MICHAEL G. B. BLUM 27 January 2021 VIEW ABSTRACT MEDICAL IMAGING MEETS NEURIPS Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images, NeurIPS 2020 KATHRYN SCHUTTE , OLIVIER MOINDROT, PAUL HÉRENT, JEAN-BAPTISTE SCHIRATTI, SIMON JÉGOU 10 December 2020 VIEW ABSTRACT ARXIV Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology OLIVIER DEHAENE, AXEL CAMARA, OLIVIER MOINDROT, AXEL DE LAVERGNE, PIERRE COURTIOL 08 December 2020 VIEW ABSTRACT EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network PAUL BLANC-DURAND, SIMON JÉGOU, SALIM KANOUN, ALINA BERRIOLO-RIEDINGER, CAROLINE BODET-MILIN, FRANÇOISE KRAEBER-BODÉRÉ, THOMAS CARLIER, STEVEN LE GOUILL, RENÉ-OLIVIER CASASNOVAS, MICHEL MEIGNAN 2 & EMMANUEL ITTI 1,2, 15 October 2020 VIEW ABSTRACT NATURE PARTNER JOURNALS (NPJ) DIGITAL MEDICINE The Future of Digital Health with Federated Learning NICOLA RIEKE, JONNY HANCOX, WENQI LI, FAUSTO MILLETARÌ, HOLGER R. ROTH, SHADI ALBARQOUNI, SPYRIDON BAKAS, MATHIEU N. GALTIER, BENNETT A. LANDMAN, KLAUS MAIER-HEIN, SÉBASTIEN OURSELIN, MICAH SHELLER, RONALD M. SUMMERS, ANDREW TRASK, DAGUANG XU, MAXIMILIAN BAUST, M. JORGE CARDOSO 14 September 2020 VIEW ABSTRACT ARIXIV SAFER: Sparse Secure Aggregation for Federated Learning CONSTANCE BEGUIER, ERIC W. TRAMEL 07 September 2020 VIEW ABSTRACT AWARDED BEST PAPER AT MICCAI 2020 DCL WORKSHOP Siloed Federated Learning for Multi-Centric Histopathology Datasets MATHIEU ANDREUX, JEAN OGIER DU TERRAIL, CONSTANCE BEGUIER, ERIC W. TRAMEL 17 August 2020 VIEW ABSTRACT NATURE COMMUNICATIONS A deep learning model to predict RNA-Seq expression of tumors from whole slide images BENOÎT SCHMAUCH, ALBERTO ROMAGNONI, ELODIE PRONIER, CHARLIE SAILLARD, PASCALE MAILLÉ, JULIEN CALDERARO, MERIEM SEFTA, SYLVAIN TOLDO, THOMAS CLOZEL, MATAHI MOARII, PIERRE COURTIOL, GILLES WAINRIB 03 August 2020 VIEW ABSTRACT ICML FEDERATED LEARNING WORKSHOP 2020 Federated Survival Analysis with Discrete-Time Cox Models MATHIEU ANDREUX, ANDRE MANOEL, ROMUALD MENUET, CHARLIE SAILLARD, CHLOÉ SIMPSON 16 June 2020 VIEW ABSTRACT DIAGNOSTIC AND INTERVENTIONAL IMAGING Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment P.BLANC-DURAND, J.-B.SCHIRATTI, K.SCHUTTE, P.JEHANNO, P.HERENT, F.PIGNEUR, O.LUCIDARME, Y.BENACEUR, A.SADATE, A.LUCIANI, O.ERNST, A.ROUCHAUD, M.CREUZE, A.DALLONGEVILLE, N.BANASTE, M.CADI, I.BOUSAID, N.LASSAU, S.JEGOU 22 May 2020 VIEW ABSTRACT JOURNAL OF THORACIC ONCOLOGY Comprehensive molecular and pathological evaluation of transitional mesothelioma assisted by deep learning approach: a multi institutional study of the International Mesothelioma Panel from MESOPATH Reference Center FRANCOISE GALATEAU SALLE, NOLWENN LE STANG, FRANCK TIRODE, PIERRE COURTIOL, ANDREW G. NICHOLSON, MING-SOUND TSAO, HENRY D. TAZELAAR, ANDREW CHURG, SANJA DACIC, VICTOR ROGGLI, DANIEL PISSALOUX, CHARLES MAUSSION, MATAHI MOARII, MARY BETH BEASLEY, HUGUES BEGUERET, DAVID B. CHAPEL, MARIE CHRISTINE COPIN, ALLEN R. GIBBS, SONJA KLEBE, SYLVIE LANTUEJOUL, KAZUKI NABESHIMA, JEAN MICHEL VIGNAUD, RICHARD ATTANOOS, LUKA BRCIC, FREDERIQUE CAPRON, LUCIEN R. CHIRIEAC, FRANCESCA DAMIOLA, RUTH SEQUEIROS, AURÉLIE CAZES, DIANE DAMOTTE, ARMELLE FOULET, SOPHIE GIUSIANO-COURCAMBECK, KENZO HIROSHIMA, VERONIQUE HOFMAN, ALIYA N. HUSAIN, KEITH KERR, ALBERTO MARCHEVSKY, SEVERINE PAINDAVOINE, JEAN MICHEL PICQUENOT, ISABELLE ROUQUETTE, CHRISTINE SAGAN, JENNIFER SAUTER, FRANCOISE THIVOLET, MARIE BREVET, PHILIPPE ROUVIER, WILLIAM D. TRAVIS, GAETANE PLANCHARD, BIRGIT WEYNAND, THOMAS CLOZEL, GILLES WAINRIB, LYNETTE FERNANDEZ-CUESTA, JEAN-CLAUDE PAIRON, VALERIE RUSCH, NICOLAS GIRARD 09 March 2020 VIEW ABSTRACT HEPATOLOGY Predicting survival after hepatocellular carcinoma resection using deep‐learning on histological slides CHARLIE SAILLARD, BENOIT SCHMAUCH, OUMEIMA LAIFA, MATAHI MOARII, SYLVAIN TOLDO, MIKHAIL ZASLAVSKIY, ELODIE PRONIER, ALEXIS LAURENT, GIULIANA AMADDEO, HÉLÈNE REGNAULT, DANIELE SOMMACALE, MARIANNE ZIOL, JEAN‐MICHEL PAWLOTSKY, SÉBASTIEN MULÉ, ALAIN LUCIANI, GILLES WAINRIB, THOMAS CLOZEL, PIERRE COURTIOL, JULIEN CALDERARO 28 February 2020 VIEW ABSTRACT EUROPEAN RADIOLOGY Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer PAUL BLANC-DURAND, LUCA CAMPEDEL, SÉBASTIEN MULE, SIMON JEGOU, ALAIN LUCIANI, FRÉDÉRIC PIGNEUR, EMMANUEL ITTI 13 February 2020 VIEW ABSTRACT ARXIV Efficient Per-Example Gradient Computations in Convolutional Neural Networks GASPAR ROCHETTE, ANDRE MANOEL, ERIC W. TRAMEL 13 December 2019 VIEW ABSTRACT NATURE MEDICINE Deep learning-based classification of mesothelioma improves prediction of patient outcome PIERRE COURTIOL, CHARLES MAUSSION, MATAHI MOARII, ELODIE PRONIER, SAMUEL PILCER, MERIEM SEFTA, PIERRE MANCERON, SYLVAIN TOLDO, MIKHAIL ZASLAVSKIY, NOLWENN LE STANG, NICOLAS GIRARD, OLIVIER ELEMENTO, ANDREW G. NISCHOLSON, JEAN-YVES BLAY, FRANÇOISE GALATEAU-SALLÉ, GILLES WAINRIB, THOMAS CLOZEL 07 October 2019 VIEW ABSTRACT NATURE, SCIENTIFIC REPORTS Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data ALBERTO ROMAGNONI, SIMON JÉGOU, KRISTEL VAN STEEN, GILLES WAINRIB, JEAN-PIERRE HUGOT & INTERNATIONAL INFLAMMATORY BOWEL DISEASE GENETICS CONSORTIUM (IIBDGC) 17 July 2019 VIEW ABSTRACT COMPUTATIONAL TOXICOLOGY ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors MIKHAIL ZASLAVSKIY, SIMON JÉGOU, ERIC W. TRAMEL, GILLES WAINRIB 06 May 2019 VIEW ABSTRACT DIAGNOSTIC AND INTERVENTIONAL IMAGING Detection and characterization of MRI breast lesions using deep learning P. HERENT, B. SCHMAUCH, P. JEHANNO, O. DEHAENE, C.SAILLARD, C. BALLEYGUIER, J. ARFI-ROUCHE, S. JÉGOU 01 April 2019 VIEW ABSTRACT DIAGNOSTIC AND INTERVENTIONAL IMAGING Diagnosis of focal liver lesions from ultrasound using deep learning B. SCHMAUCH, P. HERENT, P. JEHANNO, O. DEHAENE, C. SAILLARD, C. AUBÉ, A. LUCIANI, N. LASSAUE, S. JÉGOU 01 April 2019 VIEW ABSTRACT PHYSICAL REVIEW X Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines ERIC W. TRAMEL, MARYLOU GABRIÉ, ANDRE MANOEL, FRANCESCO CALTAGIRONE, FLORENT KRZAKALA 09 October 2018 VIEW ABSTRACT ARXIV Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach PIERRE COURTIOL, ERIC W. TRAMEL, MARC SANSELME, GILLES WAINRIB 07 February 2018 VIEW ABSTRACT ARXIV Robust Detection of Covariate-Treatment Interactions in Clinical Trials BAPTISTE GOUJAUD, ERIC W. TRAMEL, PIERRE COURTIOL, MIKHAIL ZASLAVSKIY, GILLES WAINRIB 01 December 2017 VIEW ABSTRACT AI FOR MEDICAL RESEARCH Log in Get in touch Terms of use Privacy Policy Cookie Policy © 2021 OWKIN, INC. All patient data visualized on this website is for illustrative purposes and is a combination of fabricated information and open source databases. Created by Yhello FOLLOW US Newsletter Signup - Footer Sign up and get cutting-edge insights on federated learning & the healthcare industry every month! → SUBSCRIBE We use cookies to give you the best experience possible. If you’re happy with the use of cookies, click ‘Accept all’. Or click ‘Manage cookies’ to learn more. Read more Accept all Functional only Manage cookies