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Year Number of Results
2009 2
2010 1
2012 1
2014 2
2019 2
2020 2
2021 1
2022 2
2023 2
2024 0

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14 results

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Page 1
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides.
Saillard C, Schmauch B, Laifa O, Moarii M, Toldo S, Zaslavskiy M, Pronier E, Laurent A, Amaddeo G, Regnault H, Sommacale D, Ziol M, Pawlotsky JM, Mulé S, Luciani A, Wainrib G, Clozel T, Courtiol P, Calderaro J. Saillard C, et al. Among authors: zaslavskiy m. Hepatology. 2020 Dec;72(6):2000-2013. doi: 10.1002/hep.31207. Hepatology. 2020. PMID: 32108950
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.
Saillard C, Delecourt F, Schmauch B, Moindrot O, Svrcek M, Bardier-Dupas A, Emile JF, Ayadi M, Rebours V, de Mestier L, Hammel P, Neuzillet C, Bachet JB, Iovanna J, Dusetti N, Blum Y, Richard M, Kermezli Y, Paradis V, Zaslavskiy M, Courtiol P, Kamoun A, Nicolle R, Cros J. Saillard C, et al. Among authors: zaslavskiy m. Nat Commun. 2023 Jun 13;14(1):3459. doi: 10.1038/s41467-023-39026-y. Nat Commun. 2023. PMID: 37311751 Free PMC article.
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer.
Ogier du Terrail J, Leopold A, Joly C, Béguier C, Andreux M, Maussion C, Schmauch B, Tramel EW, Bendjebbar E, Zaslavskiy M, Wainrib G, Milder M, Gervasoni J, Guerin J, Durand T, Livartowski A, Moutet K, Gautier C, Djafar I, Moisson AL, Marini C, Galtier M, Balazard F, Dubois R, Moreira J, Simon A, Drubay D, Lacroix-Triki M, Franchet C, Bataillon G, Heudel PE. Ogier du Terrail J, et al. Among authors: zaslavskiy m. Nat Med. 2023 Jan;29(1):135-146. doi: 10.1038/s41591-022-02155-w. Epub 2023 Jan 19. Nat Med. 2023. PMID: 36658418
Deep learning-based classification of mesothelioma improves prediction of patient outcome.
Courtiol P, Maussion C, Moarii M, Pronier E, Pilcer S, Sefta M, Manceron P, Toldo S, Zaslavskiy M, Le Stang N, Girard N, Elemento O, Nicholson AG, Blay JY, Galateau-Sallé F, Wainrib G, Clozel T. Courtiol P, et al. Among authors: zaslavskiy m. Nat Med. 2019 Oct;25(10):1519-1525. doi: 10.1038/s41591-019-0583-3. Epub 2019 Oct 7. Nat Med. 2019. PMID: 31591589
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen.
Menden MP, Wang D, Mason MJ, Szalai B, Bulusu KC, Guan Y, Yu T, Kang J, Jeon M, Wolfinger R, Nguyen T, Zaslavskiy M; AstraZeneca-Sanger Drug Combination DREAM Consortium; Jang IS, Ghazoui Z, Ahsen ME, Vogel R, Neto EC, Norman T, Tang EKY, Garnett MJ, Veroli GYD, Fawell S, Stolovitzky G, Guinney J, Dry JR, Saez-Rodriguez J. Menden MP, et al. Among authors: zaslavskiy m. Nat Commun. 2019 Jun 17;10(1):2674. doi: 10.1038/s41467-019-09799-2. Nat Commun. 2019. PMID: 31209238 Free PMC article.
A deep learning model to predict RNA-Seq expression of tumours from whole slide images.
Schmauch B, Romagnoni A, Pronier E, Saillard C, Maillé P, Calderaro J, Kamoun A, Sefta M, Toldo S, Zaslavskiy M, Clozel T, Moarii M, Courtiol P, Wainrib G. Schmauch B, et al. Among authors: zaslavskiy m. Nat Commun. 2020 Aug 3;11(1):3877. doi: 10.1038/s41467-020-17678-4. Nat Commun. 2020. PMID: 32747659 Free PMC article.
Chromosomal context and epigenetic mechanisms control the efficacy of genome editing by rare-cutting designer endonucleases.
Daboussi F, Zaslavskiy M, Poirot L, Loperfido M, Gouble A, Guyot V, Leduc S, Galetto R, Grizot S, Oficjalska D, Perez C, Delacôte F, Dupuy A, Chion-Sotinel I, Le Clerre D, Lebuhotel C, Danos O, Lemaire F, Oussedik K, Cédrone F, Epinat JC, Smith J, Yáñez-Muñoz RJ, Dickson G, Popplewell L, Koo T, VandenDriessche T, Chuah MK, Duclert A, Duchateau P, Pâques F. Daboussi F, et al. Among authors: zaslavskiy m. Nucleic Acids Res. 2012 Jul;40(13):6367-79. doi: 10.1093/nar/gks268. Epub 2012 Mar 29. Nucleic Acids Res. 2012. PMID: 22467209 Free PMC article.
14 results