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Page 1
MYC Rearrangement Prediction From LYSA Whole Slide Images in Large B-Cell Lymphoma: A Multicentric Validation of Self-supervised Deep Learning Models.
Syrykh C, Di Proietto V, Brion E, Copie-Bergman C, Jardin F, Dartigues P, Gaulard P, Molina TJ, Briere J, Oberic L, Haioun C, Tilly H, Maussion C, Morel M, Schiratti JB, Laurent C. Syrykh C, et al. Among authors: maussion c. Mod Pathol. 2024 Dec;37(12):100610. doi: 10.1016/j.modpat.2024.100610. Epub 2024 Sep 10. Mod Pathol. 2024. PMID: 39265953
Development of a deep-learning model tailored for HER2 detection in breast cancer to aid pathologists in interpreting HER2-low cases.
Bannier PA, Broeckx G, Herpin L, Dubois R, Van Praet L, Maussion C, Deman F, Amonoo E, Mera A, Timbres J, Gillett C, Sawyer E, Gazińska P, Ziolkowski P, Lacroix-Triki M, Salgado R, Irshad S. Bannier PA, et al. Among authors: maussion c. Histopathology. 2024 Sep;85(3):478-488. doi: 10.1111/his.15274. Epub 2024 Jul 14. Histopathology. 2024. PMID: 39004603
Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor.
Fu Y, Karanian M, Perret R, Camara A, Le Loarer F, Jean-Denis M, Hostein I, Michot A, Ducimetiere F, Giraud A, Courreges JB, Courtet K, Laizet Y, Bendjebbar E, Du Terrail JO, Schmauch B, Maussion C, Blay JY, Italiano A, Coindre JM. Fu Y, et al. Among authors: maussion c. NPJ Precis Oncol. 2023 Jul 24;7(1):71. doi: 10.1038/s41698-023-00421-9. NPJ Precis Oncol. 2023. PMID: 37488222 Free PMC article.
Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity.
Mangiante L, Alcala N, Sexton-Oates A, Di Genova A, Gonzalez-Perez A, Khandekar A, Bergstrom EN, Kim J, Liu X, Blazquez-Encinas R, Giacobi C, Le Stang N, Boyault S, Cuenin C, Tabone-Eglinger S, Damiola F, Voegele C, Ardin M, Michallet MC, Soudade L, Delhomme TM, Poret A, Brevet M, Copin MC, Giusiano-Courcambeck S, Damotte D, Girard C, Hofman V, Hofman P, Mouroux J, Cohen C, Lacomme S, Mazieres J, de Montpreville VT, Perrin C, Planchard G, Rousseau N, Rouquette I, Sagan C, Scherpereel A, Thivolet F, Vignaud JM, Jean D, Ilg AGS, Olaso R, Meyer V, Boland-Auge A, Deleuze JF, Altmuller J, Nuernberg P, Ibáñez-Costa A, Castaño JP, Lantuejoul S, Ghantous A, Maussion C, Courtiol P, Hernandez-Vargas H, Caux C, Girard N, Lopez-Bigas N, Alexandrov LB, Galateau-Salle F, Foll M, Fernandez-Cuesta L. Mangiante L, et al. Among authors: maussion c. Nat Genet. 2023 Apr;55(4):607-618. doi: 10.1038/s41588-023-01321-1. Epub 2023 Mar 16. Nat Genet. 2023. PMID: 36928603 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: maussion c. Nat Med. 2023 Jan;29(1):135-146. doi: 10.1038/s41591-022-02155-w. Epub 2023 Jan 19. Nat Med. 2023. PMID: 36658418
An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.
Schutte K, Brulport F, Harguem-Zayani S, Schiratti JB, Ghermi R, Jehanno P, Jaeger A, Alamri T, Naccache R, Haddag-Miliani L, Orsi T, Lamarque JP, Hoferer I, Lawrance L, Benatsou B, Bousaid I, Azoulay M, Verdon A, Bidault F, Balleyguier C, Aubert V, Bendjebbar E, Maussion C, Loiseau N, Schmauch B, Sefta M, Wainrib G, Clozel T, Ammari S, Lassau N. Schutte K, et al. Among authors: maussion c. Eur J Cancer. 2022 Oct;174:90-98. doi: 10.1016/j.ejca.2022.06.055. Epub 2022 Aug 16. Eur J Cancer. 2022. PMID: 35985252 Free article.
Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center.
Galateau Salle F, Le Stang N, Tirode F, Courtiol P, Nicholson AG, Tsao MS, Tazelaar HD, Churg A, Dacic S, Roggli V, Pissaloux D, Maussion C, Moarii M, Beasley MB, Begueret H, Chapel DB, Copin MC, Gibbs AR, Klebe S, Lantuejoul S, Nabeshima K, Vignaud JM, Attanoos R, Brcic L, Capron F, Chirieac LR, Damiola F, Sequeiros R, Cazes A, Damotte D, Foulet A, Giusiano-Courcambeck S, Hiroshima K, Hofman V, Husain AN, Kerr K, Marchevsky A, Paindavoine S, Picquenot JM, Rouquette I, Sagan C, Sauter J, Thivolet F, Brevet M, Rouvier P, Travis WD, Planchard G, Weynand B, Clozel T, Wainrib G, Fernandez-Cuesta L, Pairon JC, Rusch V, Girard N. Galateau Salle F, et al. Among authors: maussion c. J Thorac Oncol. 2020 Jun;15(6):1037-1053. doi: 10.1016/j.jtho.2020.01.025. Epub 2020 Mar 9. J Thorac Oncol. 2020. PMID: 32165206 Free PMC article.
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: maussion c. Nat Med. 2019 Oct;25(10):1519-1525. doi: 10.1038/s41591-019-0583-3. Epub 2019 Oct 7. Nat Med. 2019. PMID: 31591589