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Page 1
Federated learning enables big data for rare cancer boundary detection.
Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson… See abstract for full author list ➔ Pati S, et al. Among authors: vallieres m. Nat Commun. 2022 Dec 5;13(1):7346. doi: 10.1038/s41467-022-33407-5. Nat Commun. 2022. PMID: 36470898 Free PMC article.
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy.
Lucia F, Visvikis D, Vallières M, Desseroit MC, Miranda O, Robin P, Bonaffini PA, Alfieri J, Masson I, Mervoyer A, Reinhold C, Pradier O, Hatt M, Schick U. Lucia F, et al. Among authors: vallieres m. Eur J Nucl Med Mol Imaging. 2019 Apr;46(4):864-877. doi: 10.1007/s00259-018-4231-9. Epub 2018 Dec 7. Eur J Nucl Med Mol Imaging. 2019. PMID: 30535746
18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort.
Hatt M, Majdoub M, Vallières M, Tixier F, Le Rest CC, Groheux D, Hindié E, Martineau A, Pradier O, Hustinx R, Perdrisot R, Guillevin R, El Naqa I, Visvikis D. Hatt M, et al. Among authors: vallieres m. J Nucl Med. 2015 Jan;56(1):38-44. doi: 10.2967/jnumed.114.144055. Epub 2014 Dec 11. J Nucl Med. 2015. PMID: 25500829 Free article.
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
Xi IL, Zhao Y, Wang R, Chang M, Purkayastha S, Chang K, Huang RY, Silva AC, Vallières M, Habibollahi P, Fan Y, Zou B, Gade TP, Zhang PJ, Soulen MC, Zhang Z, Bai HX, Stavropoulos SW. Xi IL, et al. Among authors: vallieres m. Clin Cancer Res. 2020 Apr 15;26(8):1944-1952. doi: 10.1158/1078-0432.CCR-19-0374. Epub 2020 Jan 14. Clin Cancer Res. 2020. PMID: 31937619
Machine and deep learning methods for radiomics.
Avanzo M, Wei L, Stancanello J, Vallières M, Rao A, Morin O, Mattonen SA, El Naqa I. Avanzo M, et al. Among authors: vallieres m. Med Phys. 2020 Jun;47(5):e185-e202. doi: 10.1002/mp.13678. Med Phys. 2020. PMID: 32418336 Free PMC article. Review.
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication.
Morin O, Vallières M, Braunstein S, Ginart JB, Upadhaya T, Woodruff HC, Zwanenburg A, Chatterjee A, Villanueva-Meyer JE, Valdes G, Chen W, Hong JC, Yom SS, Solberg TD, Löck S, Seuntjens J, Park C, Lambin P. Morin O, et al. Among authors: vallieres m. Nat Cancer. 2021 Jul;2(7):709-722. doi: 10.1038/s43018-021-00236-2. Epub 2021 Jul 22. Nat Cancer. 2021. PMID: 35121948
75 results