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A rectal cancer organoid platform to study individual responses to chemoradiation.
Ganesh K, Wu C, O'Rourke KP, Szeglin BC, Zheng Y, Sauvé CG, Adileh M, Wasserman I, Marco MR, Kim AS, Shady M, Sanchez-Vega F, Karthaus WR, Won HH, Choi SH, Pelossof R, Barlas A, Ntiamoah P, Pappou E, Elghouayel A, Strong JS, Chen CT, Harris JW, Weiser MR, Nash GM, Guillem JG, Wei IH, Kolesnick RN, Veeraraghavan H, Ortiz EJ, Petkovska I, Cercek A, Manova-Todorova KO, Saltz LB, Lavery JA, DeMatteo RP, Massagué J, Paty PB, Yaeger R, Chen X, Patil S, Clevers H, Berger MF, Lowe SW, Shia J, Romesser PB, Dow LE, Garcia-Aguilar J, Sawyers CL, Smith JJ. Ganesh K, et al. Among authors: veeraraghavan h. Nat Med. 2019 Oct;25(10):1607-1614. doi: 10.1038/s41591-019-0584-2. Epub 2019 Oct 7. Nat Med. 2019. PMID: 31591597 Free PMC article.
Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations.
Horvat N, Veeraraghavan H, Pelossof RA, Fernandes MC, Arora A, Khan M, Marco M, Cheng CT, Gonen M, Golia Pernicka JS, Gollub MJ, Garcia-Aguillar J, Petkovska I. Horvat N, et al. Among authors: veeraraghavan h. Eur J Radiol. 2019 Apr;113:174-181. doi: 10.1016/j.ejrad.2019.02.022. Epub 2019 Feb 18. Eur J Radiol. 2019. PMID: 30927944 Free PMC article.
Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy.
Petkovska I, Tixier F, Ortiz EJ, Golia Pernicka JS, Paroder V, Bates DD, Horvat N, Fuqua J, Schilsky J, Gollub MJ, Garcia-Aguilar J, Veeraraghavan H. Petkovska I, et al. Among authors: veeraraghavan h. Abdom Radiol (NY). 2020 Nov;45(11):3608-3617. doi: 10.1007/s00261-020-02502-w. Abdom Radiol (NY). 2020. PMID: 32296896 Free PMC article.
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.
Horvat N, Veeraraghavan H, Nahas CSR, Bates DDB, Ferreira FR, Zheng J, Capanu M, Fuqua JL 3rd, Fernandes MC, Sosa RE, Jayaprakasam VS, Cerri GG, Nahas SC, Petkovska I. Horvat N, et al. Among authors: veeraraghavan h. Abdom Radiol (NY). 2022 Aug;47(8):2770-2782. doi: 10.1007/s00261-022-03572-8. Epub 2022 Jun 16. Abdom Radiol (NY). 2022. PMID: 35710951 Free PMC article.
Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.
Veeraraghavan H, Friedman CF, DeLair DF, Ninčević J, Himoto Y, Bruni SG, Cappello G, Petkovska I, Nougaret S, Nikolovski I, Zehir A, Abu-Rustum NR, Aghajanian C, Zamarin D, Cadoo KA, Diaz LA Jr, Leitao MM Jr, Makker V, Soslow RA, Mueller JJ, Weigelt B, Lakhman Y. Veeraraghavan H, et al. Sci Rep. 2020 Oct 20;10(1):17769. doi: 10.1038/s41598-020-72475-9. Sci Rep. 2020. PMID: 33082371 Free PMC article.
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer.
Boehm KM, Aherne EA, Ellenson L, Nikolovski I, Alghamdi M, Vázquez-García I, Zamarin D, Long Roche K, Liu Y, Patel D, Aukerman A, Pasha A, Rose D, Selenica P, Causa Andrieu PI, Fong C, Capanu M, Reis-Filho JS, Vanguri R, Veeraraghavan H, Gangai N, Sosa R, Leung S, McPherson A, Gao J; MSK MIND Consortium; Lakhman Y, Shah SP. Boehm KM, et al. Among authors: veeraraghavan h. Nat Cancer. 2022 Jun;3(6):723-733. doi: 10.1038/s43018-022-00388-9. Epub 2022 Jun 28. Nat Cancer. 2022. PMID: 35764743 Free PMC article.
82 results