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115 results

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Page 1
Machine Learning-based Prognostic Subgrouping of Glioblastoma: A Multi-center Study.
Akbari H, Bakas S, Sako C, Fathi Kazerooni A, Villanueva-Meyer J, Garcia JA, Mamourian E, Liu F, Cao Q, Shinohara RT, Baid U, Getka A, Pati S, Singh A, Calabrese E, Chang S, Rudie J, Sotiras A, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Balana C, Capellades J, Puig J, Badve C, Barnholtz-Sloan JS, Sloan AE, Vadmal V, Waite K, Ak M, Colen RR, Park YW, Ahn SS, Chang JH, Choi YS, Lee SK, Alexander GS, Ali AS, Dicker AP, Flanders AE, Liem S, Lombardo J, Shi W, Shukla G, Griffith B, Poisson LM, Rogers LR, Kotrotsou A, Booth TC, Jain R, Lee M, Mahajan A, Chakravarti A, Palmer JD, DiCostanzo D, Fathallah-Shaykh H, Cepeda S, Santonocito OS, Di Stefano AL, Wiestler B, Melhem ER, Woodworth GF, Tiwari P, Valdes P, Matsumoto Y, Otani Y, Imoto R, Aboian M, Koizumi S, Kurozumi K, Kawakatsu T, Alexander K, Satgunaseelan L, Rulseh AM, Bagley SJ, Bilello M, Binder ZA, Brem S, Desai AS, Lustig RA, Maloney E, Prior T, Amankulor N, Nasrallah MLP, O'Rourke DM, Mohan S, Davatzikos C; ReSPOND consortium. Akbari H, et al. Among authors: bakas s. Neuro Oncol. 2024 Dec 12:noae260. doi: 10.1093/neuonc/noae260. Online ahead of print. Neuro Oncol. 2024. PMID: 39665363
Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging.
Lost J, Ashraf N, Jekel L, von Reppert M, Tillmanns N, Willms K, Merkaj S, Petersen GC, Avesta A, Ramakrishnan D, Omuro A, Nabavizadeh A, Bakas S, Bousabarah K, Lin M, Aneja S, Sabel M, Aboian M. Lost J, et al. Among authors: bakas s. Neurooncol Adv. 2024 Oct 3;6(1):vdae157. doi: 10.1093/noajnl/vdae157. eCollection 2024 Jan-Dec. Neurooncol Adv. 2024. PMID: 39659829 Free PMC article.
Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.
Ahluwalia VS, Doiphode N, Mankowski WC, Cohen EA, Pati S, Pantalone L, Bakas S, Brooks A, Vachon CM, Conant EF, Gastounioti A, Kontos D. Ahluwalia VS, et al. Among authors: bakas s. JCO Clin Cancer Inform. 2024 Dec;8:e2400103. doi: 10.1200/CCI.24.00103. Epub 2024 Dec 9. JCO Clin Cancer Inform. 2024. PMID: 39652797 Free PMC article.
Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology.
Agraz JL, Agraz C, Chen AA, Rice C, Pozos RS, Aelterman S, Tan A, Viaene AN, Nasrallah MP, Sharma P, Grenko CM, Kurc T, Saltz J, Feldman MD, Akbari H, Shinohara RT, Bakas S, Wilson P. Agraz JL, et al. Among authors: bakas s. IEEE Open J Eng Med Biol. 2024 Sep 6;6:35-40. doi: 10.1109/OJEMB.2024.3455011. eCollection 2025. IEEE Open J Eng Med Biol. 2024. PMID: 39564562 Free PMC article.
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.
Bakas S, Vollmuth P, Galldiks N, Booth TC, Aerts HJWL, Bi WL, Wiestler B, Tiwari P, Pati S, Baid U, Calabrese E, Lohmann P, Nowosielski M, Jain R, Colen R, Ismail M, Rasool G, Lupo JM, Akbari H, Tonn JC, Macdonald D, Vogelbaum M, Chang SM, Davatzikos C, Villanueva-Meyer JE, Huang RY; Response Assessment in Neuro Oncology (RANO) group. Bakas S, et al. Lancet Oncol. 2024 Nov;25(11):e589-e601. doi: 10.1016/S1470-2045(24)00315-2. Lancet Oncol. 2024. PMID: 39481415 Review.
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.
Villanueva-Meyer JE, Bakas S, Tiwari P, Lupo JM, Calabrese E, Davatzikos C, Bi WL, Ismail M, Akbari H, Lohmann P, Booth TC, Wiestler B, Aerts HJWL, Rasool G, Tonn JC, Nowosielski M, Jain R, Colen RR, Pati S, Baid U, Vollmuth P, Macdonald D, Vogelbaum MA, Chang SM, Huang RY, Galldiks N; Response Assessment in Neuro Oncology (RANO) group. Villanueva-Meyer JE, et al. Among authors: bakas s. Lancet Oncol. 2024 Nov;25(11):e581-e588. doi: 10.1016/S1470-2045(24)00316-4. Lancet Oncol. 2024. PMID: 39481414 Review.
A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges.
Gomez F, Danos AM, Del Fiol G, Madabhushi A, Tiwari P, McMichael JF, Bakas S, Bian J, Davatzikos C, Fertig EJ, Kalpathy-Cramer J, Kenney J, Savova GK, Yetisgen M, Van Allen EM, Warner JL, Prior F, Griffith M, Griffith OL. Gomez F, et al. Among authors: bakas s. Cancer Discov. 2024 Oct 4;14(10):1774-1778. doi: 10.1158/2159-8290.CD-24-1130. Cancer Discov. 2024. PMID: 39363742 Free PMC article.
Federated learning as a catalyst for digital healthcare innovations.
Yang G, Edwards B, Bakas S, Dou Q, Xu D, Li X, Wang W. Yang G, et al. Among authors: bakas s. Patterns (N Y). 2024 Jul 12;5(7):101026. doi: 10.1016/j.patter.2024.101026. eCollection 2024 Jul 12. Patterns (N Y). 2024. PMID: 39081574 Free PMC article. No abstract available.
Privacy preservation for federated learning in health care.
Pati S, Kumar S, Varma A, Edwards B, Lu C, Qu L, Wang JJ, Lakshminarayanan A, Wang SH, Sheller MJ, Chang K, Singh P, Rubin DL, Kalpathy-Cramer J, Bakas S. Pati S, et al. Among authors: bakas s. Patterns (N Y). 2024 Jul 12;5(7):100974. doi: 10.1016/j.patter.2024.100974. eCollection 2024 Jul 12. Patterns (N Y). 2024. PMID: 39081567 Free PMC article. Review.
Best practices to evaluate the impact of biomedical research software-metric collection beyond citations.
Afiaz A, Ivanov AA, Chamberlin J, Hanauer D, Savonen CL, Goldman MJ, Morgan M, Reich M, Getka A, Holmes A, Pati S, Knight D, Boutros PC, Bakas S, Caporaso JG, Del Fiol G, Hochheiser H, Haas B, Schloss PD, Eddy JA, Albrecht J, Fedorov A, Waldron L, Hoffman AM, Bradshaw RL, Leek JT, Wright C. Afiaz A, et al. Among authors: bakas s. Bioinformatics. 2024 Aug 2;40(8):btae469. doi: 10.1093/bioinformatics/btae469. Bioinformatics. 2024. PMID: 39067017 Free PMC article.
115 results