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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. Among authors: aerts hjwl. 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: aerts hjwl. Lancet Oncol. 2024 Nov;25(11):e581-e588. doi: 10.1016/S1470-2045(24)00316-4. Lancet Oncol. 2024. PMID: 39481414 Review.
MHC Hammer reveals genetic and non-genetic HLA disruption in cancer evolution.
Puttick C, Jones TP, Leung MM, Galvez-Cancino F, Liu J, Varas-Godoy M, Rowan A, Pich O, Martinez-Ruiz C, Bentham R, Dijkstra KK, Black JRM, Rosenthal R, Kanu N, Litchfield K, Salgado R, Moore DA, Van Loo P, Jamal-Hanjani M, Quezada SA; TRACERx Consortium; Swanton C, McGranahan N. Puttick C, et al. Nat Genet. 2024 Oct;56(10):2121-2131. doi: 10.1038/s41588-024-01883-8. Epub 2024 Oct 2. Nat Genet. 2024. PMID: 39358601 Free PMC article.
Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas.
Mahootiha M, Tak D, Ye Z, Zapaishchykova A, Likitlersuang J, Climent Pardo JC, Boyd A, Vajapeyam S, Chopra R, Prabhu SP, Liu KX, Elhalawani H, Nabavizadeh A, Familiar A, Mueller S, Aerts HJWL, Bandopadhayay P, Ligon KL, Haas-Kogan D, Poussaint TY, Qadir HA, Balasingham I, Kann BH. Mahootiha M, et al. Among authors: aerts hjwl. Neuro Oncol. 2024 Aug 30:noae173. doi: 10.1093/neuonc/noae173. Online ahead of print. Neuro Oncol. 2024. PMID: 39211987
End-to-end reproducible AI pipelines in radiology using the cloud.
Bontempi D, Nuernberg L, Pai S, Krishnaswamy D, Thiriveedhi V, Hosny A, Mak RH, Farahani K, Kikinis R, Fedorov A, Aerts HJWL. Bontempi D, et al. Among authors: aerts hjwl. Nat Commun. 2024 Aug 13;15(1):6931. doi: 10.1038/s41467-024-51202-2. Nat Commun. 2024. PMID: 39138215 Free PMC article.
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.
Boyd A, Ye Z, Prabhu SP, Tjong MC, Zha Y, Zapaishchykova A, Vajapeyam S, Catalano PJ, Hayat H, Chopra R, Liu KX, Nabavizadeh A, Resnick AC, Mueller S, Haas-Kogan DA, Aerts HJWL, Poussaint TY, Kann BH. Boyd A, et al. Among authors: aerts hjwl. Radiol Artif Intell. 2024 Jul;6(4):e230254. doi: 10.1148/ryai.230254. Radiol Artif Intell. 2024. PMID: 38984985 Free PMC article.
Longitudinal risk prediction for pediatric glioma with temporal deep learning.
Tak D, Garomsa BA, Zapaishchykova A, Ye Z, Vajapeyam S, Mahootiha M, Climent Pardo JC, Smith C, Familiar AM, Chaunzwa T, Liu KX, Prabhu S, Bandopadhayay P, Nabavizadeh A, Mueller S, Aerts HJ, Haas-Kogan D, Poussaint TY, Kann BH. Tak D, et al. Among authors: aerts hj. medRxiv [Preprint]. 2024 Jun 28:2024.06.04.24308434. doi: 10.1101/2024.06.04.24308434. medRxiv. 2024. PMID: 38978642 Free PMC article. Preprint.
212 results