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Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries.
Tillmanns N, Lum AE, Cassinelli G, Merkaj S, Verma T, Zeevi T, Staib L, Subramanian H, Bahar RC, Brim W, Lost J, Jekel L, Brackett A, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Omuro A, Turowski B, Aboian MS. Tillmanns N, et al. Among authors: bahar rc. Neurooncol Adv. 2022 Jun 14;4(1):vdac093. doi: 10.1093/noajnl/vdac093. eCollection 2022 Jan-Dec. Neurooncol Adv. 2022. PMID: 36071926 Free PMC article. Review.
Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis.
Bahar RC, Merkaj S, Cassinelli Petersen GI, Tillmanns N, Subramanian H, Brim WR, Zeevi T, Staib L, Kazarian E, Lin M, Bousabarah K, Huttner AJ, Pala A, Payabvash S, Ivanidze J, Cui J, Malhotra A, Aboian MS. Bahar RC, et al. Front Oncol. 2022 Apr 22;12:856231. doi: 10.3389/fonc.2022.856231. eCollection 2022. Front Oncol. 2022. PMID: 35530302 Free PMC article.