Accepted Manuscript © The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries Niklas Tillmanns 1,7 , Avery E. Lum 1 , Gabriel Cassinelli 1 , Sara Merkaj 1 , Tej Verma 1 , Tal Zeevi M.Sc 1 , Lawrence Staib PhD 1 , Harry Subramanian MD 1 , Ryan C. Bahar 1 , Waverly Brim 1 , Jan Lost 1 , Leon Jekel 1 , Alexandria Brackett MA 4 , Sam Payabvash MD 1 , Ichiro Ikuta MD 1 , MingDe Lin PhD 1,2 , Khaled Bousabarah M.Sc 3 , Michele H. Johnson MD 1 , Jin Cui 5 , Ajay Malhotra MD 1 , Antonio Omuro MD 6 , Bernd Turowski Prof. Dr. 7 , Mariam S. Aboian MD/PhD 1 1 Brain Tumor Research Group, Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, PO Box 208042, New Haven, CT 06520, USA (NT, AL, GC, SM, TV, TZ, LS, HS, RB, WB, JL, LJ, SP, II, ML, MJ, AM, MA) 2 Visage Imaging, Inc., 12625 High Bluff Dr, San Diego, CA 92130, USA (ML) 3 Visage Imaging, GmbH., Lepsiusstraße 70, 12163, Berlin, Germany (KB) 4 Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, CT 06520, USA(AB) 5 Department of Pathology, Boston Children’s Hospital, Boston, MA 02115, USA (JC) 6 Department of Neurology and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA(AO) 7 University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D- 40225 Dusseldorf, Germany (NT, BT) Corresponding Author: Mariam S. Aboian, M.D./Ph.D., (650) 285-7577, mariam.aboian@yale.edu, 789 Howard Avenue (CB30), PO Box 208042, New Haven, CT 06520, United States of America Funding: Sara Merkaj receives funding in part from the Biomedical Education Program (BMEP). Ryan Bahar receives funding in part from the National Institute of Diabetes and Digestive and Kidney Disease of the National Institutes of Health under Award Number T35DK104689. Mariam Aboian received funding from American Society of Neuroradiology Fellow Award 2018. This publication was made possible by KL2 TR001862 (Mariam Aboian) from the National Center for Advancing Downloaded from https://academic.oup.com/noa/advance-article/doi/10.1093/noajnl/vdac093/6608471 by guest on 16 June 2022