Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BET.

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Title: Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BET.
Authors: Mahmutoglu MA; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany., Rastogi A; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology & Clinical AI, Bonn University Hospital, Bonn, Germany., Yun YC; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.; Division of Radiology, German Cancer Research Center, Heidelberg, Germany., Middha S; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany., Kernbach J; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany., Foltyn-Dumitru M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology & Clinical AI, Bonn University Hospital, Bonn, Germany., Brugnara G; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.; Division for Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology & Clinical AI, Bonn University Hospital, Bonn, Germany., Vollmuth P; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.; Division for Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology & Clinical AI, Bonn University Hospital, Bonn, Germany., Radbruch A; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany., Bendszus M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Schell M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2026 Jan; Vol. 8 (1), pp. e240847.
Publication Type: Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2638-6100
DOI:10.1148/ryai.240847