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Asymmetric fiber orientation distribution estimation via unsupervised deep learning.

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Title: Asymmetric fiber orientation distribution estimation via unsupervised deep learning.
Authors: Zhang D; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China., Li Z; Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Deng X; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Han Z; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Wang A; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Liu Y; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China., Zong F; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China; Xiong'an Aerospace Information Research Institute, Hebei, China; Center for South Pacific Studies, Beijing University of Posts and Telecommunications, Beijing, China. Electronic address: fangrong.zong@bupt.edu.cn.
Source: Medical image analysis [Med Image Anal] 2026 May; Vol. 110, pp. 103968. Date of Electronic Publication: 2026 Jan 29.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhang+D%22">Zhang D</searchLink>; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Deng+X%22">Deng X</searchLink>; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Han+Z%22">Han Z</searchLink>; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Wang+A%22">Wang A</searchLink>; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zong+F%22">Zong F</searchLink>; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China; Xiong'an Aerospace Information Research Institute, Hebei, China; Center for South Pacific Studies, Beijing University of Posts and Telecommunications, Beijing, China. Electronic address: fangrong.zong@bupt.edu.cn.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9713490 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-8423 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213618415%22">13618415 </searchLink><i>NLM ISO Abbreviation: </i>Med Image Anal <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.media.2026.103968
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              Text: 2026 May
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