Asymmetric fiber orientation distribution estimation via unsupervised deep learning.

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Bibliographic Details
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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