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DeepVBM: A fully automatic and efficient voxel-based morphometry via deep learning-based segmentation and registration methods.

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Title: DeepVBM: A fully automatic and efficient voxel-based morphometry via deep learning-based segmentation and registration methods.
Authors: Sun PM; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Huang TY; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Electronic address: tyhuang@mail.ntust.edu.tw., Chuang TC; Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan., Lin YR; Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Chung HW; Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Corporate Authors: Alzheimer's Disease Neuroimaging Initiative
Source: Magnetic resonance imaging [Magn Reson Imaging] 2026 May; Vol. 128, pp. 110637. Date of Electronic Publication: 2026 Feb 02.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Sun+PM%22">Sun PM</searchLink>; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+TY%22">Huang TY</searchLink>; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Electronic address: tyhuang@mail.ntust.edu.tw.<br /><searchLink fieldCode="AU" term="%22Chuang+TC%22">Chuang TC</searchLink>; Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+YR%22">Lin YR</searchLink>; Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chung+HW%22">Chung HW</searchLink>; Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
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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>8214883 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-5894 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220730725X%22">0730725X </searchLink><i>NLM ISO Abbreviation: </i>Magn Reson Imaging <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.mri.2026.110637
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      – Code: eng
        Text: English
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        StartPage: 110637
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      – TitleFull: DeepVBM: A fully automatic and efficient voxel-based morphometry via deep learning-based segmentation and registration methods.
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            NameFull: Sun PM
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            NameFull: Huang TY
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            NameFull: Chuang TC
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            NameFull: Lin YR
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            – D: 01
              M: 05
              Text: 2026 May
              Type: published
              Y: 2026
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