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. |
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| 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 |
| ISSN: | 1873-5894 |
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| DOI: | 10.1016/j.mri.2026.110637 |
