Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold.

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Title: Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold.
Authors: DeKraker J; Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.; Western Institute for Neuroscience, The University of Western Ontario, London, Canada., Haast RAM; Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada., Yousif MD; Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada., Karat B; Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada., Lau JC; Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.; Department of Clinical Neurological Sciences, Division of Neurosurgery, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Canada.; School of Biomedical Engineering, The University of Western Ontario, London, Canada., Köhler S; Western Institute for Neuroscience, The University of Western Ontario, London, Canada.; Department of Psychology, Faculty of Social Science, The University of Western Ontario, London, Canada., Khan AR; Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.; Western Institute for Neuroscience, The University of Western Ontario, London, Canada.; School of Biomedical Engineering, The University of Western Ontario, London, Canada.; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.
Source: ELife [Elife] 2022 Dec 15; Vol. 11. Date of Electronic Publication: 2022 Dec 15.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2050-084X
DOI:10.7554/eLife.77945