Segmentation of the human tongue musculature using MRI: Field guide and validation in motor neuron disease.

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Bibliographic Details
Title: Segmentation of the human tongue musculature using MRI: Field guide and validation in motor neuron disease.
Authors: Shaw TB; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia; Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia; Department of Neurology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia. Electronic address: t.shaw@uq.edu.au., Ribeiro FL; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia., Zhu X; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia; Griffith School of Medicine and Dentistry, QLD, Australia; Queensland Health, Queensland, Australia., Aiken P; School of Health and Rehabilitation Sciences, The University of Queensland, St. Lucia, QLD, Australia., Bollmann S; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia., Bollmann S; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia; Queensland Digital Health Centre (QDHeC), The University of Queensland, Herston, QLD, Australia., Chang J; School of Biomedical Sciences, The University of Queensland, St Lucia, QLD, Australia., Chidley K; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia; School of Psychology, The University of Queensland, St Lucia, QLD, Australia., Dempsey-Jones H; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia; School of Psychology, The University of Queensland, St Lucia, QLD, Australia., Eftekhari Z; Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia; ARC Training Centre for Innovation in Biomedical Imaging and Technology (CIBIT), Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, Australia., Gillespie J; Department of Medical Imaging, Royal Brisbane and Women's Hospital, QLD, Australia; School of Medicine, University of Queensland, QLD, Australia., Henderson RD; Department of Neurology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia; Centre for Clinical Research, The University of Queensland, Herston, QLD, Australia., Kiernan MC; Neuroscience Research Australia, Sydney, NSW, Australia; Neuroscience, The University of NSW, Department of Neurology, Southeastern Sydney Local Health District, Sydney, NSW, Australia., Ktena I; Google DeepMind, London, United Kingdom., McCombe PA; Department of Neurology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia; Centre for Clinical Research, The University of Queensland, Herston, QLD, Australia., Ngo ST; Department of Neurology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia; Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, QLD, Australia., Taubert ST; School of Health and Rehabilitation Sciences, The University of Queensland, St. Lucia, QLD, Australia; Speech Pathology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia., Whelan BM; School of Health and Rehabilitation Sciences, The University of Queensland, St. Lucia, QLD, Australia., Ye X; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia., Steyn FJ; Department of Neurology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia; School of Biomedical Sciences, The University of Queensland, St Lucia, QLD, Australia., Tu S; Neuroscience Research Australia, Sydney, NSW, Australia; Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, NSW, Australia., Barth M; School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia; Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia; ARC Training Centre for Innovation in Biomedical Imaging and Technology (CIBIT), Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, Australia.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt B), pp. 110824. Date of Electronic Publication: 2025 Jul 28.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2025.110824