An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature.

Saved in:
Bibliographic Details
Title: An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature.
Authors: Ribeiro FL; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia. fernanda.ribeiro@uq.edu.au., Zhu X; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia.; Griffith School of Medicine and Dentistry, Brisbane, Queensland, Australia., Ye X; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia., Tu S; Neuroscience Research Australia, Sydney, NSW, Australia.; Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia., Ngo ST; Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.; Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia., Henderson RD; Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.; University of Queensland Centre for Clinical Research, Brisbane, Queensland, Australia., Steyn FJ; Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.; School of Biomedical Sciences, The University of Queensland, Brisbane, Queensland, Australia., Kiernan MC; Neuroscience Research Australia, Sydney, NSW, Australia.; Scientia Professor of Neuroscience, The University of New South Wales, Sydney, NSW, Australia.; Department of Neurology, Southeastern Sydney Local Health District, Sydney, NSW, Australia., Barth M; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia.; Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.; Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.; ARC Training Centre for Innovation in Biomedical Imaging and Technology (CIBIT), Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia., Bollmann S; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia.; ARC Training Centre for Innovation in Biomedical Imaging and Technology (CIBIT), Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia.; Queensland Digital Health Centre (QDHeC), The University of Queensland, Brisbane, Queensland, Australia., Shaw TB; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia. t.shaw@uq.edu.au.; Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia. t.shaw@uq.edu.au.; Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia. t.shaw@uq.edu.au.
Source: Scientific data [Sci Data] 2025 May 14; Vol. 12 (1), pp. 790. Date of Electronic Publication: 2025 May 14.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first