Automated Deep Learning-based Segmentation of the Dentate Nucleus Using Quantitative Susceptibility Mapping MRI.

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Bibliographic Details
Title: Automated Deep Learning-based Segmentation of the Dentate Nucleus Using Quantitative Susceptibility Mapping MRI.
Authors: Shiraishi DH; Department of Neurology, School of Medical Sciences, University of Campinas (Unicamp), Rua Vital Brasil, 89-99, Cidade Universitária 'Zeferino Vaz', Campinas, São Paulo, Brazil 13083-888., Saha S; School of Psychological Sciences, The Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia.; Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Australia., Adanyeguh IM; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn., Cocozza S; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy., Corben LA; School of Psychological Sciences, The Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia.; Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Parkville, Australia.; Department of Paediatrics, University of Melbourne, Parkville, Australia., Deistung A; University Clinic and Outpatient Clinic for Radiology, Department for Radiation Medicine, University Hospital Halle (Saale), University Medicine Halle, Halle (Saale), Germany.; Halle MR Imaging Core Facility, Medical Faculty, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Delatycki MB; Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Parkville, Australia., Dogan I; Department of Neurology, RWTH Aachen University, Aachen, Germany.; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany., Gaetz W; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa., Georgiou-Karistianis N; School of Psychological Sciences, The Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia., Graf S; University Clinic and Outpatient Clinic for Radiology, Department for Radiation Medicine, University Hospital Halle (Saale), University Medicine Halle, Halle (Saale), Germany., Grisoli M; Department of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy., Henry PG; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn., Jarola GM; Department of Neurology, School of Medical Sciences, University of Campinas (Unicamp), Rua Vital Brasil, 89-99, Cidade Universitária 'Zeferino Vaz', Campinas, São Paulo, Brazil 13083-888., Joers JM; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn., Langkammer C; Department of Neurology, Medical University of Graz, Graz, Austria., Lenglet C; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn., Li J; Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, Minn., Lobo CC; Department of Neurology, School of Medical Sciences, University of Campinas (Unicamp), Rua Vital Brasil, 89-99, Cidade Universitária 'Zeferino Vaz', Campinas, São Paulo, Brazil 13083-888., Lock EF; Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, Minn., Lynch DR; Department of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pa., Mareci TH; Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Fla., Martinez ARM; Department of Neurology, School of Medical Sciences, University of Campinas (Unicamp), Rua Vital Brasil, 89-99, Cidade Universitária 'Zeferino Vaz', Campinas, São Paulo, Brazil 13083-888., Monti S; Institute of Biostructures and Bioimaging, Italian National Research Council, Naples, Italy., Nigri A; Department of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy., Pandolfo M; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Reetz K; Department of Neurology, RWTH Aachen University, Aachen, Germany.; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany., Roberts TP; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa., Romanzetti S; Department of Neurology, RWTH Aachen University, Aachen, Germany., Rudko DA; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.; McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, Canada.; Department of Biomedical Engineering, McGill University, Montreal, Canada., Scaravilli A; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy., Schulz JB; Department of Neurology, RWTH Aachen University, Aachen, Germany.; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany., Subramony SH; Department of Neurology and the Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Fla., Timmann D; Department of Neurology and Center for Translational and Behavioral Neuroscience (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany., França MC; Department of Neurology, School of Medical Sciences, University of Campinas (Unicamp), Rua Vital Brasil, 89-99, Cidade Universitária 'Zeferino Vaz', Campinas, São Paulo, Brazil 13083-888., Harding IH; QIMR Berghofer Medical Research Institute, Brisbane, Australia.; School of Translational Medicine, Monash University, Melbourne, Australia., Rezende TJR; Department of Neurology, School of Medical Sciences, University of Campinas (Unicamp), Rua Vital Brasil, 89-99, Cidade Universitária 'Zeferino Vaz', Campinas, São Paulo, Brazil 13083-888.; Paulo Gontijo Institute, São Paulo, Brazil.
Corporate Authors: TRACK-FA Neuroimaging Consortium
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2025 Nov; Vol. 7 (6), pp. e240478.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2638-6100
DOI:10.1148/ryai.240478