Whole anterior visual pathway segmentation from high-resolution MRI using artificial intelligence.
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| Title: | Whole anterior visual pathway segmentation from high-resolution MRI using artificial intelligence. |
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| Authors: | Diociasi A; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, Italy.; Department of Internal Medicine (DIMI), University of Genova, Genova, Italy., Pravatà E; Department of Neuroscience, Imaging and Clinical Sciences, Centro I.T.A.B., Università degli Studi G. D'Annunzio di Chieti-Pescara, Chieti, Italy. emanuele.pravata@unich.it.; Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland. emanuele.pravata@unich.it., Carmisciano L; Department of Health Sciences, Section of Biostatistics, University of Genova, Genova, Italy., Kiersnowski OC; IRCCS Ospedale Policlinico San Martino, Genova, Italy., Michele I; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, Italy.; IRCCS Ospedale Policlinico San Martino, Genova, Italy., Gunnewiek KK; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands., Lorenzini L; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, Italy.; Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, The Netherlands., Gualco L; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, Italy.; Radiology Unit, Santi Antonio e Biagio e Cesare Arrigo University Hospital, Alessandria, Italy., Pardini M; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, Italy.; IRCCS Ospedale Policlinico San Martino, Genova, Italy., Roccatagliata L; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genova, Genova, Italy.; Department of Health Sciences, Section of Biostatistics, University of Genova, Genova, Italy., Zecca C; Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland.; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland., Gobbi C; Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland.; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland., Guidotti R; Department of Neuroscience, Imaging and Clinical Sciences, Centro I.T.A.B., Università degli Studi G. D'Annunzio di Chieti-Pescara, Chieti, Italy., Chincarini A; Istituto Nazionale di Fisica Nucleare, Genova, Italy. |
| Source: | European radiology experimental [Eur Radiol Exp] 2026 Jun 05; Vol. 10 (1). Date of Electronic Publication: 2026 Jun 05. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2509-9280 |
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| DOI: | 10.1186/s41747-026-00741-y |
