Deep learning-based identification of aberrant anterior tibial artery on knee MRI: a brazilian multicenter study.

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Bibliographic Details
Title: Deep learning-based identification of aberrant anterior tibial artery on knee MRI: a brazilian multicenter study.
Authors: Aihara AY; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Division of Radiology, Delboni Medicina Diagnóstica, DASA, São Paulo, Brazil., Pereira de Barros C; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil. cassiano.barros.cc@gmail.com.; Department of Evidence-Based Medicine, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil. cassiano.barros.cc@gmail.com.; Hapvida Notredame Intermédica, São Paulo, Brazil. cassiano.barros.cc@gmail.com., Kase DT; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Division of Radiology, Delboni Medicina Diagnóstica, DASA, São Paulo, Brazil., Aihara A; Faculdade de Ciências Médicas, Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil., Júdice de Mattos Farina EM; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil., do Amaral E Castro A; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Hospital Israelita Albert Einstein, São Paulo, Brazil., de Tarso Kawakami Perez P; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Department of Radiology, Fleury Medicina E Saúde, São Paulo, Brazil., Ribeiro de Medeiros L; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Division of Radiology, Delboni Medicina Diagnóstica, DASA, São Paulo, Brazil.; Hospital Israelita Albert Einstein, São Paulo, Brazil., Tsuji LK; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Division of Radiology, Delboni Medicina Diagnóstica, DASA, São Paulo, Brazil., de Lima Augusto AC; Division of Radiology, Delboni Medicina Diagnóstica, DASA, São Paulo, Brazil., Rodrigues ACO; Division of Radiology, Delboni Medicina Diagnóstica, DASA, São Paulo, Brazil.; Division of Musculoskeletal Radiology, Rede Dor, São Paulo, Brazil., Campos Kitamura F; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.; Eden, Palo Alto, CA, USA., Abdala N; Graduate Program in Medicine (Clinical Radiology), Imaging Diagnosis Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Source: Skeletal radiology [Skeletal Radiol] 2026 Jul; Vol. 55 (7), pp. 1617-1625. Date of Electronic Publication: 2026 Mar 23.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7701953 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2161 (Electronic) Linking ISSN: 03642348 NLM ISO Abbreviation: Skeletal Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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