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Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease.
Hilbert, Adam; Rieger, Jana; Madai, Vince I; Akay, Ela M; Aydin, Orhun U; Behland, Jonas; Khalil, Ahmed A; Galinovic, Ivana; Sobesky, Jan; Fiebach, Jochen; Livne, Michelle; Frey, Dietmar.
Affiliation
  • Hilbert A; Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Rieger J; Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Madai VI; Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Akay EM; Quality | Ethics | Open Science | Translation Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Aydin OU; Faculty of Computing, Engineering and the Built Environment, School of Computing and Digital Technology, Birmingham City University, Birmingham, United Kingdom.
  • Behland J; Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Khalil AA; Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Galinovic I; Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Sobesky J; Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Fiebach J; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Livne M; Mind, Brain, Body Institute, Berlin School of Mind and Brain, Humboldt-Universität Berlin, Berlin, Germany.
  • Frey D; Biomedical Innovation Academy, Berlin Institute of Health, Berlin, Germany.
Front Neurol ; 13: 1000914, 2022.
Article de En | MEDLINE | ID: mdl-36341105
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Guideline / Prognostic_studies / Qualitative_research Langue: En Journal: Front Neurol Année: 2022 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Suisse
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Guideline / Prognostic_studies / Qualitative_research Langue: En Journal: Front Neurol Année: 2022 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Suisse