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Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs.
Bayat, Amirhossein; Pace, Danielle F; Sekuboyina, Anjany; Payer, Christian; Stern, Darko; Urschler, Martin; Kirschke, Jan S; Menze, Bjoern H.
Afiliação
  • Bayat A; Department of Computer Science, Technical University of Munich, 85748 Garching, Germany.
  • Pace DF; Department of Neuroradiology, Klinikum rech der Isar, 81675 Munich, Germany.
  • Sekuboyina A; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Payer C; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
  • Stern D; Department of Computer Science, Technical University of Munich, 85748 Garching, Germany.
  • Urschler M; Department of Neuroradiology, Klinikum rech der Isar, 81675 Munich, Germany.
  • Kirschke JS; Department of Quantitative Biomedicine, University of Zurich, 8006 Zurich, Switzerland.
  • Menze BH; Institute of Computer Graphics and Vision, Graz University of Technology, 8010 Graz, Austria.
Tomography ; 8(1): 479-496, 2022 02 11.
Article em En | MEDLINE | ID: mdl-35202204
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coluna Vertebral / Posição Ortostática Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coluna Vertebral / Posição Ortostática Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article