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Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration.
Grupp, Robert B; Unberath, Mathias; Gao, Cong; Hegeman, Rachel A; Murphy, Ryan J; Alexander, Clayton P; Otake, Yoshito; McArthur, Benjamin A; Armand, Mehran; Taylor, Russell H.
  • Grupp RB; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA. grupp@jhu.edu.
  • Unberath M; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
  • Gao C; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
  • Hegeman RA; Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
  • Murphy RJ; Auris Health, Inc., Redwood City, CA, USA.
  • Alexander CP; Department of Orthopaedic Surgery, Johns Hopkins Medicine, Baltimore, MD, USA.
  • Otake Y; Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan.
  • McArthur BA; Department of Surgery and Perioperative Care, Dell Medical School, University of Texas, Austin, TX, USA.
  • Armand M; Texas Orthopedics, Austin, TX, USA.
  • Taylor RH; Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Int J Comput Assist Radiol Surg ; 15(5): 759-769, 2020 May.
Article en En | MEDLINE | ID: mdl-32333361
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pelvis / Fluoroscopía / Fémur Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pelvis / Fluoroscopía / Fémur Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article