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Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.
Lang, Yankun; Lian, Chunfeng; Xiao, Deqiang; Deng, Hannah; Yuan, Peng; Gateno, Jaime; Shen, Steve G F; Alfi, David M; Yap, Pew-Thian; Xia, James J; Shen, Dinggang.
Afiliación
  • Lang Y; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Lian C; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Xiao D; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Deng H; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
  • Yuan P; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
  • Gateno J; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
  • Shen SGF; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, Ithaca, NY, USA.
  • Alfi DM; Department of Oral and Craniofacial Surgery, Shanghai 9th Hospital, Shanghai Jiaotong University College of Medicine, Shanghai, China.
  • Yap PT; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
  • Xia JJ; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, Ithaca, NY, USA.
  • Shen D; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Med Image Comput Comput Assist Interv ; 12264: 817-826, 2020 Oct.
Article en En | MEDLINE | ID: mdl-34927175
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos