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Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imaging.
Wang, Yaning; Tiusaba, Laura; Jacobs, Shimon; Saruwatari, Michele; Ning, Bo; Levitt, Marc; Sandler, Anthony D; Nam, So-Hyun; Kang, Jin U; Cha, Jaepyeong.
Afiliación
  • Wang Y; Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States.
  • Tiusaba L; Children's National Hospital, Division of Colorectal and Pelvic Reconstruction, Washington, District of Columbia, United States.
  • Jacobs S; Children's National Hospital, Division of Colorectal and Pelvic Reconstruction, Washington, District of Columbia, United States.
  • Saruwatari M; Children's National Hospital, Sheikh Zayed Surgical Institute, Washington, District of Columbia, United States.
  • Ning B; Children's National Hospital, Sheikh Zayed Surgical Institute, Washington, District of Columbia, United States.
  • Levitt M; Children's National Hospital, Division of Colorectal and Pelvic Reconstruction, Washington, District of Columbia, United States.
  • Sandler AD; Children's National Hospital, Sheikh Zayed Surgical Institute, Washington, District of Columbia, United States.
  • Nam SH; Dong-A University Medical Center, Department of Surgery, Busan, Republic of Korea.
  • Kang JU; Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States.
  • Cha J; Children's National Hospital, Sheikh Zayed Surgical Institute, Washington, District of Columbia, United States.
J Med Imaging (Bellingham) ; 9(6): 064502, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36466077
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: J Med Imaging (Bellingham) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: J Med Imaging (Bellingham) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos