Your browser doesn't support javascript.
loading
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.
Nickel, F; Studier-Fischer, A; Özdemir, B; Odenthal, J; Müller, L R; Knoedler, S; Kowalewski, K F; Camplisson, I; Allers, M M; Dietrich, M; Schmidt, K; Salg, G A; Kenngott, H G; Billeter, A T; Gockel, I; Sagiv, C; Hadar, O E; Gildenblat, J; Ayala, L; Seidlitz, S; Maier-Hein, L; Müller-Stich, B P.
Afiliación
  • Nickel F; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany.
  • Studier-Fischer A; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; School of Medicine, Heidelberg University, Heidelberg, Germany.
  • Özdemir B; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Odenthal J; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Müller LR; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg,
  • Knoedler S; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Kowalewski KF; Department of Urology, Medical Faculty of Mannheim at the University of Heidelberg, Mannheim, Germany.
  • Camplisson I; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA.
  • Allers MM; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Dietrich M; Department of Anaesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Schmidt K; Department of Anaesthesiology and Intensive Care Medicine, Essen University Hospital, Essen, Germany.
  • Salg GA; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Kenngott HG; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Billeter AT; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Gockel I; Department of Visceral, Transplantation, Thoracic and Vascular Surgery, Leipzig University Hospital, Leipzig, Germany.
  • Sagiv C; DeePathology Ltd., Ra'anana, Israel.
  • Hadar OE; DeePathology Ltd., Ra'anana, Israel.
  • Gildenblat J; DeePathology Ltd., Ra'anana, Israel.
  • Ayala L; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Seidlitz S; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Maier-Hein L; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg,
  • Müller-Stich BP; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany. Electronic address: beat.mueller@clarunis.ch.
Eur J Surg Oncol ; 2023 Apr 18.
Article en En | MEDLINE | ID: mdl-37105869
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur J Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur J Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Alemania