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MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms.
Lamm, Lorenz; Righetto, Ricardo D; Wietrzynski, Wojciech; Pöge, Matthias; Martinez-Sanchez, Antonio; Peng, Tingying; Engel, Benjamin D.
Afiliación
  • Lamm L; Helmholtz Pioneer Campus, Helmholtz Munich, 85764, Neuherberg, Germany; Helmholtz AI, Helmholtz Munich, 85764, Neuherberg, Germany.
  • Righetto RD; Helmholtz Pioneer Campus, Helmholtz Munich, 85764, Neuherberg, Germany; Biozentrum, University of Basel, 4056, Basel, Switzerland.
  • Wietrzynski W; Helmholtz Pioneer Campus, Helmholtz Munich, 85764, Neuherberg, Germany; Biozentrum, University of Basel, 4056, Basel, Switzerland.
  • Pöge M; Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.
  • Martinez-Sanchez A; Department of Computer Science, Faculty of Sciences - Campus Llamaquique, University of Oviedo, 33007, Oviedo, Spain; Health Research Institute of Asturias (ISPA), Avenida Hospital Universitario s/n, 33011, Oviedo, Spain.
  • Peng T; Helmholtz AI, Helmholtz Munich, 85764, Neuherberg, Germany. Electronic address: tingying.peng@helmholtz-muenchen.de.
  • Engel BD; Helmholtz Pioneer Campus, Helmholtz Munich, 85764, Neuherberg, Germany; Biozentrum, University of Basel, 4056, Basel, Switzerland. Electronic address: ben.engel@unibas.ch.
Comput Methods Programs Biomed ; 224: 106990, 2022 Sep.
Article en En | MEDLINE | ID: mdl-35858496

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Irlanda

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Irlanda