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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.
Robben, David; Boers, Anna M M; Marquering, Henk A; Langezaal, Lucianne L C M; Roos, Yvo B W E M; van Oostenbrugge, Robert J; van Zwam, Wim H; Dippel, Diederik W J; Majoie, Charles B L M; van der Lugt, Aad; Lemmens, Robin; Suetens, Paul.
Afiliación
  • Robben D; Medical Imaging Research Center (MIRC), KU Leuven, Leuven, Belgium; Medical Image Computing (MIC), ESAT-PSI, Department of Electrical Engineering, KU Leuven, Leuven, Belgium; Icometrix, Leuven, Belgium. Electronic address: david.robben@kuleuven.be.
  • Boers AMM; Amsterdam UMC, Amsterdam, the Netherlands.
  • Marquering HA; Amsterdam UMC, Amsterdam, the Netherlands.
  • Langezaal LLCM; St. Antonius Ziekenhuis, Nieuwegein, the Netherlands.
  • Roos YBWEM; Amsterdam UMC, Amsterdam, the Netherlands.
  • van Oostenbrugge RJ; Maastricht UMC, Maastricht, the Netherlands.
  • van Zwam WH; Maastricht UMC, Maastricht, the Netherlands.
  • Dippel DWJ; Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
  • Majoie CBLM; Department of Radiology and Nuclear Medicine Amsterdam UMC, location AMC, Amsterdam, the Netherlands.
  • van der Lugt A; Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
  • Lemmens R; Department of Neurosciences, Experimental Neurology, and Leuven Brain Institute (LBI), KU Leuven - University of Leuven, Leuven, Belgium; VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium; University Hospitals Leuven, Department of Neurology, Leuven, Belgium.
  • Suetens P; Medical Imaging Research Center (MIRC), KU Leuven, Leuven, Belgium; Medical Image Computing (MIC), ESAT-PSI, Department of Electrical Engineering, KU Leuven, Leuven, Belgium.
Med Image Anal ; 59: 101589, 2020 01.
Article en En | MEDLINE | ID: mdl-31683091
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Infarto Cerebral / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Infarto Cerebral / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article