Your browser doesn't support javascript.
loading
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study.
Vollmuth, Philipp; Foltyn, Martha; Huang, Raymond Y; Galldiks, Norbert; Petersen, Jens; Isensee, Fabian; van den Bent, Martin J; Barkhof, Frederik; Park, Ji Eun; Park, Yae Won; Ahn, Sung Soo; Brugnara, Gianluca; Meredig, Hagen; Jain, Rajan; Smits, Marion; Pope, Whitney B; Maier-Hein, Klaus; Weller, Michael; Wen, Patrick Y; Wick, Wolfgang; Bendszus, Martin.
Afiliação
  • Vollmuth P; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Foltyn M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Huang RY; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Galldiks N; Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Petersen J; Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.
  • Isensee F; Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.
  • van den Bent MJ; Department of Medical Image Computing (MIC), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Barkhof F; Department of Medical Image Computing (MIC), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Park JE; Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • Park YW; Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
  • Ahn SS; Institutes of Neurology & Centre for Medical Image Computing, University College London, London, UK.
  • Brugnara G; Department of Radiology and Research Institute of Radiology, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Meredig H; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jain R; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Smits M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Pope WB; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Maier-Hein K; Department of Radiology, New York University School of Medicine, New York, New York, USA.
  • Weller M; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands.
  • Wen PY; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
  • Wick W; Department of Medical Image Computing (MIC), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bendszus M; Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.
Neuro Oncol ; 25(3): 533-543, 2023 03 14.
Article em En | MEDLINE | ID: mdl-35917833
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma / Glioma Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma / Glioma Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article