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Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging.
Moore, Stephen M; Quirk, James D; Lassiter, Andrew W; Laforest, Richard; Ayers, Gregory D; Badea, Cristian T; Fedorov, Andriy Y; Kinahan, Paul E; Holbrook, Matthew; Larson, Peder E Z; Sriram, Renuka; Chenevert, Thomas L; Malyarenko, Dariya; Kurhanewicz, John; Houghton, A McGarry; Ross, Brian D; Pickup, Stephen; Gee, James C; Zhou, Rong; Gammon, Seth T; Manning, Henry Charles; Roudi, Raheleh; Daldrup-Link, Heike E; Lewis, Michael T; Rubin, Daniel L; Yankeelov, Thomas E; Shoghi, Kooresh I.
Afiliação
  • Moore SM; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Quirk JD; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Lassiter AW; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Laforest R; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ayers GD; Department of Biostatistics, Vanderbilt University, Nashville, TN 37235, USA.
  • Badea CT; Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University, Durham, NC 27708, USA.
  • Fedorov AY; Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Kinahan PE; Department of Radiology, University of Washington, Seattle, WA 98195, USA.
  • Holbrook M; Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University, Durham, NC 27708, USA.
  • Larson PEZ; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
  • Sriram R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
  • Chenevert TL; Department of Radiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Malyarenko D; Department of Radiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Kurhanewicz J; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
  • Houghton AM; Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
  • Ross BD; Department of Radiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Pickup S; Department of Radiology, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Gee JC; Department of Radiology, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Zhou R; Department of Radiology, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Gammon ST; Department of Cancer Systems Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Manning HC; Department of Cancer Systems Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Roudi R; Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Daldrup-Link HE; Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Lewis MT; Dan L Duncan Comprehensive Cancer Center, Departments of Molecular and Cellular Biology and Radiology, Baylor College of Medicine, Houston, TX 77030, USA.
  • Rubin DL; Departments of Biomedical Data Science, Radiology and Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Yankeelov TE; Departments of Biomedical Engineering, Diagnostic Medicine and Oncology, Oden Institute for Computational and Engineering Sciences, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
  • Shoghi KI; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Tomography ; 9(3): 995-1009, 2023 05 11.
Article em En | MEDLINE | ID: mdl-37218941
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metadados / Neoplasias Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Tomography Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metadados / Neoplasias Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Tomography Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos