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Deep Generative Medical Image Harmonization for Improving Cross-Site Generalization in Deep Learning Predictors.
Bashyam, Vishnu M; Doshi, Jimit; Erus, Guray; Srinivasan, Dhivya; Abdulkadir, Ahmed; Singh, Ashish; Habes, Mohamad; Fan, Yong; Masters, Colin L; Maruff, Paul; Zhuo, Chuanjun; Völzke, Henry; Johnson, Sterling C; Fripp, Jurgen; Koutsouleris, Nikolaos; Satterthwaite, Theodore D; Wolf, Daniel H; Gur, Raquel E; Gur, Ruben C; Morris, John C; Albert, Marilyn S; Grabe, Hans J; Resnick, Susan M; Bryan, Nick R; Wittfeld, Katharina; Bülow, Robin; Wolk, David A; Shou, Haochang; Nasrallah, Ilya M; Davatzikos, Christos.
  • Bashyam VM; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Doshi J; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Erus G; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Srinivasan D; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Abdulkadir A; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Singh A; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Habes M; Biggs Alzheimer's Institute, University of Texas San Antonio Health Science Center, San Antonio, Texas, USA.
  • Fan Y; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Masters CL; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.
  • Maruff P; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.
  • Zhuo C; Tianjin Mental Health Center, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China.
  • Völzke H; Department of Psychiatry, Tianjin Medical University, Tianjin, China.
  • Johnson SC; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Fripp J; German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald, Germany.
  • Koutsouleris N; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Satterthwaite TD; CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, Queensland, Australia.
  • Wolf DH; Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany.
  • Gur RE; Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Gur RC; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Morris JC; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Albert MS; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Grabe HJ; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Resnick SM; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Bryan NR; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Wittfeld K; Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Bülow R; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Wolk DA; Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
  • Shou H; German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany.
  • Nasrallah IM; Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, USA.
  • Davatzikos C; Department of Diagnostic Medicine, University of Texas at Austin, Austin, Texas, USA.
J Magn Reson Imaging ; 55(3): 908-916, 2022 03.
Article en En | MEDLINE | ID: mdl-34564904
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Año: 2022 Tipo del documento: Article