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Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning.
Zhou, Xiao; Qiu, Shangran; Joshi, Prajakta S; Xue, Chonghua; Killiany, Ronald J; Mian, Asim Z; Chin, Sang P; Au, Rhoda; Kolachalama, Vijaya B.
Affiliation
  • Zhou X; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 E. Concord Street, Evans 636, Boston, MA, 02118, USA.
  • Qiu S; Department of Computer Science, College of Arts & Sciences, Boston University, Boston, MA, USA.
  • Joshi PS; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 E. Concord Street, Evans 636, Boston, MA, 02118, USA.
  • Xue C; Department of Physics, College of Arts & Sciences, Boston University, Boston, MA, USA.
  • Killiany RJ; Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.
  • Mian AZ; Department of General Dentistry, Boston University School of Dental Medicine, Boston, MA, USA.
  • Chin SP; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, 72 E. Concord Street, Evans 636, Boston, MA, 02118, USA.
  • Au R; Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.
  • Kolachalama VB; Department of Radiology, Boston University School of Medicine, Boston, MA, USA.
Alzheimers Res Ther ; 13(1): 60, 2021 03 14.
Article in En | MEDLINE | ID: mdl-33715635

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Oceania Language: En Journal: Alzheimers Res Ther Year: 2021 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Oceania Language: En Journal: Alzheimers Res Ther Year: 2021 Document type: Article Affiliation country: United States Country of publication: United kingdom