Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification
Published 2020 View Full Article
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Title
Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification
Authors
Keywords
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Journal
BRAIN
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-04-09
DOI
10.1093/brain/awaa137
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- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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- (2016) Philip Scheltens et al. LANCET
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- (2016) Davide Castelvecchi NATURE
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- (2015) Yann LeCun et al. NATURE
- The Framingham Brain Donation Program: Neuropathology Along the Cognitive Continuum
- (2013) Rhoda Au et al. Current Alzheimer Research
- An algorithmic approach to structural imaging in dementia
- (2013) L. Harper et al. JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
- Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers
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- Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010
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- (2012) Jennifer L Whitwell et al. LANCET NEUROLOGY
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- The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Guy M. McKhann et al. Alzheimers & Dementia
- Effectiveness and Safety of 18F-FDG PET in the Evaluation of Dementia: A Review of the Recent Literature
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- (2009) C. A. Raji et al. NEUROLOGY
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