Article

Longitudinal Structural MRI Data Prediction in Nondemented and Demented Older Adults via Generative Adversarial Convolutional Network

2020-12-09

Abstract excerpt

Alzheimer’s disease (AD) is the most common cause of dementia and threatens the health of millions of people. Early stage diagnosis of AD is critical for improving clinical outcomes and longitudinal magnetic resonance imaging (MRI) data collection can be used to monitor the progress of each patient. However, missing data is a common problem in longitudinal AD studies. The main factors come from subject dropouts an...

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Literature Corpus work: 0f631c83-6f8d-59eb-bb4e-6b2ac45569ee
DOI: 10.21203/rs.3.rs-116872/v1

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