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Found 3 papers, 2 papers with code
A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates
In this study, we propose a deformation-based morphometry framework to estimate normal aging and AD-specific atrophy patterns of subjects from morphological MRI scans.
Generative Aging of Brain Images with Diffeomorphic Registration
Analyzing and predicting brain aging is essential for early prognosis and accurate diagnosis of cognitive diseases.
Adversarial Transfer Learning for Cross-domain Visual Recognition
To address the problems of visual domain mismatch, we propose a novel semi-supervised adversarial transfer learning approach, which is called Coupled adversarial transfer Domain Adaptation (CatDA), for distribution alignment between two domains.
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