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08/24/2023
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis
Resting-state functional MRI (rs-fMRI) is increasingly employed in multi...
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08/20/2023
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification
Resting-state functional magnetic resonance imaging (rs-fMRI) offers a n...
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06/24/2023
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflec...
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06/20/2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI
Brain structural MRI has been widely used to assess the future progressi...
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06/09/2023
Federated Learning for Medical Image Analysis: A Survey
Machine learning in medical imaging often faces a fundamental dilemma, n...
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12/31/2022
Source-Free Unsupervised Domain Adaptation: A Survey
Unsupervised domain adaptation (UDA) via deep learning has attracted app...
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12/24/2022
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
Late-life depression (LLD) is a highly prevalent mood disorder occurring...
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09/24/2022
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis
Domain adaptation (DA) is an important technique for modern machine lear...
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06/24/2022
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI
Subjective cognitive decline (SCD) is a preclinical stage of Alzheimer's...
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02/18/2021
Domain Adaptation for Medical Image Analysis: A Survey
Machine learning techniques used in computer-aided medical image analysi...
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05/10/2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Deep learning has been recently used for the analysis of neuroimages, su...
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02/20/2020
Nyström Subspace Learning for Large-scale SVMs
As an implementation of the Nyström method, Nyström computational regula...
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06/17/2019