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10/08/2019
Bias-Resilient Neural Network
Presence of bias and confounding effects is inarguably one of the most c...
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07/30/2019
Confounder-Aware Visualization of ConvNets
With recent advances in deep learning, neuroimaging studies increasingly...
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04/11/2019
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
While unsupervised variational autoencoders (VAE) have become a powerful...
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02/11/2019
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Resting-state functional connectivity states are often identified as clu...
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10/01/2018
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
As shown in computer vision, the power of deep learning lies in automati...
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01/22/2015
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models
Segmentation is a fundamental task for extracting semantically meaningfu...
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08/24/2012
