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07/06/2023
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition
Recently, physiological data such as electroencephalography (EEG) signal...
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07/02/2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Deep unrolling is an emerging deep learning-based image reconstruction m...
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03/05/2021
Online Graph Learning under Smoothness Priors
The growing success of graph signal processing (GSP) approaches relies h...
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10/21/2020
A statistical framework for model-based inverse problems in ultrasound elastography
Model-based computational elasticity imaging of tissues can be posed as ...
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10/21/2019
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task
Resting-state brain networks represent the intrinsic state of the brain ...
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01/08/2019
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images
Data driven segmentation is an important initial step of shape prior-bas...
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09/03/2018
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors
In this paper, we propose an efficient pseudo-marginal Markov chain Mont...
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12/27/2016
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces
A brain-computer interface (BCI) is a system that aims for establishing ...
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11/11/2016
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors
Segmenting images of low quality or with missing data is a challenging p...
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06/24/2016