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10/26/2022
High-dimensional Measurement Error Models for Lipschitz Loss
Recently emerging large-scale biomedical data pose exciting opportunitie...
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10/07/2022
Evaluating the Performance of StyleGAN2-ADA on Medical Images
Although generative adversarial networks (GANs) have shown promise in me...
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05/24/2022
Flexible Bayesian Support Vector Machines for Brain Network-based Classification
Objective: Brain networks have gained increasing recognition as potentia...
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11/16/2021
Non-parametric Bayesian Vector Autoregression using Multi-subject Data
There has been a rich development of vector autoregressive (VAR) models ...
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05/24/2021
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
There is increasing evidence on the importance of brain morphology in pr...
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03/04/2021
Multi-task Learning with High-Dimensional Noisy Images
Recent medical imaging studies have given rise to distinct but inter-rel...
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01/14/2021
Integrative Learning for Population of Dynamic Networks with Covariates
Although there is a rapidly growing literature on dynamic connectivity m...
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10/09/2019
Semi-parametric Bayes Regression with Network Valued Covariates
There is an increasing recognition of the role of brain networks as neur...
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10/07/2019
Dynamic Brain Functional Networks Guided By Anatomical Knowledge
Recently, the potential of dynamic brain networks as a neuroimaging biom...
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09/28/2018
A Differential Degree Test for Comparing Brain Networks
Recently, graph theory has become a popular method for characterizing br...
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02/21/2018