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Article
Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease
Tensor-based representations are being increasingly used to represent complex data types such as imaging data, due to their appealing properties such as dimension reduction and the preservation of spatial info...
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Article
Functional lumen imaging probe topography identifies patients with normal acid exposure and esophageal hypervigilance amongst proton-pump inhibitor non-responders
Multiple factors contribute to symptom generation and treatment response in proton-pump inhibitor non-responders (PPI-NRs). We aimed to test whether PPI-NRs with normal acid exposure have a higher degree of es...
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Article
Semi-parametric Bayes regression with network-valued covariates
Although there has been an explosive rise in network data in a variety of disciplines, there is very limited development of regression modeling approaches based on high-dimensional networks. The scarce literat...
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Chapter and Conference Paper
Evaluating the Performance of StyleGAN2-ADA on Medical Images
Although generative adversarial networks (GANs) have shown promise in medical imaging, they have four main limitations that impede their utility: computational cost, data requirements, reliable evaluation meas...
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Chapter
Prediction of Functional Markers of Mass Cytometry Data via Deep Learning
Recently, there has been an increasing interest in the analysis of flow cytometry data, which involves measurements of a set of surface and functional markers across hundreds and thousands of cells. These meas...
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Article
Open AccessA Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data
There is well-documented evidence of brain network differences between individuals with Alzheimer’s disease (AD) and healthy controls (HC). To date, imaging studies investigating brain networks in these popula...
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Article
Emergency department imaging superusers
To identify and characterize the most frequent users of emergency department (ED) imaging.
