research
∙
11/17/2022
BAyesian Bent-Line Regression model for longitudinal data with an application to the study of cognitive performance trajectories in Wisconsin Registry for Alzheimer's Preventio
Preclinical Alzheimer's disease (AD), the earliest stage in the AD conti...
share
research
∙
10/11/2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
Conventional and deep learning-based methods have shown great potential ...
research
∙
08/12/2020
Online Graph Completion: Multivariate Signal Recovery in Computer Vision
The adoption of "human-in-the-loop" paradigms in computer vision and mac...
research
∙
08/21/2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
Positron emission tomography (PET) imaging is an imaging modality for di...
research
∙
11/20/2017
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Recent results in coupled or temporal graphical models offer schemes for...
research
∙
09/02/2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications
Many studies in biomedical and health sciences involve small sample size...
research
∙
05/16/2017
The Incremental Multiresolution Matrix Factorization Algorithm
Multiresolution analysis and matrix factorization are foundational tools...
research
∙
03/04/2017
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM
Permutation testing is a non-parametric method for obtaining the max nul...
research
∙
02/12/2015