214 citations · 255 across the 8 of their papers we have counts for
8 papers
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation
Xuan Kan, Hejie Cui, Joshua Lukemire +2
Functional magnetic resonance imaging (fMRI) is one of the most common imaging modalities to investigate brain functions. Recent studies in neuroscience stress the great potential…
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu +7
Mapping the connectome of the human brain using structural or functional connectivity has become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph Neur…
Flexible Bayesian Product Mixture Models for Vector Autoregressions
Suprateek Kundu, Joshua Lukemire
Bayesian non-parametric methods based on Dirichlet process mixtures have seen tremendous success in various domains and are appealing in being able to borrow information by cluster…
Statistical Analysis of Complex Computer Models in Astronomy
Joshua Lukemire, Qian Xiao, Abhyuday Mandal +1
We introduce statistical techniques required to handle complex computer models with potential applications to astronomy. Computer experiments play a critical role in almost all fie…
A-ComVar: A Flexible Extension of Common Variance Design
Shrabanti Chowdhury, Joshua Lukemire, Abhyuday Mandal
We consider nonregular fractions of factorial experiments for a class of linear models. These models have a common general mean and main effects, however they may have different 2-…
HINT: A Hierarchical Independent Component Analysis Toolbox for Investigating Brain Functional Networks using Neuroimaging Data
Joshua Lukemire, Yikai Wang, Amit Verma +1
Independent component analysis (ICA) is a popular tool for investigating brain organization in neuroscience research. In fMRI studies, an important goal is to study how brain netwo…
Bayesian Joint Modeling of Multiple Brain Functional Networks
Joshua Lukemire, Suprateek Kundu, Giuseppe Pagnoni +1
Brain function is organized in coordinated modes of spatio-temporal activity (functional networks) exhibiting an intrinsic baseline structure with variations under different experi…
Using particle swarm optimization to search for locally -optimal designs for mixed factor experiments with binary response
Joshua Lukemire, Abhyuday Mandal, Weng Kee Wong
Identifying optimal designs for generalized linear models with a binary response can be a challenging task, especially when there are both continuous and discrete independent facto…