Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge. - Ixavier A. Higgins; Suprateek Kundu; Ying Guo 003 (NeuroImage, 2018)

Estimating dynamic brain functional networks using multi-subject fMRI data. - Suprateek Kundu; Jin Ming; Jordan E. Pierce; Jennifer E. McDowell; Ying Guo 003 (NeuroImage, 2018)

Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications. - Suprateek Kundu; Shan Suthaharan (BigDataSecurity/HPSC/IDS, 2019)

Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker. - Suprateek Kundu; Jin Ming; Jennifer S. Stevens (Brain Connect., 2021)

Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD. - Yuexuan Wu; Suprateek Kundu; Jennifer S. Stevens; Negar Fani; Anuj Srivastava (CoRR, 2021)

Integrative learning for population of dynamic networks with covariates. - Suprateek Kundu; Jin Ming; Joe Nocera; Keith M. McGregor (NeuroImage, 2021)

Evaluating the Performance of StyleGAN2-ADA on Medical Images. - McKell Woodland; John Wood; Brian M. Anderson; Suprateek Kundu; Ethan Lin; Eugene J. Koay; Bruno Odisio; Caroline Chung; Hyunseon Christine Kang; Aradhana M. Venkatesan; Sireesha Yedururi; Brian De; et al. (SASHIMI@MICCAI, 2022)

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence. - Yang Li 146; Xin Ma; Raj Sunderraman; Shihao Ji 001; Suprateek Kundu (CoRR, 2022)

Semi-parametric Bayes regression with network-valued covariates. - Xin Ma; Suprateek Kundu; Jennifer S. Stevens (Mach. Learn., 2022)

Bayesian longitudinal tensor response regression for modeling neuroplasticity. - Suprateek Kundu; Alec Reinhardt; Serena Song; M. Lawson Meadows; Bruce Crosson; Venkatagiri Krishnamurthy (CoRR, 2023)

Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging. - McKell Woodland; Mais Al Taie; Jessica Albuquerque Marques Silva; Mohamed Eltaher; Frank Mohn; Alexander Shieh; Austin Castelo; Suprateek Kundu; Joshua P. Yung; Ankit B. Patel; Kristy K. Brock (CoRR, 2023)

Tensor Decision Trees For High-Resolution Imaging Data. - Zhihao Chen; Hengrui Luo; Suprateek Kundu; Marina Vannucci (IEEE Big Data, 2024)

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend. - McKell Woodland; Austin Castelo; Mais Al Taie; Jessica Albuquerque Marques Silva; Mohamed Eltaher; Frank Mohn; Alexander Shieh; Suprateek Kundu; Joshua P. Yung; Ankit B. Patel; Kristy K. Brock (MICCAI (12), 2024)

Heterogeneous Image-based Classification Using Distributional Data Analysis. - Alec Reinhardt; Newsha Nikzad; Raven J. Hollis; Galia Jacobson; Millicent A. Roach; Mohamed Badawy; Peter Chul Park; Laura Beretta; Prasun K. Jalal; David T. Fuentes; Eugene J. Koay; Suprateek Kundu (CoRR, 2024)

Flexible Bayesian Product Mixture Models for Vector Autoregressions. - Suprateek Kundu; Joshua Lukemire (J. Mach. Learn. Res., 2024)

Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease. - Rongke Lyu; Marina Vannucci; Suprateek Kundu (Neuroinformatics, 2024)

DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning. - Matthew Drexler; Benjamin B. Risk; James J. Lah; Suprateek Kundu; Deqiang Qiu (CoRR, 2025)