Suprateek Kundu

18 papers B 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning.
CoRR
Matthew Drexler, Benjamin B. Risk, James J. Lah, Suprateek Kundu, Deqiang Qiu
2024 J jnl
Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease.
Neuroinformatics
Rongke Lyu, Marina Vannucci, Suprateek Kundu
2024 — conf
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend.
MICCAI (12)
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
2024 J jnl
Flexible Bayesian Product Mixture Models for Vector Autoregressions.
J. Mach. Learn. Res.
Suprateek Kundu, Joshua Lukemire
2024 J jnl
Heterogeneous Image-based Classification Using Distributional Data Analysis.
CoRR
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
2024 B conf
Tensor Decision Trees For High-Resolution Imaging Data.
IEEE Big Data
Zhihao Chen, Hengrui Luo, Suprateek Kundu, Marina Vannucci
2023 J jnl
Bayesian longitudinal tensor response regression for modeling neuroplasticity.
CoRR
Suprateek Kundu, Alec Reinhardt, Serena Song, M. Lawson Meadows, Bruce Crosson, Venkatagiri Krishnamurthy
2023 J jnl
Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging.
CoRR
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
2022 J jnl
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence.
CoRR
Yang Li, Xin Ma, Raj Sunderraman, Shihao Ji, Suprateek Kundu
2022 — conf
Evaluating the Performance of StyleGAN2-ADA on Medical Images.
SASHIMI@MICCAI
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, Yuan-Mao Lin, Ankit B. Patel, Kristy K. Brock
2022 J jnl
Evaluating the Performance of StyleGAN2-ADA on Medical Images.
CoRR
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, Yuan-Mao Lin, Ankit B. Patel, Kristy K. Brock
2022 J jnl
Semi-parametric Bayes regression with network-valued covariates.
Mach. Learn.
Xin Ma, Suprateek Kundu, Jennifer S. Stevens
2021 J jnl
Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker.
Brain Connect.
Suprateek Kundu, Jin Ming, Jennifer S. Stevens
2021 J jnl
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD.
CoRR
Yuexuan Wu, Suprateek Kundu, Jennifer S. Stevens, Negar Fani, Anuj Srivastava
2021 J jnl
Integrative learning for population of dynamic networks with covariates.
NeuroImage
Suprateek Kundu, Jin Ming, Joe Nocera, Keith M. McGregor
2019 — conf
Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications.
BigDataSecurity/HPSC/IDS
Suprateek Kundu, Shan Suthaharan
2018 J jnl
Estimating dynamic brain functional networks using multi-subject fMRI data.
NeuroImage
Suprateek Kundu, Jin Ming, Jordan E. Pierce, Jennifer E. McDowell, Ying Guo
2018 J jnl
Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge.
NeuroImage
Ixavier A. Higgins, Suprateek Kundu, Ying Guo