Suprateek Kundu

According to our database, Suprateek Kundu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease.

Rongke Lyu, Marina Vannucci, Suprateek Kundu

Neuroinformatics, October, 2024

Flexible Bayesian Product Mixture Models for Vector Autoregressions.

Suprateek Kundu, Joshua Lukemire

J. Mach. Learn. Res., 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Bayesian longitudinal tensor response regression for modeling neuroplasticity.

Suprateek Kundu, Alec Reinhardt, Serena Song, M. Lawson Meadows, Bruce Crosson, Venkatagiri Krishnamurthy

CoRR, 2023

2022

Semi-parametric Bayes regression with network-valued covariates.

Xin Ma, Suprateek Kundu, Jennifer S. Stevens

Mach. Learn., 2022

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence.

Yang Li, Xin Ma, Raj Sunderraman, Shihao Ji, Suprateek Kundu

CoRR, 2022

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, Yuan-Mao Lin, Ankit B. Patel, Kristy K. Brock

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

2021

Integrative learning for population of dynamic networks with covariates.

Suprateek Kundu, Jin Ming, Joe Nocera, Keith M. McGregor

NeuroImage, 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

Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker.

Suprateek Kundu, Jin Ming, Jennifer S. Stevens

Brain Connect., 2021

2019

Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications.

Suprateek Kundu, Shan Suthaharan

Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

2018

Estimating dynamic brain functional networks using multi-subject fMRI data.

Suprateek Kundu, Jin Ming, Jordan E. Pierce, Jennifer E. McDowell, Ying Guo

NeuroImage, 2018

Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge.

Ixavier A. Higgins, Suprateek Kundu, Ying Guo

NeuroImage, 2018