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Suprateek Kundu
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2020 – today
- 2024
- [j7]Suprateek Kundu, Joshua Lukemire:
Flexible Bayesian Product Mixture Models for Vector Autoregressions. J. Mach. Learn. Res. 25: 146:1-146:52 (2024) - [j6]Rongke Lyu, Marina Vannucci, Suprateek Kundu:
Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease. Neuroinformatics 22(4): 437-455 (2024) - [c3]McKell Woodland
, Austin Castelo
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend. MICCAI (12) 2024: 87-97 - [i6]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:
Heterogeneous Image-based Classification Using Distributional Data Analysis. CoRR abs/2403.07126 (2024) - 2023
- [i5]Suprateek Kundu, Alec Reinhardt, Serena Song, M. Lawson Meadows, Bruce Crosson, Venkatagiri Krishnamurthy:
Bayesian longitudinal tensor response regression for modeling neuroplasticity. CoRR abs/2309.10065 (2023) - [i4]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:
Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging. CoRR abs/2311.13717 (2023) - 2022
- [j5]Xin Ma
Semi-parametric Bayes regression with network-valued covariates. Mach. Learn. 111(10): 3733-3767 (2022) - [c2]McKell Woodland
Evaluating the Performance of StyleGAN2-ADA on Medical Images. SASHIMI@MICCAI 2022: 142-153 - [i3]McKell Woodland, John Wood, Brian M. Anderson, Suprateek Kundu, Ethan Lin, Eugene J. Koay, Bruno Odisio, Caroline Chung, Hyunseon Christine Kang, Aradhana M. Venkatesan
Evaluating the Performance of StyleGAN2-ADA on Medical Images. CoRR abs/2210.03786 (2022) - [i2]Yang Li, Xin Ma, Raj Sunderraman, Shihao Ji, Suprateek Kundu:
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence. CoRR abs/2211.07429 (2022) - 2021
- [j4]Suprateek Kundu, Jin Ming, Jennifer S. Stevens:
Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker. Brain Connect. 11(7): 529-542 (2021) - [j3]Suprateek Kundu, Jin Ming, Joe Nocera, Keith M. McGregor
Integrative learning for population of dynamic networks with covariates. NeuroImage 236: 118181 (2021) - [i1]Yuexuan Wu, Suprateek Kundu, Jennifer S. Stevens, Negar Fani, Anuj Srivastava:
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD. CoRR abs/2105.11547 (2021)
2010 – 2019
- 2019
- [c1]Suprateek Kundu, Shan Suthaharan
Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications. BigDataSecurity/HPSC/IDS 2019: 67-73 - 2018
- [j2]Ixavier A. Higgins, Suprateek Kundu, Ying Guo:
Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge. NeuroImage 181: 263-278 (2018) - [j1]Suprateek Kundu, Jin Ming, Jordan E. Pierce
Estimating dynamic brain functional networks using multi-subject fMRI data. NeuroImage 183: 635-649 (2018)
Coauthor Index
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last updated on 2024-12-10 21:47 CET by the dblp team
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