Sreekrishna Ramakrishnapillai

According to our database, Sreekrishna Ramakrishnapillai authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Lifespan cardiometabolic exposures are associated with midlife white matter microstructure: The Bogalusa Heart Study.

Reagan Dugan, Sreekrishna Ramakrishnapillai, Julia St Amant, Kori Murray, Kevin McKlveen, Maryam Naseri, Kaitlyn Madden, Lydia Bazzano, Owen T. Carmichael

NeuroImage, 2025

2024

Reproducible brain PET data analysis: easier said than done.

Maryam Naseri, Sreekrishna Ramakrishnapillai, Owen T. Carmichael

Frontiers Neuroinformatics, 2024

2023

Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural Networks.

Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Krystal Kirby, Arend W. A. Van Gemmert, Lydia Bazzano, Owen T. Carmichael

Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

2022

Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels.

Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen T. Carmichael

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Constrained Learning of Task-Related and Spatially-Coherent Dictionaries from Task fMRI Data.

Sreekrishna Ramakrishnapillai, Harris R. Lieberman, Jennifer C. Rood, Stefan M. Pasiakos, Kori Murray, Preetham Shankapal, Owen T. Carmichael

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data.

Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen T. Carmichael

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021