Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data. - Kai-Cheng Chuang; Sreekrishna Ramakrishnapillai; Lydia Bazzano; Owen T. Carmichael (MLCN@MICCAI, 2021)

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 (MICCAI (1), 2022)

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 (MLCN@MICCAI, 2023)

Cardiovascular risk in childhood and young adulthood is associated with the hemodynamic response function in midlife: The Bogalusa Heart Study. - Kai-Cheng Chuang; Maryam Naseri; Sreekrishna Ramakrishnapillai; Kaitlyn Madden; Julia St Amant; Kevin McKlveen; Kathryn Gwizdala; Ramasudhakar Dhullipudi; Lydia Bazzano; Owen T. Carmichael (NeuroImage, 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)