Modeling hyperoxia-induced BOLD signal dynamics to estimate cerebral blood flow, volume and mean transit time. - M. Ethan MacDonald; Avery J. L. Berman; Erin L. Mazerolle; Rebecca J. Williams; G. Bruce Pike (NeuroImage, 2018)

Using BOLD-fMRI to Compute the Respiration Volume per Time (RTV) and Respiration Variation (RV) with Convolutional Neural Networks (CNN) in the Human Connectome Development Cohort. - Abdoljalil Addeh; Fernando Vega; Rebecca J. Williams; Ali Golestani; G. Bruce Pike; M. Ethan MacDonald (CoRR, 2023)

Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population. - Abdoljalil Addeh; Fernando Vega; Prathistith Raj Medi; Rebecca J. Williams; G. Bruce Pike; M. Ethan MacDonald (NeuroImage, 2023)

Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters. - Abdoljalil Addeh; Fernando Vega; Rebecca J. Williams; G. Bruce Pike; M. Ethan MacDonald (CoRR, 2024)

Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity. - Abdoljalil Addeh; Karen Ardila; Rebecca J. Williams; G. Bruce Pike; M. Ethan MacDonald (CoRR, 2025)