Gas-free calibrated fMRI with a correction for vessel-size sensitivity. - Avery J. L. Berman; Erin L. Mazerolle; M. Ethan MacDonald; Nicholas P. Blockley; Wen-Ming Luh; G. Bruce Pike (NeuroImage, 2018)

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)

Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method. - Hongfu Sun; Yuhan Ma; M. Ethan MacDonald; G. Bruce Pike (NeuroImage, 2018)

Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. - Matthias Wilms; Jordan J. Bannister; Pauline Mouches; M. Ethan MacDonald; Deepthi Rajashekar; Sönke Langner; Nils D. Forkert (MLCN/RNO-AI@MICCAI, 2020)

Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging. - Matthias Wilms; Jordan J. Bannister; Pauline Mouches; M. Ethan MacDonald; Deepthi Rajashekar; Sönke Langner; Nils D. Forkert (IEEE Trans. Medical Imaging, 2022)

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems. - Sepideh Bahadoripour; M. Ethan MacDonald; Hadis Karimipour (ICIT, 2023)

Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging. - Abdoljalil Addeh; Karen Ardila; Fernando Vega; Ali Golestani; M. Ethan MacDonald (ISBI, 2023)

Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank. - Karen Ardila; Emily Munro; Fernando Vega; Aashka Mohite; Charlotte Curtis; Amanda V. Tyndall; M. Ethan MacDonald (ISBI, 2023)

A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. - Neha Gianchandani; Johanna Ospel; M. Ethan MacDonald; Roberto Souza 001 (MLMI@MICCAI (2), 2023)

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT. - Jianhai Zhang; Tonghua Wan; M. Ethan MacDonald; Bijoy K. Menon; Aravind Ganesh; Qiu Wu (CoRR, 2023)

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)

Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN). - Fernando Vega; Abdoljalil Addeh; M. Ethan MacDonald (CoRR, 2023)

The Effect of Epidemiological Cohort Creation on the Machine Learning Prediction of Homelessness and Police Interaction Outcomes Using Administrative Health Care Data. - Faezehsadat Shahidi; M. Ethan MacDonald; Dallas Seitz; Geoffrey G. Messier (CoRR, 2023)

Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach. - Neha Gianchandani; Mahsa Dibaji; Mariana P. Bento; M. Ethan MacDonald; Roberto Souza 001 (CoRR, 2023)

Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease. - Fernando Vega; Abdoljalil Addeh; M. Ethan MacDonald (CoRR, 2023)

A voxel-level approach to brain age prediction: A method to assess regional brain aging. - Neha Gianchandani; Mahsa Dibaji; Johanna Ospel; Fernando Vega; Mariana P. Bento; M. Ethan MacDonald; Roberto Souza 001 (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)

Enhancing Risk Prediction in Mental Health Using Ensemble Hybrid Models and Administrative Healthcare Data with Irregular Intervals. - Faezehsadat Shahidi; M. Ethan MacDonald; Dallas Seitz; Rebecca Barry; Geoffrey G. Messier (BIBM, 2024)

Radiation Dose Reduction in Computed Tomography Perfusion of Acute Ischemic Stroke Patients Using a Denoising Autoencoder. - Pattarawut Charatpangoon; Pauline Delannoy; Connor McDougall; Fernando Vega; Aashka Mohite; Philip Barber; Bijoy K. Menon; Aravind Ganesh; M. Ethan MacDonald (ISBI, 2024)

Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-Contrast CT. - Jianhai Zhang; Tonghua Wan; M. Ethan MacDonald; Bijoy K. Menon; Wu Qiu; Aravind Ganesh (MICCAI (2), 2024)

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)

Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks. - Fernando Vega; Abdoljalil Addeh; M. Ethan MacDonald (CoRR, 2024)

The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI. - Abdoljalil Addeh; G. Bruce Pike; M. Ethan MacDonald (CoRR, 2024)

Reconstructing Heart Rate Variation from Bold-FMRI Using 1D-CNN and GRU Networks with Dynamic Functional Connectivity-Based ROIs. - Abdoljalil Addeh; Yousif Al Khoury; Biniyam Kahsay Mezgebo; Susanne Schmid; G. Bruce Pike; M. Ethan MacDonald (ISBI, 2025)

Atlas Construction and Validation Using Cone-Beam Computed Tomography Images of Healthy Adult Human Hands. - Yousif Al-Khoury; Abdoljalil Addeh; Biniyam K. Mezgebo; M. Ethan MacDonald; Sarah L. Manske (ISBI, 2025)

Attention-Enhanced UNet for Automated Gleason Score 3 Tumor Segmentation in Histopathological Whole Slide Images. - Biniyam Mezgebo; Joema Lima; Abdoljalil Addeh; Yousif Al-Khoury; Wooju Chung; Tarek A. Bismar; M. Ethan MacDonald; Dylan R. Pillai (ISBI, 2025)

Exploring the Preprocessing of a Time-Series Healthcare Administrative Dataset on Deep Learning to Improve Prediction. - Faezehsadat Shahidi; M. Ethan MacDonald; Dallas Seitz; Rebecca Barry; Geoffrey G. Messier (IEEE Access, 2025)

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)

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI. - Karen Ardila; Aashka Mohite; Abdoljalil Addeh; Amanda V. Tyndall; Cindy K. Barha; Quan Long; M. Ethan MacDonald (CoRR, 2025)