M. Ethan MacDonald

According to our database, M. Ethan MacDonald authored at least 17 papers between 2018 and 2023.

Collaborative distances:

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

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, April, 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

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

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

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 Messier

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

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

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

A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation.

Neha Gianchandani, Johanna Ospel, M. Ethan MacDonald, Roberto Souza

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems.

Sepideh Bahadoripour, M. Ethan MacDonald, Hadis Karimipour

Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022

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

2020

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

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

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

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