M. Ethan MacDonald
Orcid: 0000-0001-5421-3536
According to our database1,
M. Ethan MacDonald
authored at least 23 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2018
2019
2020
2021
2022
2023
2024
2025
0
5
10
1
3
8
1
3
2
4
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Exploring the Preprocessing of a Time-Series Healthcare Administrative Dataset on Deep Learning to Improve Prediction.
IEEE Access, 2025
2024
The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI.
CoRR, 2024
Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks.
CoRR, 2024
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters.
CoRR, 2024
Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-Contrast CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Radiation Dose Reduction in Computed Tomography Perfusion of Acute Ischemic Stroke Patients Using a Denoising Autoencoder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population.
NeuroImage, April, 2023
A voxel-level approach to brain age prediction: A method to assess regional brain aging.
CoRR, 2023
Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease.
CoRR, 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach.
CoRR, 2023
The Effect of Epidemiological Cohort Creation on the Machine Learning Prediction of Homelessness and Police Interaction Outcomes Using Administrative Health Care Data.
CoRR, 2023
Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN).
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.
CoRR, 2023
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT.
CoRR, 2023
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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.
IEEE Trans. Medical Imaging, 2022
2020
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.
NeuroImage, 2018
Modeling hyperoxia-induced BOLD signal dynamics to estimate cerebral blood flow, volume and mean transit time.
NeuroImage, 2018
NeuroImage, 2018