M. Ethan MacDonald
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Cerebrovascular MRI: a review of state‐of‐the‐art approaches, methods and techniques
ME MacDonald, R Frayne
NMR in Biomedicine 28 (7), 767-791, 2015
Supervised machine learning tools: a tutorial for clinicians
LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ...
Journal of Neural Engineering 17 (6), 062001, 2020
Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method
H Sun, Y Ma, ME MacDonald, GB Pike
Neuroimage 179, 166-175, 2018
Phase contrast MR imaging measurements of blood flow in healthy human cerebral vessel segments
ME MacDonald, R Frayne
Physiological Measurement 36 (7), 1517, 2015
MRI of healthy brain aging: A review
ME MacDonald, GB Pike
NMR in Biomedicine 34 (9), e4564, 2021
Dynamic phantom with heart, lung, and blood motion for initial validation of MRI techniques
NE Swailes, ME MacDonald, R Frayne
Journal of Magnetic Resonance Imaging 34 (4), 941-946, 2011
Modeling hyperoxia-induced BOLD signal dynamics to estimate cerebral blood flow, volume and mean transit time
ME MacDonald, AJL Berman, EL Mazerolle, RJ Williams, GB Pike
Neuroimage 178, 461-474, 2018
Gas-free calibrated fMRI with a correction for vessel-size sensitivity
AJL Berman, EL Mazerolle, ME MacDonald, NP Blockley, WM Luh, ...
Neuroimage 169, 176-188, 2018
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
D Rajashekar, M Wilms, ME MacDonald, J Ehrhardt, P Mouches, ...
Scientific Data 7 (1), 1-7, 2020
Deconvolution with simple extrapolation for improved cerebral blood flow measurement in dynamic susceptibility contrast magnetic resonance imaging during acute ischemic stroke
ME MacDonald, MR Smith, R Frayne
Magnetic Resonance Imaging 29 (5), 620-629, 2011
Flow and pressure measurements in aneurysms and arteriovenous malformations with phase contrast MR imaging
ME MacDonald, P Dolati, AP Mitha, JH Wong, R Frayne
Magnetic Resonance Imaging 34 (9), 1322-1328, 2016
The relationship between cognition and cerebrovascular reactivity: implications for task-based fMRI
RJ Williams, ME MacDonald, EL Mazerolle, GB Pike
Frontiers in Physics 9, 157, 2021
Bidirectional modeling and analysis of brain aging with normalizing flows
M Wilms, JJ Bannister, P Mouches, ME MacDonald, D Rajashekar, ...
Machine learning in clinical neuroimaging and radiogenomics in neuro …, 2020
Interdatabase variability in cortical thickness measurements
ME MacDonald, RJ Williams, ND Forkert, AJL Berman, CR McCreary, ...
Cerebral Cortex 29 (8), 3282-3293, 2019
Phase error correction in time-averaged 3D phase contrast magnetic resonance imaging of the cerebral vasculature
ME MacDonald, ND Forkert, GB Pike, R Frayne
PLoS One 11 (2), e0149930, 2016
Phase correction of a bipolar gradient-echo acquisition for quantitative susceptibility mapping
H Sun, ME MacDonald, GB Pike
Int. Soc. Magn. Res. Med. Scientific Meeting 2987, 2016
Hemodynamic alterations measured with phase-contrast MRI in a giant cerebral aneurysm treated with a flow-diverting stent
ME MacDonald, P Dolati, AP Mitha, AP Eesa, JH Wong, R Frayne
Radiology Case Reports 10 (2), 2015
Accelerated passive MR catheter tracking into the carotid artery of canines
ME MacDonald, RB Stafford, J Yerly, LB Andersen, CR McCreary, ...
Magnetic Resonance Imaging 31 (1), 120-129, 2013
Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction
ME MacDonald, RJ Williams, D Rajashekar, RB Stafford, A Hanganu, ...
Neurobiology of Aging 95, 131-142, 2020
Impact of DFT properties on the inherent resolution of compressed sensing reconstructed images
M Smith, J Woehr, E Marasco, ME MacDonald
IET Digital Library, 2013
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