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M. Ethan MacDonald
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2020 – today
- 2024
- [c6]Pattarawut Charatpangoon, Pauline Delannoy, Connor McDougall, Fernando Vega, Aashka Mohite, Philip Barber, Bijoy K. Menon, Aravind Ganesh, M. Ethan MacDonald:
Radiation Dose Reduction in Computed Tomography Perfusion of Acute Ischemic Stroke Patients Using a Denoising Autoencoder. ISBI 2024: 1-5 - [i11]Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams, G. Bruce Pike, M. Ethan MacDonald:
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters. CoRR abs/2405.00219 (2024) - [i10]Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald:
Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks. CoRR abs/2405.02109 (2024) - 2023
- [j5]Abdoljalil Addeh, Fernando Vega, Prathistith Raj Medi, Rebecca J. Williams, G. Bruce Pike, M. Ethan MacDonald:
Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population. NeuroImage 269: 119904 (2023) - [c5]Sepideh Bahadoripour, M. Ethan MacDonald, Hadis Karimipour:
A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems. ICIT 2023: 1-6 - [c4]Abdoljalil Addeh, Karen Ardila, Fernando Vega, Ali Golestani, M. Ethan MacDonald:
Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging. ISBI 2023: 1-5 - [c3]Karen Ardila, Emily Munro, Fernando Vega, Aashka Mohite, Charlotte Curtis, Amanda V. Tyndall, M. Ethan MacDonald:
Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank. ISBI 2023: 1-5 - [c2]Neha Gianchandani, Johanna Ospel, M. Ethan MacDonald, Roberto Souza:
A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. MLMI@MICCAI (2) 2023: 283-292 - [i9]Sepideh Bahadoripour, M. Ethan MacDonald, Hadis Karimipour:
A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems. CoRR abs/2304.01440 (2023) - [i8]Jianhai Zhang, Tonghua Wan, M. Ethan MacDonald, Bijoy K. Menon, Aravind Ganesh, Qiu Wu:
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT. CoRR abs/2307.01740 (2023) - [i7]Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams, Ali Golestani, G. Bruce Pike, M. Ethan MacDonald:
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 abs/2307.05426 (2023) - [i6]Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald:
Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN). CoRR abs/2307.06338 (2023) - [i5]Faezehsadat Shahidi, M. Ethan MacDonald, Dallas Seitz, Geoffrey Messier:
The Effect of Epidemiological Cohort Creation on the Machine Learning Prediction of Homelessness and Police Interaction Outcomes Using Administrative Health Care Data. CoRR abs/2307.11211 (2023) - [i4]Neha Gianchandani, Mahsa Dibaji, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza:
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach. CoRR abs/2308.12416 (2023) - [i3]Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald:
Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease. CoRR abs/2309.00569 (2023) - [i2]Neha Gianchandani, Mahsa Dibaji, Johanna Ospel, Fernando Vega, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza:
A voxel-level approach to brain age prediction: A method to assess regional brain aging. CoRR abs/2310.11385 (2023) - 2022
- [j4]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging. IEEE Trans. Medical Imaging 41(9): 2331-2347 (2022) - 2020
- [c1]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. MLCN/RNO-AI@MICCAI 2020: 23-33 - [i1]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. CoRR abs/2011.13484 (2020)
2010 – 2019
- 2018
- [j3]Avery J. L. Berman, Erin L. Mazerolle, M. Ethan MacDonald, Nicholas P. Blockley, Wen-Ming Luh, G. Bruce Pike:
Gas-free calibrated fMRI with a correction for vessel-size sensitivity. NeuroImage 169: 176-188 (2018) - [j2]M. Ethan MacDonald, Avery J. L. Berman, Erin L. Mazerolle, Rebecca J. Williams, G. Bruce Pike:
Modeling hyperoxia-induced BOLD signal dynamics to estimate cerebral blood flow, volume and mean transit time. NeuroImage 178: 461-474 (2018) - [j1]Hongfu Sun, Yuhan Ma, M. Ethan MacDonald, G. Bruce Pike:
Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method. NeuroImage 179: 166-175 (2018)
Coauthor Index
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last updated on 2024-09-07 02:00 CEST by the dblp team
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