Research

My research program develops MRI engineering, biomedical analytics, and AI methods for quantitative and accessible neuroimaging. The work spans brain aging, Alzheimer's disease biomarkers, stroke imaging, pediatric neuroimaging, physiological signal correction, and low-cost MRI systems, with citation details available on Google Scholar.

Research themes

  • MRI Hardware and Software Engineering: I build hardware, pulse-sequence, reconstruction, and signal-processing methods that make MRI more quantitative, accessible, and useful for brain and biomedical imaging.
  • Biomedical Data Analytics and Machine Learning: I develop data-driven models for medical imaging, physiological signals, biomarkers, and clinical decision support, with emphasis on validation and interpretable biomedical use.
  • Agent Intelligence and Brain Emulation: I am interested in agentic AI systems and computational models inspired by brain organization, including how memory, reasoning, tool use, and embodied workflows can support research and education.

Selected Research Works

Published manuscripts

  1. Mezgebo, B.K., Chaffee, R.L., Castellanos, R., Ashraf, S., Burke-Gaffney., J., Pitaut, J.D.D., Iorga, B.I., MacDonald, M.E., and Pillai, D. You Only Look Once (YOLO) Based Machine Learning Algorithm for Real-Time Detection of Loop-Mediated Isothermal Amplification (LAMP) Diagnostics Public Library of Science (PLoS) ONE:1-15, 2026. https://doi.org/10.1371/journal.pone.0339042.
  2. Charatpangoon, P., Zhang, J., Singh, N., Almekhlafi, M.A., Buck, B.H., Catanese, L., Sajobi, T., Swartz, R.H., Tkach, A., Menon, B.K., MacDonald, M.E., and Ganesh, A. A Multi-Site Harmonization of Computed Tomography Perfusion Maps using Scaling Factors and ComBat Clinical Neuroradiology:111332, 2026. https://doi.org/10.1007/s00062-026-01626-8.
  3. Ghiyamihoor, F., Paymani, P., Perron, J., Asemi-Rad, A., Marzban, M., Mohite, A., Ardila, K., Aljada, B., Marzban, A., Toback, M., Eltonsy, S., Hyun Ko, J., Siddiqui, T.J., Steele, C.J., Kong, J., Manto, M., MacDonald, M.E., Gill, J.S., Sillitoe, R.V., Beheshti, I., and Marzban, H. Volume Changes in Cerebellar Transverse Zones and Lobules: Insights from Healthy Individuals and Patients with Neurological Disorders Human Brain Mapping 46(e70214):1-22, 2025. https://doi.org/10.1002/hbm.70214.
  4. Zhang, J., Wan, T, MacDonald, M.E., Menon, B, Ganesh, A, and Wu, Q. Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT IEEE Transactions on Neural Networks and Learning Systems 36(9):16035-16048, 2025. https://doi.org/10.1109/TNNLS.2025.3555188.
  5. Shahidi, F., MacDonald, M.E., Seitz, D., and Messier, G. Risk factors and predictive performance for first healthcare encounters indicating homelessness and police interactions using administrative data among residents of Calgary, Alberta, Canada who are diagnosed with addiction or mental health conditions Public Library of Science (PLoS) Digital Health 4(10):e0001064, 2025. https://doi.org/10.1371/journal.pdig.0001064.
  6. Addeh, A., Williams, R.J., Golestani, A., Pike, G., and MacDonald, M.E.. Physiological Confounds in BOLD-fMRI and their Correction NMR in Biomedicine 38(7):e70076, 2025. https://doi.org/10.1002/nbm.70076.
  7. Addeh, A., Vega, F., Morshedi, A., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters Magnetic Resonance in Medicine 93(3):1365-1379, 2025. https://doi.org/10.1002/mrm.30330.
  8. Mohite, A., Ardila, K., Charatpangoon, P., Munro, E., Zhang, Q., Long, Q., Curtis, C., and MacDonald, M.E.. Integration of Genetic Information to Improve Brain Age Gap Estimation Models in the UK Biobank Human Brain Mapping 46:e70331, 2025. https://doi.org/10.1002/hbm.70331.
  9. Shahidi, F., MacDonald, M.E. Seitz, D., Barry, R., and Messier, G. Exploring the Preprocessing of a Time-Series Administrative Healthcare Dataset on Deep Learning to Improve Prediction IEEE Access 13:3485-3496, 2025. https://doi.org/10.1109/ACCESS.2024.3520425.
  10. Becker, J., MacDonald, M.E., Vessy, K.A., and Williams, R.J. Choroid Plexus Volume and its Association with Cognitive Performance Across the Lifespan: Links to Sleep Quality and Healthy Brain Aging Neurobiology of Aging 156:40-49, 2025. https://doi.org/10.1016/j.neurobiolaging.2025.08.003.
  11. Al-Khoury, Y., Figueiredo, C.P., Waungana, T.H., Saini, J., Vega, F., Barber, C., Hazlewood, G.S., MacDonald, M.E., and Manske, S. CL-GAN: A Progressive Curriculum Learning Approach for Bone CT Super-Resolution Computers in Biology and Medicine 199:111332, 2025. https://doi.org/10.1016/j.compbiomed.2025.111332.
  12. Charatpangoon, P., Singh, N., Buck, B., Carpani, F., Catanese, L., Coutts, S., Field, T., Hunter, G., Khosravani, H., Perera, K., Sajobi T., Shamy, M., Shankar, J., Tkach, A., Swartz, R., Almekhlafi, M., Menon, B., MacDonald, M.E., and Ganesh, A. Automatic Matching Algorithms to Increase Enrolment in Stroke Clinical Trials: A Proof-of-Concept Study Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 52(5):759-768, 2025. https://doi.org/10.1017/cjn.2024.352.
  13. Vega, F., Addeh, A., Ganesh, A., Smith, E.E., and MacDonald, M.E.. Image Translation for Estimating Two-Dimensional Axial Amyloid-Beta PET From Structural MRI Journal of Magnetic Resonance Imaging 59(3):1021-1031, 2024. https://doi.org/10.1002/jmri.29070.
  14. Gianchandani, N., Dibaji, M., Ospel, J., Vega, F., Bento, M., MacDonald, M.E., and Souza, R. A Voxel-Level Approach to Brain Age Prediction: A Method to Assess Regional Brain Aging Journal of Machine Learning for Biomedical Imaging 2:761-795, 2024. https://doi.org/10.59275/j.melba.2024-4dg2.
  15. He, J., Antonyan, L., Zhu, H., Ardila, K., Li, Q., Enoma, D., Zhang, W., Liu, A., Chekouo, T., Cao, B., MacDonald, M.E., Arnold, P., and Long, Q. A Statistical Method for Image-Mediated Association Studies Discovers Genes and Pathways Associated with Four Brain Disorders The American Journal of Human Genetics 111(1):48-69, 2024. https://doi.org/10.1016/j.ajhg.2023.11.006.
  16. Addeh, A., Vega, F., Medi, P., Williams, R.J, Pike, G.B, and MacDonald, M.E.. Direct Machine Learning Reconstruction of Respiratory Variation Waveforms from Resting State fMRI Data in a Pediatric Population NeuroImage 41:119904, 2023. https://doi.org/10.1016/j.neuroimage.2023.119904.
  17. Williams, R, Specht, J., Mazerolle, E., Lebel, M.R., MacDonald, M.E., and Pike, G.B. Correspondence between BOLD fMRI task activation and cerebrovascular reactivity across the cerebral cortex Frontiers in Physiology - Medical Physics and Imaging 14:1167148, 2023. https://doi.org/10.3389/fphys.2023.1167148.
  18. Kumar, H., Dixit, K., Sharma, R., MacDonald, M.E., Sinha, N., and Kim, K. Closed-loop vasculature network design for bioprinting large, solid tissue scaffolds Biofabrication 15(2):024104, 2023. https://doi.org/10.1088/1758-5090/acb73c.
  19. Wilms, M., Bannister, J.J., Mouches, P., MacDonald, M.E., Rajashekar, D., Langner, S., and Forkert, N.D. A Bidirectional Normalizing Flow Model of Brain Aging IEEE Transaction on Medical Imaging, 2022. https://doi.org/10.1109/TMI.2022.3161947.
  20. Williams, R.J., MacDonald, M.E., Mazerole, E.L., and Pike, G.B. The relationship between cognition and cerebrovascular reactivity: Implications for cognitive fMRI Frontiers in Physics - Medical Physics and Imaging, 2021. https://doi.org/10.3389/fphy.2021.645249.
  21. MacDonald, M.E. and Pike, G.B. Magnetic Resonance Imaging of Healthy Brain Aging: A Review NMR in Biomedicine Article # e4564:1--25, 2021. https://doi.org/10.1002/nbm.4564.
  22. Rajashekar, D., Wilms, M., MacDonald, M.E., Hill, M.D., Dukelow, S.P., and Forkert, N.D. Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients Stroke & Vascular Neurology, 2021. https://doi.org/10.1136/svn-2021-001091.
  23. MacDonald, M.E., Williams, R.J., Rajashekar, D., Stafford, R.B.S., Hanganu, A., Sun, H., Berman, A.J.L., McCreary, C.M., Frayne, R., Forkert, N.D., and Pike, G.B. The Effect of Aging on Cerebral Blood Flow and Cortical Thickness with Application to Age Prediction Neurobiology of Aging 95:131--142, 2020. https://doi.org/10.1016/j.neurobiolaging.2020.06.019.
  24. Lo Vercio, L., Amador, K., Bannister, J., Crites, S., Gutierrez, A., MacDonald, M.E., Moore, J., Mouches, P., Rajashekar, D., Schimert, S., Subbanna, N., Tuladhar, A., Wang, N., Wilms, M., Winder, A., and Forkert, N.D. Supervised machine learning tools: a tutorial for clinicians Journal of Neural Engineering 16(6):062001, 2020. https://doi.org/10.1088/1741-2552/abbff2.
  25. Rajashekar, D., Wilms, M., MacDonald, M.E., Ehrhardt, J., Mouches, P., Frayne, R., Hill, M., and Forkert, N.D. High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly Scientific Data, 2020. https://doi.org/10.1038/s41597-020-0379-9.
  26. MacDonald, M.E., Williams, R.J., Forkert, N.D., Berman, A.J.L., McCreary, C.R., Frayne, R., and Pike, G.B. Interdatabase Variability of Cortical Thickness Measurements Cerebral Cortex 29(8):3282--3293, 2019. https://doi.org/10.1093/cercor/bhy197.
  27. Sun, H., Ma, Y., MacDonald, M.E., and Pike, G.B. Whole Head Quantitative Susceptibility Mapping Using a Least-norm Direct Dipole Inversion Method Neuroimage 179:166--175, 2018. https://doi.org/10.1016/j.neuroimage.2018.06.036.
  28. MacDonald, M.E., Berman, A.J.L., Williams, R.J., Mazerole, E.L., and Pike, G.B. Modelling Hyperoxia-induced BOLD Signal Dynamics to Estimate Cerebral Blood Flow, Volume and Mean Transit Time Neuroimage 178:461--474, 2018. https://doi.org/10.1016/j.neuroimage.2018.05.066.
  29. Berman, A.J.L., Mazerolle, E.L., MacDonald, M.E., Blockley, N.P., Luh, W., and Pike, G.B. Gas-free Calibrated fMRI with a Correction for Vessel-Size Sensitivity NeuroImage 169:176--188, 2018. https://doi.org/10.1016/j.neuroimage.2017.12.047.
  30. MacDonald, M.E., Forkert, N.D., Pike, G.B., and Frayne, R. Phase Error Correction in Time-Averaged 3D Phase Contrast Magnetic Resonance Imaging of the Cerebral Vasculature Public Library of Science ONE 11(2):1--15, 2016. https://doi.org/10.1371/journal.pone.0149930.
  31. MacDonald, M.E., Dolati, P., Mitha, A., Wong, J.H., and Frayne, R. Dynamic Phase Contrast Magnetic Resonance Imaging for the Assessment of Arteriovenious Malformation and Aneurysm Pressure Magnetic Resonance Imaging 34:1322--1328, 2016. https://doi.org/10.1016/j.mri.2016.07.007.
  32. MacDonald, M.E. and Frayne, R. Phase Contrast MR Imaging Measurements of Blood Flow in Healthy Human Cerebral Vessel Segments Physiological Measurement 36(7):1517--1527, 2015. https://doi.org/10.1088/0967-3334/36/7/1517.
  33. MacDonald, M.E., Dolati, P., Mitha, A., Essa, M., Wong, J.H., and Frayne, R. Flow and Hemodynamic Alteration in a Giant Cerebral Aneurysm Treated with a Pipeline Stent Radiology Case Reports 10(2):1--7, 2015. https://doi.org/10.2484/rcr.v10i2.1109.
  34. MacDonald, M.E. and Frayne, R. Cerebrovascular Magnetic Resonance Imaging: A Review of State-of-the-Art Approaches, Methods and Techniques NMR in Biomedicine 28(7):767--791, 2015. https://doi.org/10.1002/nbm.3322.
  35. MacDonald, M.E., Stafford, R.B., Yerly, J., Andersen, L., McCreary, C.M., and Frayne, R. Accelerated Passive MR Catheter Tracking into the Carotid Artery of Canines Magnetic Resonance Imaging 2013. https://doi.org/10.1016/j.mri.2012.06.033.
  36. MacDonald, M.E., Smith, M.R., and Frayne, R. Deconvolution with Simple Extrapolation for Improved CBF Measurements in DSC-MRI during Acute Ischemic Stroke Magnetic Resonance Imaging 29(1):620--629, 2011. https://doi.org/10.1016/j.mri.2011.02.024.
  37. Swailies, N.E., MacDonald, M.E., and Frayne, R. Closed-Loop Circulation Phantom with Heart and Lung Motion for Validating Passive Magnetic Resonance Catheter Tracking Journal of Magnetic Resonance Imaging 34(4):941--946, 2011. https://doi.org/10.1002/jmri.22688.

Conference proceedings

  1. Ardila, K., Tyndall, A., Barha, C.K., Bento, M., Long, Q., MacDonald, M.E., and Ganesh, A. U-Shaped Association Between Sleep Duration and White Matter Aging in 39,000 Adults 2026 Organization of Human Brain Mapping Annual Meeting, 2026.
  2. Chung, W., Mezgebo, B., Kelly, M.M., Pillai, D.R., and MacDonald, M.E.. Self-Supervised Pre-Training for Cell Instance Segmentation in Multiplexed Tissue Imaging 2026 Department of Pathology and Laboratory Medicine Research Day, 2026.
  3. Wang, S., Mezgebo, B., MacDonald, M.E., Pillai, D., and Gill, P. Self-Supervised Feature Learning for Weakly Supervised Merkel Cell Carcinoma Tumor Analysis and Parameter Measurement in Whole Slide Images 2026 Department of Pathology and Laboratory Medicine Research Day, 2026.
  4. Huber, B., Metwali, A., Beaudoin, J., Tourigny, E., Acosta Simancas, A., Onen, D., MacDonald, M.E., and Nightingale, M. Selecting Future Engineers: A Systematic Review of Predictors and Practices in Undergraduate Admissions 2026 Canadian Engineering Education Association (CEEA) Annual Conference, 2026.
  5. Ijever, A.W., McMillan, J.M., MacDonald, M.E., Beaudin, A., McCreary, C.R., Chen, C.H., Saad, F., Juego, K., Boa Sorte Silva, M.C., Raina, P., Liu-Ambrose, T., and Smith, E.E. Investigating the Role of Altered Cerebral Perfusion in Cognitive Dysfunction in COVID-19 Infection 2026 Vascular Training Platform Conference, 2026.
  6. Metwali, A., Beaudoin, J., Onen, D., MacDonald, M.E., and Nightingale, M. Examining Student and Instructor Perceptions of Assessment Effectiveness in an Undergraduate Biomedical Engineering Program 2026 Canadian Engineering Education Association (CEEA) Annual Conference, 2026.
  7. Mahajna, M., Charatpangoon, P., Ondrus, M., Sheronick, R., MacDonald, M.E., and Barber, P. Brain Age Estimation from Non-Contrast CT in Acute Stroke Patients using the Contralateral half of the Brain 2026 International Stroke Conference, 2026.
  8. Charatpangoon, P., Barakhanov, K., Kathuveetil, A., Zhang, J., Mahajna, M., Saad, F., MacDonald, M.E., and Ganesh, A. Automatic Detection of Cerebral Microbleeds on Susceptibility-Weighted Imaging Using a 3D Deep Learning Network 2026 International Stroke Conference, 2026.
  9. Barakhanov, K., Zhang, J., Hassan, H., Garcia, N., Omofoma, R., Sridhar, J., Mulangu, B., Drozdowska, M., MacDonald, M.E., Knight, K., Quinn, T.J., and Ganesh, A. Automated Sarcopenia Assessment Using Routinely Acquired CT AngiographyT in Stroke and Transient Ischemic Attack 2026 International Stroke Conference, 2026.
  10. Onen, D., Touriqny, E., Acosta Simancas, A., Nightengale, M., and MacDonald, M.E.. A Rigorous Evaluation of Agentic Large Language Model Workflows for Multiple-Choice Question Generation in Advanced Engineering Courses 2026 American Society of Engineering Education Annual Conference, 2026.
  11. Charatpangoon, P., Barakhanov, K., Kathuveetil, A., Zhang, J., Mahajna, M., Saad, F., MacDonald, M.E., and Ganesh, A. 3d Residual Attention U-Net with Three-Channel Input for Automatic Detection of Cerebral Microbleeds on SWI 2026 IEEE International Symposium on Biomedical Imaging, 2026.
  12. Ling, D., Spiian, A., Ardila, K., Mohite, A., and MacDonald, M.E.. Utilizing Machine Learning to Identify Significant Genes Associated with Amygdala-AGE using UK Biobank Data 2025 High School Youth Research Summer Research Symposium, 2025.
  13. Wu, E., Church, E., Addeh, A., Mahajna, M., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Using Machine Learning to Estimate Cerebrovascular Reactivity 2025 High School Youth Research Summer Research Symposium, 2025.
  14. Limbu, A., Saleh, A., Noim, J., Petropoulos, L., Abdelraouf, R., Badawy, S., Asgarpour, J., and MacDonald, M.E.. SmartLensX: A Portable Smartphone Attachment for Remote Eye Imaging 2025 Alberta Biomedical Engineering Conference, 2025.
  15. Addeh, A., Al-Khoury, Y., Mezgebo, B., Schmid, S., Pike, G.B., and MacDonald, M.E.. Reconstructing Heart Rate Variation from BOLD-fMRI Using 1D-CNN and GRU Networks with Dynamic Functional Connectivity-based ROIs 2025 IEEE International Symposium on Biomedical Imaging, 2025.
  16. Mezgebo, B., Chaffee, R., Castellanos, L.R., Ashraf, S., Burke-Gaffney, J., Pitout, J.D.D., Iorga, B.I., MacDonald, M.E., and Pillai, D.R. Real-time detection of loop-mediated isothermal amplification using you only look once based machine learning algorithm Pathology and Laboratory Medicine Research Day at the University of Calgary, 2025.
  17. Shimizu, H., Beaudoin, J., and MacDonald, M.E.. Neuromagnetic Field Measurements with Phase Images Acquired by a Spin-Lock Sequence 2025 Alberta Biomedical Engineering Conference, 2025.
  18. Mezgebo, B., MacDonald, M.E., and Pillai, D.R. Memory-Guided UNet for Multi-Class Gleason Pattern Segmentation in Prostate Whole Slide Images Pathology and Laboratory Medicine Research Day at the University of Calgary, 2025.
  19. Addeh, A., Ardila, K., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Machine Learning-Based Estimation of Heart Rate Variability from resting BOLD-fMRI in Aging: Leveraging Dynamic Connectivity Patterns 2025 OHBM Annual Meeting, 2025.
  20. Ijever, A.W., McMillan, J.M., MacDonald, M.E., Beaudin, A., McCreary, C.R., Raina, P., Liu-Ambrose, T., and Smith, E.E. Investigating the Role of Altered Cerebral Perfusion in Cognitive Dysfunction in COVID-19 Infection 2025 Vascular Training Platform Conference, 2025.
  21. do Nascimento, T., Addeh, A., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Impact of Variable Breathing on Functional Connectivity in Resting-State fMRI: An Observational Study 2025 OHBM Annual Meeting, 2025.
  22. Oldreive, T., MacDonald, M.E., and Barber, P.A. Imaging Biomarkers of Dementia Risk in TIA: A Five-Year Study of Hippocampal and Global Atrophy 2025 Canadian Conference on Dementia, 2025.
  23. Beaudoin, J., Shimizu, H., and MacDonald, M.E.. Halbach-Based Ultra Low-Field MRI: Gradient Coil Simulations 2025 Alberta Biomedical Engineering Conference, 2025.
  24. Ardila, K., Addeh, A., Mohite, A., Long, Q., and MacDonald, M.E.. Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI 2025 ISMRM Annual Meeting, 2025.
  25. Spiian, A., Ardila, K., Mohite, A., Ling, D., and MacDonald, M.E.. Genetic Contributions to Amygdala Aging: A Machine Learning Analysis of UK Biobank Data 2025 SSE Summer Undergraduate Research Program, 2025.
  26. Ardila, K., Mohite, A., Addeh, A., Williams, R.J., Barha, C.K., Long, Q., and MacDonald, M.E.. Genetic Associations with a BrainAGE Model that includes both Structural Neuroimaging and Exercise 2025 OHBM Annual Meeting, 2025.
  27. Oldreive, T., Stys, P., MacDonald, M.E., and Barber, P.A. Fluorescent Spectrometric Analysis of Amyloid Protein in Blood Platelets of Transient Ischemic Attack Patients 2025 Vascular Training Platform Conference, 2025.
  28. Addeh, A., Morshedi, A., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Enhanced HRV Estimation from Resting-State BOLD Signals through Advanced ROI Integration 2025 Brain & Brain PET Annual Meeting, 2025.
  29. Addeh, A., Ardila, K., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity 2025 ISMRM Annual Meeting, 2025.
  30. Zhang, J, Barakhanov, K., Kaveeta, C., Pensato, U., Ramkumar, R., MacDonald, M.E., Singh, N., Menon, B.K., Qiu, W., and Ganesh, A. Development and testing of a fully automated tool for the detection, segmentation, and characterization of cervical carotid atherosclerotic disease 2025 International Stroke Conference, 2025.
  31. Arumugam, K., Al-Khoury, Y., Smith, A.C.J., Bott, K., Doig, C.J., Grant, C., Walker, R.E.A., Hisey, B.M., MacDonald, M.E., and Manske, S.L. Development and Validation of an Automated Segmentation Model of the Psoas Muscle in CT Scans Using Deep Learning-Based Segmentation: A Retrospective Study 2025 Alberta Biomedical Engineering Conference, 2025.
  32. Lofroth, N., Beaudoin, J., Morshedi, A., Pike, G.B., and MacDonald, M.E.. Developing a Fast Method for Mapping pH using Magnetic Resonance Imaging 2025 Canadian Association of Physicists Annual Conference, 2025.
  33. Beaudoin, J., Lofroth, N., and MacDonald, M.E.. Design of Gradient Coil Geometry for a Halbach-Based Ultra Low-Field MRI System 2025 Canadian Association of Physicists Annual Conference, 2025.
  34. Srabanti, M.G., MacDonald, M.E., Kadem, L., White, J.A., Flewitt, J., and Garcia, J. Creating Healthy Age-Sex-matched Left Ventricular Velocity Atlases and Extracting Energy-based Hemodynamics Using 4D-flow MRI 2025 IEEE Engineering in Medicine and Biology Society Annual Meeting, 2025.
  35. Liang, C., Mohite, A., and MacDonald, M.E.. Bias Adjustment in Neuro-Imaging Based Brain Age Gap Estimation University of British Columbia (UBC), Neuroscience Undergraduate Research Conference (NURC), 2025.
  36. Mezgebo, B., Lima, J., Addeh, A., Al-Khoury, Y., Bismar, T., MacDonald, M.E., and Pillai, D. Attention-Enhanced UNet for Automated Gleason Score 3 Tumor Segmentation in Histopathological Whole Slide Images 2025 IEEE International Symposium on Biomedical Imaging, 2025.
  37. Al-Khoury, Y., Addeh, A., Mezgebo, B., MacDonald, M.E., and Manske, S. Atlas Construction and Validation using Cone-Beam Computed Tomography Images of Healthy Adult Human Hands 2025 IEEE International Symposium on Biomedical Imaging, 2025.
  38. Oldreive, T.D.R., Sheronick, R., MacDonald, M.E., and Barber, P.A. Application of CT Perfusion-Trained Neural Network for Predicting Acute Ischemic Stroke Core in CT Angiography 2025 IEEE Engineering in Medicine and Biology Society Annual Meeting, 2025.
  39. Vega, F. and MacDonald, M.E.. AV1451 Tau PET Synthesis from T1-weighted MR Images with U-NET 2025 ISMRM Annual Meeting, 2025.
  40. Charatpangoon, P., Singh, N., Menon, B.K., Ganesh, A., and MacDonald, M.E.. A Harmonization Pipeline for Computed Tomography Perfusion Maps from Multiple Sites 2025 Brain & Brain PET Annual Meeting, 2025.
  41. Gahlot, Y., Al-Khoury, Y., MacDonald, M.E., and Manske, S. nnUNet Segmentation of Bones in CBCT Images of the Hand 2024 McCaig Institute Summer Student Symposium, 2024.
  42. Leskiw, N., Mohite, A., Ardila, K., Marzban, H., and MacDonald, M.E.. Utilizing Machine Learning to Identify Significant Genes Associated with Cerebellum-AGE Using the UK Biobank University of Calgary, Heritage Youth Researcher Summer (HYRS) Program Symposium, 2024.
  43. Hanley, J., Charatpangoon, P., Menon, B.K., Ganesh, A., and MacDonald, M.E.. Using Scaling Factor and neuroCombat to Harmonize Multi-site Cerebral Blood Flow Maps from CT Perfusion 2024 Alberta Biomedical Engineering Conference, 2024.
  44. Lofroth, N., Charatpangoon, P., Delannoy, P., Vega, F., Menon, B.K., Ganesh, A., and MacDonald, M.E.. U-NET-like Denoising Autoencoder for Noise Removal in Low-dose Computed Tomography Perfusion Images 2024 Alberta Biomedical Engineering Conference, 2024.
  45. Vega, F., Addeh, A., and MacDonald, M.E.. Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks 2024 ISMRM Annual Meeting, 2024.
  46. Addeh, A., Pike, G.B., and MacDonald, M.E.. The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI International Society of Magnetic Resonance in Medicine (ISMRM) Workshop on Motion Correction in MR, 2024.
  47. Plakhotnyk, A., Mortimer, T.D., Valdez-Tresanco, M., Westlund, A., Walker, B.J., Ulke-Lemee, A., Mansuri, A., MacKenzie, C., Ramamourthy, G., Mapar, M., Hepburn, M., Rydzak, T., Gregson, D., Pham, T.M., Grad, Y.H., Earl, A.M., Smith, J.T., Gilliland, R., MacDonald, M.E., Benediktsson, H., Groves, R., and Lewis, I.A. Silent Polymicrobial Infection: Prevalence of Same-Species Mixed Infections in 60 Staphylococcus aureus Bacteremias 2024 American Society of Microbiology - Microbe Annual Conference, 2024.
  48. Williams, R.J., Cohen, A., Lebel, R.M., MacDonald, M.E., Wang, Y., and Pike, G.B. Sex Differences and Age-Related Decline in Absolute Cerebral Metabolic Rate of Oxygen (CMRO2) Consumption 2024 ISMRM Annual Meeting, 2024.
  49. Shahidi, F., MacDonald, M.E., Seitz, D., and Messier, G. Risk Prediction of Homelessness and Police Interaction Outcomes Using Ensemble Hybrid Models with Administrative Data in Mental Health 2024 Alberta Biomedical Engineering Conference, 2024.
  50. Addeh, A., Vega, F., Ardila, K., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Respiratory Rate and Head Motion Dynamics: A Frequency Analysis Across Different Life Stages Using the Human Connectome Project (HCP) Dataset 2024 OHBM Annual Meeting, 2024.
  51. Hanley, J., Charatpangoon, P., and MacDonald, M.E.. Reducing Variability of Cerebral Blood Flow Between Sites using Data Harmonization 2024 Biomedical Engineering Summer Student Symposium, 2024.
  52. Charatpangoon, P., Mohite, A., Menon, B., Ganesh, A, and MacDonald, M.E.. Radiation Dose Reduction in Brain Computed Tomography Perfusion of Acute Ischemic Stroke Patients Using a Denoising Autoencoder 2024 IEEE-ISBI Annual Meeting, 2024.
  53. Zhang, J., MacDonald, M.E., Qui, W., and Ganesh, A. Probabilistic Residual-Diffusion Model Based on Enhancing Gradually Incremental Stabilization for Medical Image Generative Tasks 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
  54. Westlund, A., Walker, B.J., Plahotnyk, A., Ulke-Lemee, A., Morgan, C., Pham, T.M., Ramamourthy, G., Earl, A.M., Grad, Y.H., Benediktsson, H., MacDonald, M.E., and Lewis, I.A. Outcomes, Costs, and Severity of Bacteremia Caused by Related Pathogens that Cannot be Resolved via Current MALDI-TOF Mass Spectrometry Methods 2024 American Society of Microbiology - Microbe Annual Conference, 2024.
  55. Mahajna, M. and MacDonald, M.E.. Novel Uterine Contraction Monitoring Using a Remote Wireless Device 2024 Alberta Biomedical Engineering Conference, 2024.
  56. Ardila, K., Mohite, A., Munro, E., Vega, F., Curtis, C., Long, Q., and MacDonald, M.E.. Modelling the Impact of Genetics on the Aging of rfMRI Connectivity with Brain Age Gap Estimates using the UK Biobank 2024 OHBM Annual Meeting, 2024.
  57. Hepburn, M., Ulke-Lemee, A., Trescano, M., Walker, B.J., Earl, A.M., Grad, Y.H., Benediktsson, H., MacDonald, M.E., and Lewis I.A. Method for Molecular-Level Monitoring of Microbial Populations and Elucidating Protein Expression Regulons via High-Throughput Quantitative Proteomics 2024 American Society of Microbiology - Microbe Annual Conference, 2024.
  58. Addeh, A., Vega, F., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters 2024 ISMRM Annual Meeting, 2024.
  59. Church, E., Addeh, A., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Machine Learning Estimation of Cerebrovascular Reactivity from Resting-State BOLD fMRI 2024 Biomedical Engineering Summer Student Symposium, 2024.
  60. Gahlot, Y., Al-Khoury, Y., MacDonald, M.E., and Manske, S. Leveraging nnUNet to Automatically Segment Hand Bones in CBCT Images 2024 Biomedical Engineering Summer Student Symposium, 2024.
  61. Gilliland, R., Earl, A.M., Westlund, A., Walker, B.J., Plakhotnyk, A., Ulke-Lemee, A., MacKenzie, C., Hepburn, M., Pham, T.M., Ramamourthy, G., Grad, Y.M., Benediktsson, H., MacDonald, M.E., and Lewis, I.A. LC-MS as a Platform for Precision Medicine: Accurately Predicting Survival from Bloodstream Infections using a Training Set of 38,000 Microbial Proteomes 2024 American Society of Mass Spectometry Annual Conference, 2024.
  62. Mohite, A., Ardila, K., Charatpangoon, P., Munro, E., Long, Q., Curtis, C., and MacDonald, M.E.. Improving the Precision of Brain Age Gap Estimation Models with the Incorporation of Genetic Information using the UK Biobank 2024 IEEE-ISBI Annual Meeting, 2024.
  63. Spiian, A., Ardila, K., Mohite, A., Leskiw, N., Marzban, H., and MacDonald, M.E.. Genetic Contributions to Cerebellum Aging: A Machine Learning Analysis of UK Biobank Data 2024 Alberta Biomedical Engineering Conference, 2024.
  64. Spiian, A., Ardila, K., Mohite, A., Munro, E., and MacDonald, M.E.. Genetic Contributions to Brain Aging: A Machine Learning Analysis of UK Biobank Data 2024 Biomedical Engineering Summer Student Symposium, 2024.
  65. Lewis, I.A., Gregson, D., Earl, A.M., Grad, Y.H., Benediktsson, H., Walker, B.J., MacDonald, M.E., Mapar, M., Ulke-Lemee, A., Ramamourthy, G., Westlund, A., Pham, T.M., Valdez-Tresanco, M., MacKenzie, C., Mansuri, A., Hepburn, M., Plakhotnyk, A., Rydzak, T., Gilliland, R., and Groves, R. Evolution of Microbial Populations in Calgary Over 6-years: Insights from a Comprehensive Multi-omics Analysis of 38,000 Bloodstream Pathogens 2024 American Society of Microbiology - Microbe Annual Conference, 2024.
  66. Shahidi, F., MacDonald, M.E., Seitz, D., Barry, R., and Messier, G. Enhancing Multivariate Risk Prediction in Mental Health Using Ensemble Hybrid Models and Administrative Data with Irregular Intervals 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.
  67. Ulke-Lemee, A., Gilliland, R., Valdés-Tresanco, M., Hepburn, M., Groves, R., Westlund, A., Plakhotnyk, A., Ramamourthy, G., Gregson, D., Pham, T.M., Mortimer, T.D., Smith, J.T., Walker, B.J., Grad, Y.H., Earl, A.M., Benediktsson, H., MacDonald, M.E., and Lewis, I.A. Decoding Bloodstream Infections: Insights from the Calgary BSI Cohort and the First Systematic Multi-omic Virulence Map 2024 American Society of Microbiology - Microbe Annual Conference, 2024.
  68. Al-Khoury, Y., Vega, F., Barber, C.E.H., Hazlewood, G., Tse, J.J., MacDonald, M.E., and Manske, S. Cone Beam CT Super Resolution using Cycle Consistent Generative Adversarial Networks 2024 Alberta Biomedical Engineering Conference, 2024.
  69. Nordholt, T., Floer Garrido, J., Kuczynski, M., Morshedi, A., MacDonald, M.E., and Whittier, D. Computational Workflow for Spatial Analysis of Bone Morphology and Marrow Adiposity using MRI 2024 Alberta Biomedical Engineering Conference, 2024.
  70. Nordholt, T., Joseph Floer Garrido, Kuczynski, M., Morshed, A., MacDonald, M.E., and Whittier, D. Computational Workflow for Analysis of Bone Morphology and Marrow Distribution using MRI 2024 Biomedical Engineering Summer Student Symposium, 2024.
  71. Ulke-Lemee, A., Gilliland, R., Valdés-Tresanco, M., Hepburn, M., Groves, R., Westlund, A., Plakhotnyk, A., Ramamourthy, G., Gregson, D., Pham, T.M., Mortimer, T.D., Smith, J.T., Walker, B.J., Grad, Y.H., Earl, A.M., Benediktsson, H., MacDonald, M.E., and Lewis, I.A. Beyond the Biotyper: Leveraging LC-MS Proteomics to Systematically Map the Proteomes of 38,000 Bloodstream Infection isolates 2024 American Society of Mass Spectometry Annual Conference, 2024.
  72. Nordholt, T., Joseph Floer Garrido, Kuczynski, M., Morshed, A., MacDonald, M.E., and Whittier, D. Autonomous Mapping of Marrow Fat and Bone Structure with MRI 2024 McCaig Institute Summer Student Symposium, 2024.
  73. Al-Khoury, Y., Barber, C., Hazlewood, G., Finzel, S., Figueiredo, C., MacDonald, M.E., and Manske, S. Atlas-based Segmentation of Erosions in Cone-Beam Computed Tomography Images of Rheumatoid Arthritis Affected Hands 24th International Workshop on Quantitative Musculoskeletal Imaging (QMSKI), 2024.
  74. Al-Khoury, Y., MacDonald, M.E., and Manske, S. Atlas-based Segmentation of Bone Erosions in CBCT Images of Rheumatoid Arthritis Affected Hands 2024 Radiology Research Day, 2024.
  75. Al-Khoury, Y., MacDonald, M.E., and Manske, S. Atlas Construction and Validation using Healthy Hand Cone-Beam Computed Tomography Images 2024 McCaig Research Day, 2024.
  76. Gianchandani, N., MacDonald, M.E., and Souza, R. Voxel-wise Brain Age Prediction to Assess Brain Aging using T1-Weighted MRI 2023 Women in Data Science at the University of Calgary, 2023.
  77. Ardila, K., Munro, E., Vega, F., Mohite, A., Curtis, C., Tyndall, A.V., and MacDonald, M.E.. Using Machine Learning to Study the Genetic Effects on Brain Aging in the UK Biobank 2023 IEEE - International Symposium on Biomedical Imaging, 2023.
  78. Addeh, A., Vega, F., and MacDonald, M.E.. Using BOLD-fMRI to Compute Respiration Volume per Time (RVT) and Respiration Variation (RV) with Convolutional Neural Network (CNN) in Children 2023 Annual International Society of Magnetic Resonance in Medicine Scientific Meeting, 2023.
  79. Gilliland, R., Ulke-Lemee, A., Valdes-Tresanco, M.E., Hepburn, M., Groves, R., MacKenzie, C., Mansuri, A., Mapar, M., Plakhotnyk, A., Ramamourthy, G., Rydzak, T., Westlund, A., Pham, T.M., Smith, J.T., Salamzade, R., Wacker, S., Mortimer, T., Walker, B.J., Gregson, D.B., Earl, A.M., Grad, Y.H., MacDonald, M.E., and Lewis, I.A. The Diagnostic Relevance of Bloodstream Infection Host Factors 2023 Large Scale Applied Research Project LSARP Retreat Meeting, 2023.
  80. Lewis, I.A., Gregson, D, Clement, F., Earl, A., Grad, Y.H., Benediktsson, H., Walker, B., and MacDonald, M.E.. The Calgary BSI Cohort: guiding precision medicine from a 16-year multi-omics survey of infections 2023 American Society of Microbiology Microbe, 2023.
  81. Gianchandani, N., Dibaji, M., Bento, N., MacDonald, M.E., and Souza, R. Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach 2023 Interpretable Machine Learning in Healthcare, 2023.
  82. Plakhotnyk, A., Mortimer, T.D., Valdez-Tresanco, M., Westlund, A., Walker, B., Wacker, S., Ulke-Lemee, A., Mansuri, A., MacKenzie, C., Ramamourthy, G., Ma par, M., Hepburn, M., Rydzak, T., Gregson, D., Pham, T., Grad, Y., Earl, A., Smith, J., Gilliland, R., MacDonald, M.E., Hallgrimsson, B., Groves, R., and Lewis, I.A. Prevalence Of Multi-strain Infections In Staphylococcus Aureus Bacteremia: Insights From A City-wide Survey 2023 American Society of Microbiology Microbe, 2023.
  83. Westlund, A., Mansuri, A., Gregson, D., Wacker, S., Ulke-Lemee, A., Pham, T.M., Grad, Y.H., Benediktsson, H., Earl, A.M., MacDonald, M.E., Walker, B.J., and Lewis, I.A. Outcomes and Antibiotic-Resistance Fluctuates in Rising Blood Stream Infections in Calgary, Alberta over a 16-year period 2023 American Society of Microbiology Microbe, 2023.
  84. Ardila, K., Munro, E., Mohite, A., Curtis, C., Long, Q., and MacDonald, M.E.. Modelling the Impact of Genetics on the Aging of Cerebral White Matter with Brain Age Gap Estimates using the UK Biobank 24th Alberta Biomedical Engineering Conference, 2023.
  85. Ardila, K., Munro, E., and MacDonald, M.E.. Modeling the Impact of Genetics on Brain Aging: Identifying Genetic Associations with Age Gap Estimates using Neuroimaging and Genome Data from the UK Biobank 2023 Women in Data Science at the University of Calgary, 2023.
  86. Gilliland, R, Ulke-Lemee, A., Valdés-Tresanco, M.E., Westlund, A., Mansuri, A., Hepburn, M., Mortimer, T.D., Smith, J., Pham, T.M., Ramamourthy, G., Plakhotnyk, A., MacKenzie, C., Groves, R., Wacker, S., Rydzak, T., Mapar, M., Walker, B, Gregson, D, Grad, Y.H., Benediktsson, H, Earl, A.M., Lewis, I.A., and MacDonald, M.E.. Microbial Proteomic Traits Contribute to Staphylococcus aureus BSI Patient Mortality 2023 American Society of Microbiology Microbe, 2023.
  87. Charatpangoon, P., Singh, N., Almekhlafi, M.A., Swartz, R.H., Perera, K.S., Carrier, A., Menon, B.K., Ganesh, A, and MacDonald, M.E.. Method to Increase Enrolment Rates in Stroke Clinical Trials Using Automatic Matching Algorithms 2023 World Stroke Congress, 2023.
  88. Lewis, I.A., Gregson, D., Clement, F., Earl, A., Grad, Y.H., Benediktsson, H., Walker, B., and MacDonald, M.E.. Mass spectrometry-guided precision medicine: a new frontier for clinical microbiology 2023 American Society of Mass Spectometry Annual Conference, 2023.
  89. Addeh, A., Ardial Lopez, K., Vega, F., Golestani, A., and MacDonald, M.E.. Limitations of the Derived Respiratory Variation Measurements used in Functional Magnetic Resonance Imaging 2023 IEEE - International Symposium on Biomedical Imaging, 2023.
  90. Mohite, A. and MacDonald, M.E.. Leveraging Machine Learning to Study the Role of Genetics in Brain Age Gap Estimation: A Biomarker to Investigate Neurodegeneration Neurosciences, Rehabilitation & Vision Strategic Clinical Network (NRV SCN) Research Summit, 2023.
  91. Ulke-Lemee, A., Valdés-Tresanco, M.E., Gilliland, R., MacKenzie, C., Hepburn, M., Mapar, M., Groves, R., Mansuri, A., Plakhotnyk, A., Ramamourthy, G., Rydzak, T., Wacker, S., Westlund, A., Pham, T.M., Mortimer, T.D., Smith, J.T., Walker, B.J., Earl, A.M., Grad, Y.H., MacDonald, M.E., Gregson, D., and Lewis, I.A. Laying The Foundation For Virulence-guided Therapy: Insights From A City-wide Proteomics Survey Of Blood Stream Infections 2023 American Society of Microbiology Microbe, 2023.
  92. Wang, S., Ong, A., and MacDonald, M.E.. Investigating Choroid Plexus-Driven Amyloid-Beta Aggregation in Patients with Alzheimer’s Disease University of Calgary, Heritage Youth Researcher Summer (HYRS) Program Symposium, 2023.
  93. Vega, F., Addeh, A., and MacDonald, M.E.. Estimating Amyloid Beta from Magnetic Resonance Imaging Alzhiemer's Society of Alberta and the Northwest Territories - Hope for Tomorrow, 2023.
  94. Shahidi, F., MacDonald, M.E., Seitz, D., and Messier, G. Enhancing Prediction of Homelessness and Police Interaction Outcomes through Machine Learning Algorithms and Administrative Health Data Cohort Creation 24th Alberta Biomedical Engineering Conference, 2023.
  95. Addeh, A., Vega, F., Williams, R.J., Pike, G.B., and MacDonald, M.E.. Direct Estimation of Respiratory Variation Waveforms All the Way to the Edge of fMRI Scans 2023 Annual Organization of Human Brain Mapping, 2023.
  96. Vega, F., Addeh, A., and MacDonald, M.E.. Denoising Simulated Low-Field MRI (70mT) using Denoising AutoEncoders (DAE) and Cycle Consistent Generative Adversarial Network (Cycle-GAN) 2023 Annual International Society of Magnetic Resonance in Medicine Scientific Meeting, 2023.
  97. Mohite, A., Ardila, K., Munro, E., and MacDonald, M.E.. Comparison of Machine Learning Models for Brain Age Gap Estimation with Few Inputs Features - Developing a Biomarker to Investigate the Role of Genetics in Neurodegeneration 2023 Women in Data Science at the University of Calgary, 2023.
  98. Charatpangoon, P., Mohite, A., Vega, F., McDougall, C., Barber, B., Ganesh, A., and MacDonald, M.E.. Brain Age Gap Estimation for Transient Ischemic Attack (TIA) Patients Using Deep Learning Model with T1-weighted Structural MRI 24th Alberta Biomedical Engineering Conference, 2023.
  99. Hepburn, M., Valdes-Tresanco, M.E., Gilliland, R., Westlund, A., Ulke-Lemee, A., Wacker, S., Mansuri, A., G, Ramamourthy, Rydzak, T., Smith, S.T., Plakhotnyk, A., Mackenzie, C., Mapar, M., Walker, B.J., Earl, A.M., Benediktsson, H., Gregson, D.B., MacDonald, M.E., and Lewis, I.A. Blood Stream Isolates: What’s in a Proteome? 2023 American Society of Mass Spectometry Annual Conference, 2023.
  100. Liang, C., Mohite, A., and MacDonald, M.E.. Bias Adjustment in Neuro-Imaging Based Brain Age Gap Estimation University of Calgary, Heritage Youth Researcher Summer (HYRS) Program Symposium, 2023.
  101. Al-Khoury, Y., MacDonald, M.E., and Manske, S. Automatic Segmentation of Bone in Cone Beam CT Images 24th Alberta Biomedical Engineering Conference, 2023.
  102. Al-Khoury, Y., MacDonald, M.E., and Manske, S. Automatic Bone Segmentation of Hand Cone Beam CT Images Using an Edge-based Level-set Method University of Calgary, Biomedical Undergraduate Research Symposium, 2023.
  103. Fadamiro, A., Vega, F., and MacDonald, M.E.. Applying Machine Learning on Low-Field Portable MRI to Improve Pediatric Imaging 2023 ACHRI Research Retreat: One Child Every Child, 2023.
  104. Vega, F., Addeh, A., and MacDonald, M.E.. Amyloid-Beta PET Synthesis from Structural MRI: A Potential Alternative Method for Alzheimer’s Disease Screening 2023 Alzheimer's Association International Conference, 2023.
  105. Vega, F., Addeh, A., Elmenshawi, A., and MacDonald, M.E.. Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer’s Disease 2023 Annual International Society of Magnetic Resonance in Medicine Scientific Meeting, 2023.
  106. Gianchandani, N., MacDonald, M.E., and Souza, R. A Multitask Deep Learning Model for Voxel-level Brain Age Gap Estimation 2023 Machine Learning in Medical Imaging (MLMI 2023) - MICCAI, 2023.
  107. MacKenzie, C., Hepburn, M., Mortimer, T.D., Smith, J.T., Valdes-Tresanco, M.E., Ulke-Lemee, A., Ramamourthy, G., Wacker, S., Mapar, M., Rydzak, T., Groves, R., Mansuri, A., Westlund, A., Plakhotnyk, A., Gilliland, R., Pham, T., Walker, B.J., MacDonald, M.E., Gregson, D.B., Earl, A.M., Grad, Y.H., Benediktsson, H., and Lewis, I.A. A Genomic and Proteomic Survey of Traits that Modulate Antimicrobial Resistance in Staphylococcus aureus 2023 American Society of Microbiology Microbe, 2023.
  108. Bahadoripour, S., MacDonald, M.E., and Karimipour, H. A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems 2023 IEEE - International Conference on Industrial Technology, 2023.
  109. Hassan, S., Spiian, A., and MacDonald, M.E.. A Computational Approach to Understand the Effect of Lesions in Thalamotomy for Essential Tremor University of Calgary, Biomedical Undergraduate Research Symposium, 2023.
  110. Munro, E., Ardila, K., Mohite, A., Curtis, C., Tyndall, A.V., and MacDonald, M.E.. Using Machine Learning to Discover Genetic Effects on Brain Aging in the UK Biobank 23rd Alberta Biomedical Engineering Conference, 2022.
  111. Osman Jakpa, A., Taib, M., Nguyen, B., MacDonald, M.E., and Messier, G. Using Deep Learning and Interpretable AI to Predict Outcomes in Medical Data 23rd Alberta Biomedical Engineering Conference, 2022.
  112. Vega, F., Addeh, A., Elmenshawi, A., and MacDonald, M.E.. Towards a Non-invasive Method for Screening Alzheimer’s Disease: Image Translation to Estimate Amyloid-Beta Positron from Structural MRI 23rd Alberta Biomedical Engineering Conference, 2022.
  113. MacDonald, M.E., Fikre, E., Vega, F., and Addeh, A.. Simulation Evidence for use of a Denoising Auto-Encoder (DAE) to Improve Ultra-Low Field (64mT) MRI with a High Field (3T) Prior 31st ISMRM Annual Meeting, 2022.
  114. Shahidi, F., MacDonald, M.E., and Messier, G. Session-Based Recommender Systems and Hyper Parameter Optimization for Machine Learning of Administrative Data 23rd Alberta Biomedical Engineering Conference, 2022.
  115. Bowron, E., Addeh, A., Elmenshawi, A., Ardila Lopez, K., Medi, P., Mukherjee, S., Munro, E., Vega, F., and MacDonald, M.E.. Research Projects in the BIT Lab University of Calgary, Heritage Youth Researcher Summer (HYRS) Program Symposium, 2022.
  116. Williams, R.J., Specht, J., MacDonald, M.E., and Pike, G.B. Regional variation in the linear relationship between breath-hold cerebrovascular reactivity and BOLD fMRI activation 31st ISMRM Annual Meeting, 2022.
  117. Munro, E., Ardila, K., Mohite, A., Curtis, C., and MacDonald, M.E.. Preliminary Work using Machine Learning to Discover Genetic Effects on Brain Aging in the UK Biobank University of Calgary, Biomedical Undergraduate Research Symposium, 2022.
  118. Vega, F., Addeh, A., and MacDonald, M.E.. Preliminary Evidence of Two Dimensional Image Translation to Estimate Beta Amyloid PET from MRI 30th Brain and Brain PET - ISCBFM Meeting, 2022.
  119. Vega, F., Addeh, A., and MacDonald, M.E.. Preliminary Evidence of Two Dimensional Image Translation to Estimate Beta Amyloid PET from MRI Hotchkiss Brain Institute Research Day, 2022.
  120. Elmenshawi, A., Vega, F., and MacDonald, M.E.. Enhancing the Preprocessing Pipeline for Image Translation Models to make Beta-Amyloid Positron Emission Tomography (PET) from Structural Magnetic Resonance Imaging (MRI) University of Calgary, Biomedical Undergraduate Research Symposium, 2022.
  121. Addeh, A., Vega, F., and MacDonald, M.E.. Challenges of Respiratory Signals Measurement in fMRI Studies 23rd Alberta Biomedical Engineering Conference, 2022.
  122. Addeh, A., Chen, J.J., and MacDonald, M.E.. Reconstruction of Respiratory Volume Signal Variations Using BOLD Signals and Neural Network 2021 Alberta Biomedical Engineering Conference - Oral Presentation, 2021.
  123. Rajashekar, D., Wilms, M., MacDonald, M.E., Schimert, S., Hill, M., Goyal, M., Demchuk, A., Dukelow, S., and Forkert, N.D. Lesion-deficit relationships defined using NIHSS sub-scores in acute ischemic stroke patients 58th American Society of Neuroradiology Annual Meeting May 22-27:514, 2021.
  124. Fikre, E., Menon, B., and MacDonald, M.E.. Convolutional Autoencoder for Denoising Low Dose CT Perfusion Maps Canadian Undergraduate Biomedical Engineering Conference - Virtual Conference Organized at University of British Columbia, 2021.
  125. MacDonald, M.E., Scott, S., Liu, W.Q., Zhang, Y., Metz, L., and Pike, G.B. The Impact of Multiple Sclerosis Lesion Tract Burden on the Cortex 26th OHBM Scientific Meeting:401, 2020.
  126. Sun, H., MacDonald, M.E., Lebel, R.M., and Pike, G.B. Simultaneous T1-weighted imaging, R2 28th ISMRM Scientific Meeting:3207, 2020.
  127. Wilms, M., Bannister, J.J., Mouches, P., MacDonald, M.E., Rajashekar, D., and Forkert, N.D. Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows Machine Learning in Clinical Neuroimaging at MICCAI, 2020.
  128. McLean, M.A., Lebel, R.M., MacDonald, M.E., Boudreau, M., and Pike, G.B. Accelerated quantitative magnetization transfer (qMT) imaging using compressed sensing and parallel imaging 28th ISMRM Scientific Meeting:3137, 2020.
  129. Scott, S., MacDonald, M.E., Rajashekar, D., Liu, W.Q., Sun, H., Metz, L., Zhang, Y., and Pike, G.B. A Clustering Analysis of MS Lesions with T1-T2-weighted, Diffusion, QSM, and MTR Imaging 26th OHBM Scientific Meeting:286, 2020.
  130. MacDonald, M.E., Liu, W.Q., Scott, S., Rockel, C.P., Rajashekar, D., Specht, J.L., Sun, H., and Pike, G.B. White Matter Tract-Defined Lesion Loads in Relapsing-Remitting Multiple Sclerosis 27th ISMRM Scientific Meeting, 2019.
  131. Liu, W.Q., MacDonald, M.E., Pasha, R., Greenfield, J., Cerchiaro, G., Zhang, Y., Yong, V.W., Pike, G.B., and Metz, L.M. Pilot Trial of Domperidone for Remyelination in Relapsing Remitting Multiple Sclerosis endMS Conference 2019, 2019.
  132. MacDonald, M.E., Rajashekar, D., Williams, R.J., Sun, H., McCreary, C.R., Frayne, R., Forkert, N.D., and Pike, G.B. Machine learning methods for age prediction using cortical thickness and cerebral blood flow 25th OHBM Scientific Meeting:2704, 2019.
  133. Sun, H., MacDonald, M.E., Mazerolle, E.L., Sabourin, K., and Pike, G.B. Localization of GPi for MRgFUS pallidotomy: a comparison between high-resolution FGATIR, R2 27th ISMRM Scientific Meeting, 2019.
  134. MacDonald, M.E., Forkert, N.D., Hanganu, A., Ma, Y., Williams, R.J., Sun, H., Stafford, R., McCreary, C.M., Frayne, R., and Pike, G.B. Cerebrovascular Brain Aging Examined with Arterial Spin Labelling and Applied to Age Prediction 26th ISMRM Scientific Meeting, 2018.
  135. Williams, R.J., Specht, J., MacDonald, M.E., Lebel, R.M., Mazerolle, E.L., and Pike, G.B. Accounting for vascular reactivity to clarify the role of the subcortical regions in attention 24th OHBM Scientific Meeting:1761, 2018.
  136. Sun, H., Ma, Y., MacDonald, M.E., and Pike, G.B. Tikhonov regularization aided quantitative susceptibility mapping of whole brain without background field removal 25th ISMRM Scientific Meeting, 2017.
  137. Williams, R.J., Mazerolle, E.L., MacDonald, M.E., Berman, A.J.L., Luh, W.M., and Pike, G.B. Flow and metabolic coupling associated with positive and negative BOLD responses across retinotopic early visual cortices 3rd Imaging Cerebral Physiology Symposium, Cardiff, UK, 2017.
  138. Berman, A.J.L., Mazerolle, E.L., MacDonald, M.E., Blockley, N.P., Luh, W.M., and Pike, G.B. Correcting for imperfect spin echo refocusing in gas-free fMRI calibration 25th ISMRM Scientific Meeting, 2017.
  139. MacDonald, M.E., Williams, R.J., Forkert, N.D., Berman, A.J.L., McCreary, C.M., Frayne, R., and Pike, G.B. Consistency of Inter-Database Cortical Thinning with Age 25th ISMRM Scientific Meeting, 2017.
  140. McLean, M.A., MacDonald, M.E., Lebel, R.M., Boudreau, M., and Pike, G.B. Accelerated Z-Spectrum Imaging 25th ISMRM Scientific Meeting, 2017.
  141. Sun, H., MacDonald, M.E., Ma, Y., and Pike, G.B. Regularization-aided susceptibility inversion without background field removal 4th Quantitative Susceptibility Mapping Workshop:148, 2016.
  142. Williams, R.J., Mazerolle, E., MacDonald, M.E., Luh, W.M., and Pike, G.B. Positive and negative BOLD and CBF responses across the early visual regions 22nd Organization of Human Brain Mapping Annual Meeting, 2016.
  143. Sun, H., MacDonald, M.E., and Pike, G.B. Phase Correction of a Bipolar Gradient-Echo Acquisition for Quantitative Susceptibility Mapping 24th ISMRM Scientific Meeting, Singapore City, Republic of Singapore:2987, 2016.
  144. MacDonald, M.E., Berman, A.J.L., Williams, R.J., Mazerolle, E.L., and Pike, G.B. Modeling Resting Cerebral Perfusion from BOLD Signal Dynamics During Hyperoxia 24th ISMRM Scientific Meeting, Singapore City, Republic of Singapore:3831, 2016.
  145. MacDonald, M.E.. Dynamic Oxygen Passage Imaging for Perfusion Estimation 2016 Alberta Imaging Symposium, June 20th:18, 2016.
  146. MacDonald, M.E., Forkert, N.D., Pike, G.B., and Frayne, R. The Impact of Phase Errors on Mapping the Flow of the Cerebral Vasculature with Phase Contrast MRI 21st OHBM Scientific Meeting:2431, 2015.
  147. Smith, M.R., Adipour, P., Woehr, J., and MacDonald, M.E.. Overcoming the Image Position-Dependent Resolution Inherent in DFT and CS Reconstructions 23rd ISMRM Scientific Meeting, 2015.
  148. MacDonald, M.E.. Imaging Aging with MRI NSERC I3T CREATE Seminar Series, 2015.
  149. MacDonald, M.E., Berman, A.J.L., Williams, R.J., Mazerolle, E.L., and Pike, G.B. Bold Oxygenation Level Dependence (BOLD) Quantitative Susceptibility Mapping (QSM) at Different Head Orientations 23rd ISMRM Scientific Meeting:2120, 2015.
  150. Smith, M.R., Adibpour, P., Woehr, J., and MacDonald, M.E.. When “To DSP or not to DSP” in the context of Magnetic Resonance Imaging Reconstruction and Analysis International and Industrial Imaging Training (I3T) Advanced Imaging Seminar Series, 2014.
  151. Eilaghi, A., McLean, D.A., Gobbi, D.G., MacDonald, M.E., Lauzon, M.L., Salluzzi, M., and Frayne, R. Susceptibility Changes in Human Brain during Normal Aging using Quantitative Susceptibility Mapping 12th Imaging Network Ontario Symposium:13, 2014.
  152. Eilaghi, A., McLean, D.A., Gobbi, D.G., MacDonald, M.E., Lauzon, M.L., Salluzzi, M., and Frayne, R. Quantitative Susceptibility Mapping in Human Brain with Normal Aging 3rd International Workshop on MRI Phase Contrast & Quantitative Susceptibility Mapping, Duke University:56, 2014.
  153. Eilaghi, A., McLean, D.A., Gobbi, D.G., MacDonald, M.E., Lauzon, M.L., Salluzzi, M., and Frayne, R. Quantitative Susceptibility Mapping in Human Brain with Normal Aging 7th Annual Molecular and Functional Imaging Symposium:24, 2014.
  154. Dolati, P., MacDonald, M.E., Wong, J.H., and Frayne, R. Measuring Volume Flow Rates of Cerebral Blood Vessels in Healthy Human Subjects and Arteriovenious Malformations using Phase Contrast MRI 82nd American Association of Neurological Surgeons:1104, 2014.
  155. Dolati, P., MacDonald, M.E., Wong, J.H., and Frayne, R. Measuring Volume Flow Rates of Cerebral Blood Vessels in Healthy Human Subjects and Arteriovenious Malformations using Phase Contrast MRI Harvard neuroscience meeting, 2014.
  156. MacDonald, M.E., Lauzon, M.L., and Frayne, R. Imaging Battery for Brain Quantification 22nd ISMRM Scientific Meeting:1513, 2014.
  157. MacDonald, M.E., Lauzon, M.L., and Frayne, R. Imaging Battery for Brain Quantification 4th Alberta Imaging Symposium:6, 2014.
  158. MacDonald, M.E., Lee, E., Lee, T., Woehr, J., d’Esterre, C., Smith, M.R., and Frayne, R. Dual Compartmental Fitting of Dynamic Susceptibility Contrast MRI in Early Ischemic Stroke 22nd ISMRM Scientific Meeting:4601, 2014.
  159. MacDonald, M.E. and Frayne, R. Comparing Blood Flow on Contralateral Sides of the Brain 26th International Magnetic Resonance in Angiography Conference, 2014.
  160. Eilaghi, A., McLean, D.A., Gobbi, D.G., MacDonald, M.E., Lauzon, M.L., Salluzzi, M., and Frayne, R. Characterizing Magnetic Susceptibility Changes in the Human Brain in Normal Aging using Quantitative Susceptibility Mapping 4th Alberta Imaging Symposium:5, 2014.
  161. MacDonald, M.E., Dolati, P., Wong, J.H., and Frayne, R. Blood Volume Flow Rates of Vessels in the Healthy Human Cerebral Vasculature 22nd ISMRM Scientific Meeting:1839, 2014.
  162. MacDonald, M.E. and Frayne, R. Blood Flow through the Brain Measured with Phase Contrast MR Imaging Department of Radiology Research Day, 2014.
  163. MacDonald, M.E.. Phase Contrast in Cerebral Arteriovenious Malformations and Aneurysm 3rd Alberta Imaging Symposium, 2013.
  164. MacDonald, M.E., Dolati, P., Mitha, A., Wong, J., and Frayne, R. Phase Contrast Magnetic Resonance Imaging in Cerebrovascular Malformations: Towards Pressure Estimation 25th International Workshop on Magnetic Resonance Angiography:45, 2013.
  165. MacDonald, M.E., Lebel, R.M., and Frayne, R. Passive Magnetic Resonance Catheter Tracking with Spatial Wavelet and Temporal Constraints 2013.
  166. Kosior, R.K., Mahajan, A., Trevedi, A., MacDonald, M.E., Frayne, R., and Barber, P.A. Multimodal Quantitative MR Imaging in Acute Ischemic Stroke: Mapping Tissue Fate University of Calgary Leaders in Medicine Research Symposium, 2013.
  167. Lee, E., MacDonald, M.E., and Frayne, R. Improving Dynamic Contrast Enhanced MR Perfusion Measurements by Appropriate Selection of Acquisition Parameters 25th International Workshop on Magnetic Resonance Angiography:154, 2013.
  168. Smith, M.R., Woehr, J., Marasco, E., and MacDonald, M.E.. Impact of DFT Properties on the Inherent Resolution of Compressed Sensing Reconstruction Images 24th Irish Signals and Systems Conference 2013.
  169. Lee, E., MacDonald, M.E., and Frayne, R. Enhanced Dynamic Contrast Enhanced (DCE) MR for Brain Perfusion Imaging 4th Canadian Stroke Congress:28, 2013.
  170. Eilaghi, A., MacDonald, M.E., McCreary, C.R., Lauzon, M.L., Smith, E.E., Gobbi, D.G., Salluzzi, M., and Frayne, R. Characterization of Cerebral Microbleeds using Quantitative Susceptibility Mapping: Role of Imaging Clinical Trials of Dementia and Small Vessel Disease 4th Molecular Function and Imaging Symposium:21, 2013.
  171. MacDonald, M.E., Swailes, N., Smith, M.R., Nielsen, J., and Frayne, R. The Cramer Rao Lower Bound of Magnetic Resonance Phase Image Acquisitions: Comparison with Bayesian Constrained Reconstruction Accelerated Magnetic Resonance Imaging 3rd International Workshop, 2012.
  172. MacDonald, M.E., Dolati, P., Wong, J.H., Leung, T., Nielsen, J., and Frayne, R. Sensitivity of phase-contrast derived velocity and stress fields to receiver bandwidth at the circle of Willis 24th Annual International Magnetic Resonance Angiography Club Meeting:44, 2012.
  173. MacDonald, M.E.. Real-Time 3D MRI with Random Undersampling Trajectories to Visualize Endovascular Catheters and Contrast Inflow. 4th Annual Radiology Research Dinner 2012.
  174. MacDonald, M.E., Adair, D., Dolati, P., Yerly, J., and Frayne, R. Real-Time 3D MRI with Random Undersampling Trajectories to Visualize Endovascular Catheters and Contrast Inflow 20th ISMRM Scientific Meeting:2274, 2012.
  175. MacDonald, M.E., Adair, D., Dolati, P., Yerly, J., and Frayne, R. Real-Time 3D MRI with Random Undersampling Trajectories to Visualize Endovascular Catheters and Contrast Inflow 2nd Alberta Imaging Symposium, 2012.
  176. Beladi, S., McCreary, C.R., Smith, E.E., Lauzon, M.L., MacDonald, M.E., and Frayne, R. Quantitative Susceptibility Mapping as an Improved Biomarker for Cerebral Microbleeds in Small Vessel Disease 20th ISMRM Scientific Meeting:1027, 2012.
  177. Lee, E., MacDonald, M.E., and Frayne, R. Optimal Repetition Time Ranges for Dynamic Contrast Enhanced T1-weighted Magnetic Resonance Imaging 13th Alberta Biomedical Engineering Meeting:60, 2012.
  178. MacDonald, M.E., Dolati, P., Anderson, L., McCreary, C.R., Wong, J.H., and Frayne, R. Measurement of Perfusion during Transient Carotid Occlusion 20th ISMRM Scientific Meeting:1026, 2012.
  179. MacDonald, M.E., Dolati, P., Andersen, L.B., McCreary, C.R., Wong, J., and Frayne, R. Measurement of Perfusion during Transient Carotid Occlusion 2nd Alberta Imaging Symposium:1026, 2012.
  180. MacDonald, M.E., Menon, B., Dolati, P., Goyal, M., and Frayne, R. Arterial Spin Labeling Applications of Ischemic Stroke. 3rd Canadian Stroke Congress 2012.
  181. Swailes, N.E., MacDonald, M.E., and Frayne, R. Acquisition and Reconstruction of MR Images for Quantitative Susceptibility Mapping 4th Seaman Family MR Research Centre Summer Student Symposium, Foothills Medical Centre, 2012.
  182. Adair, D., MacDonald, M.E., and Frayne, R. A 3D Real-Time Magnetic Resonance Imaging Application to Visualize Contrast Inflow 2nd Alberta Imaging Symposium, 2012.
  183. Smith, M.R., MacDonald, M.E., Marasco, E., Salluzzi, M., Gauderon, P., and Frayne, R. Which 1980’s and 1990’s super-resolution reconstruction ideas would prove useful when 2011’s compressed sensing reconstruction is used for MR sparse angiography? 23rd International Magnetic Resonance Angiography Club Meeting:141, 2011.
  184. MacDonald, M.E., Lauzon, M.L., Nielsen, J., and Frayne, R. Numerical Simulations to Evaluate the CRLB in MRI Advanced Imaging Reconstruction Workshop. Natural Sciences and Engineering Research Council (NSERC) Collaborative Research and Training Experience Program (CREATE, 2011.
  185. MacDonald, M.E., Smith, M.R., and Frayne, R. Improving CBF Image Contrast with Frequency Extrapolation for DSC-MRI during Acute Stroke 19th ISMRM Scientific Meeting:1976, 2011.
  186. Adair, D., MacDonald, M.E., and Frayne, R. Implementation and Applications of Real-time 3D Magnetic Resonance Imaging 3rd Seaman Family MR Research Centre Summer Student Symposium, Foothills Medical Centre, 2011.
  187. MacDonald, M.E., Swailes, N., Andersen, L.B., McCreary, C.R., and Frayne, R. Guidance to the Branching Vessels of the Aortic Arch with Passive MR Catheter Tracking 19th ISMRM Scientific Meeting:771, 2011.
  188. MacDonald, M.E., Lauzon, M.L., Nielsen, J., and Frayne, R. Determining the Cramer Rao Lower Bound of Magnetic Resonance Imaging Joint American Association of Medical Physicists (AAPM) and Canadian Organization of Medical Physicists (COMP) Scientific Meeting:3425, 2011.
  189. MacDonald, M.E., Anderson, L.B., McCreary, C.R., and Frayne, R. Catheter Tracking using Passive Magnetic Resonance Imaging into the Ascending Aorta 23rd International Magnetic Resonance Angiography Club Meeting:158, 2011.
  190. Adair, D., MacDonald, M.E., and Frayne, R. A 3D Real-Time Magnetic Resonance Imaging Application to Visualize Contrast Inflow 12th Alberta Biomedical Engineering Meeting:87, 2011.
  191. Stafford, R.B., MacDonald, M.E., and Frayne, R. Real-Time Gradient Warp Correction with OpenGL NURBS Surfaces 18th ISMRM Scientific Meeting:3110, 2010.
  192. MacDonald, M.E.. Real Time Magnetic Resonance Imaging for Passive Catheter Tracking. 2nd Annual Radiology Research Dinner 2010.
  193. MacDonald, M.E., Stafford, R.B., Lauzon, M.L., and Frayne, R. One step real-time image correction with GUSTO (Gradient-warp and UnderSampling Transform Operator 18th ISMRM Scientific Meeting:3109, 2010.
  194. Swailes, N.E., MacDonald, M.E., and Frayne, R. Closed-Loop Circulation Phantom with Heart and Lung Motion for Validating Passive Catheter Tracking 11th Alberta Biomedical Engineering Meeting:25, 2010.
  195. Swailes, N.E., MacDonald, M.E., and Frayne, R. Circulation Phantom with Closed-Loop Heart and Lung Motion 2nd Seaman Family MR Research Summer Student Symposium, 2010.
  196. MacDonald, M.E., Stafford, R.B., and Frayne, R. Real Time Magnetic Resonance Imaging for Angioplasty 55th Annual Canadian Organization of Medical Physicists Scientific Conference:84--86, 2009.
  197. Sevick, L., MacDonald, M.E., Stafford, R.B., Bell, D., and Frayne, R. Portraying Vocalism with Magnetic Resonance Technology 1st Seaman Family MR Research Summer Student Symposium, Foothills Medical Centre, 2009.
  198. MacDonald, M.E., Frayne, R., and Smith, M.R. Extrapolation Methods for Improving MR Perfusion Measurements 32nd Canadian Medical and Biological Engineering Conference:1--4, 2009.
  199. MacDonald, M.E., Frayne, R., and Smith, M.R. Using Fourier Domain Extrapolation to Improve Cerebral Blood Flow Accuracy Biomedical Engineering Summer Student Symposium, 2008.
  200. MacDonald, M.E., Frayne, R., and Smith, M.R. Fourier Domain Extrapolation to Improve Cerebral Blood Flow Accuracy 9th Alberta Biomedical Engineering Meeting:40, 2008.

Theses

  1. Quantitative Cerebrovascular Magnetic Resonance Imaging. PhD thesis, University of Calgary, 2014.
  2. Passive Catheter Tracking in the Carotid Artery with Accelerated Magnetic Resonance Imaging. MSc thesis, University of Calgary, 2010.