Michelle Williams (MBChB BSc Med Sci PhD BA MRCP FRCR FSCCT)
Senior Clinical Research Fellow
Address
- Street
-
The Queen's Medical Research Institute,
Edinburgh BioQuarter,
47 Little France Crescent - City
- Edinburgh
- Post code
- EH16 4TJ
Research summary
My British Heart Foundation funded research centres around multi-modality imaging of the heart, lungs and blood vessels. I use state-of-the-art machine learning techniques to discover new information in medical imaging.
My research involves computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging of various cardiovascular diseases, and in particular coronary artery disease.
I am a member of the steering committee of the SCOT-HEART and SCOT-HEART2 trials, which investigate the use of computed tomography coronary angiography to identify coronary artery disease.
-
Latent Coronary Plaque Morphology From Computed Tomography Angiography, Molecular Disease Activity on Positron Emission Tomography, and Clinical Outcomes
In:
Arteriosclerosis, Thrombosis, and Vascular Biology
DOI: https://doi.org/10.1161/ATVBAHA.123.319332
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Aortic sodium [18 F]fluoride uptake following endovascular aneurysm repair
In:
Heart, pp. heartjnl-2023-322514
DOI: https://doi.org/10.1136/heartjnl-2023-322514
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Coronary Atherosclerotic Plaque Activity and Future Coronary Events
In:
JAMA Cardiology
Research output: Contribution to Journal › Article (Accepted/In press) -
Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
In:
BJR|Open
DOI: https://doi.org/10.1259/bjro.20220021
Research output: Contribution to Journal › Review article (E-pub ahead of print) -
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
In:
European Journal of Nuclear Medicine and Molecular Imaging
DOI: https://doi.org/10.1007/s00259-023-06218-z
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Non‐invasive imaging of functional pancreatic islet beta‐cell mass in people with type 1 diabetes mellitus
In:
Diabetic Medicine
DOI: https://doi.org/10.1111/dme.15111
Research output: Contribution to Journal › Article (Published) -
How will artificial intelligence transform cardiovascular computed tomography?: A conversation with an AI model
In:
Journal of Cardiovascular Computed Tomography
DOI: https://doi.org/10.1016/j.jcct.2023.03.010
Research output: Contribution to Journal › Letter (E-pub ahead of print) -
Artificial intelligence-based Text-to-image Generation of Cardiac CT
In:
Radiology: Cardiothoracic Imaging, vol. 5
DOI: https://doi.org/10.1148/ryct.220297
Research output: Contribution to Journal › Article (Published) -
State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation
In:
Journal of Cardiovascular Computed Tomography
DOI: https://doi.org/10.1016/j.jcct.2023.03.002
Research output: Contribution to Journal › Review article (E-pub ahead of print) -
Artificial intelligence for imaging of vulnerable coronary plaque: making the impossible possible
In:
Nature Reviews Cardiology
Research output: Contribution to Journal › Article (Accepted/In press) -
Role of Computed Tomography Cardiac Angiography in Acute Chest Pain Syndromes
In:
Heart
DOI: https://doi.org/10.1136/heartjnl-2022-321360
Research output: Contribution to Journal › Article (Published) -
The Journal of Cardiovascular Computed Tomography: A year in review: 2022
In:
Journal of Cardiovascular Computed Tomography
DOI: https://doi.org/10.1016/j.jcct.2023.03.001
Research output: Contribution to Journal › Review article (E-pub ahead of print) -
Current and Future Applications of Artificial Intelligence in Cardiac CT
In:
Current cardiology reports, vol. 25, pp. 109-117
DOI: https://doi.org/10.1007/s11886-022-01837-8
Research output: Contribution to Journal › Article (Published) -
Does Coronary Plaque Morphology Matter Beyond Plaque Burden?
In:
Current atherosclerosis reports
DOI: https://doi.org/10.1007/s11883-023-01088-0
Research output: Contribution to Journal › Article (Published) -
Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging
In:
Nature Reviews Cardiology
Research output: Contribution to Journal › Article (Accepted/In press) -
Deep-Learning for Epicardial Adipose Tissue Assessment with Computed Tomography: Implications for Cardiovascular Risk Prediction
In:
JACC: Cardiovascular Imaging
DOI: https://doi.org/10.1016/j.jcmg.2022.11.018
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Deep Learning Estimation of Three-Dimensional Left Atrial Shape from Two-Chamber and Four-Chamber Cardiac Long Axis Views
In:
European Heart Journal - Cardiovascular Imaging
DOI: https://doi.org/10.1093/ehjci/jead010
Research output: Contribution to Journal › Article (Published) -
Predictors of plaque progression on coronary computed tomography angiography
In:
JACC: Cardiovascular Imaging
DOI: https://doi.org/10.1016/j.jcmg.2022.11.019
Research output: Contribution to Journal › Editorial (Published) -
Serum Lipoprotein(a) and Bioprosthetic Aortic Valve Degeneration
In:
European Heart Journal - Cardiovascular Imaging
DOI: https://doi.org/10.1093/ehjci/jeac274
Research output: Contribution to Journal › Article (E-pub ahead of print) -
National Trends in Coronary Artery Disease Imaging: Associations With Health Care Outcomes and Costs
In:
JACC: Cardiovascular Imaging
DOI: https://doi.org/10.1016/j.jcmg.2022.10.022
Research output: Contribution to Journal › Article (E-pub ahead of print)