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.
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Evaluation of an Artificial Intelligence Coronary Artery Calcium Scoring Model from Computed Tomography
In:
European Radiology
Research output: Contribution to Journal › Article (Accepted/In press) -
State of the art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements - a consensus document by the European Society of Cardiovascular Radiology (ESCR)
In:
European Radiology
Research output: Contribution to Journal › Article (Accepted/In press) -
State of the art CT and MR imaging and assessment of carotid artery disease: the reporting - a consensus document by the European Society of Cardiovascular Radiology (ESCR)
In:
European Radiology
Research output: Contribution to Journal › Article (Accepted/In press) -
Quantifying sodium [18F]fluoride uptake in abdominal aortic aneurysms
In:
EJNMMI research
DOI: https://doi.org/10.1186/s13550-022-00904-z
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19
In:
Journal of the American College of Cardiology, vol. 79, pp. 2001-2017
DOI: https://doi.org/10.1016/j.jacc.2022.03.348
Research output: Contribution to Journal › Article (Published) -
Automated nonlinear registration of coronary PET to CT angiography using pseudo-CT generated from PET with generative adversarial networks
In:
Journal of Nuclear Medicine
Research output: Contribution to Journal › Article (Accepted/In press) -
Plaque burden and one-year outcomes in patients with acute chest pain: Results from the multicenter Rapid Assessment of Potential Ischemic heart Disease with CT Coronary Angiography trial
In:
JACC: Cardiovascular Imaging
Research output: Contribution to Journal › Article (Accepted/In press) -
18F-NaF PET-MRI for detection of Carotid Atheroma in acute neurovascular syndrome
In:
Radiology
Research output: Contribution to Journal › Article (Accepted/In press) -
Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence
In:
Stroke, vol. 53, pp. 2393-2403
DOI: https://doi.org/10.1161/STROKEAHA.121.036204
Research output: Contribution to Journal › Article (Published) -
Hepatosteatosis and atherosclerotic plaque on coronary computed tomography angiography
In:
Radiology: Cardiothoracic Imaging
Research output: Contribution to Journal › Article (Accepted/In press) -
Radiologist opinions regarding reporting incidental coronary and cardiac calcification on thoracic CT
In:
BJR|Open, vol. 4
DOI: https://doi.org/10.1259/bjro.20210057
Research output: Contribution to Journal › Article (Published) -
18F-Sodium Fluoride Positron Emission Tomography and Computed Tomography in Acute Aortic Syndrome
In:
JACC: Cardiovascular Imaging
DOI: https://doi.org/10.1016/j.jcmg.2022.01.003
Research output: Contribution to Journal › Article (Published) -
Worldwide Disparities in Recovery of Cardiac Testing One Year into COVID-19: The 107-Country INCAPS-COVID-2 Study
In:
JACC: Cardiovascular Imaging
Research output: Contribution to Journal › Article (Accepted/In press) -
Sex-based differences in outcomes related to thoracic aorta dimensions on Chest CT
In:
Radiology
Research output: Contribution to Journal › Editorial (Accepted/In press) -
The Fallacy of the Power of Zero
In:
JACC: Cardiovascular Imaging
Research output: Contribution to Journal › Editorial (Accepted/In press) -
Radiomics and Machine Learning for Detecting Scar Tissue on CT Delayed Enhancement Imaging
In:
Frontiers in Cardiovascular Medicine
Research output: Contribution to Journal › Article (Accepted/In press) -
CORONARY CT ANGIOGRAPHY IS THE BEST TEST IN ASYMPTOMATIC PATIENTS
In:
Journal of Cardiovascular Computed Tomography
Research output: Contribution to Journal › Review article (Accepted/In press) -
Pericoronary adipose tissue attenuation, low-attenuation plaque burden and 5-year risk of myocardial infarction
In:
JACC: Cardiovascular Imaging
Research output: Contribution to Journal › Article (Accepted/In press) -
Deep learning from coronary computed tomography angiography for atherosclerotic plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
In:
The Lancet Digital Health
Research output: Contribution to Journal › Article (Accepted/In press) -
Coronary artery and cardiac disease in patients with type 2 myocardial infarction: A prospective cohort study
In:
Circulation
Research output: Contribution to Journal › Article (Accepted/In press)