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Websites
Mayooran Shanmuganathan
BSc (Hons), MBBS, MRCP
Cardiology Research Fellow, DPhil Student
Application of multiparametric Cardiovascular Magnetic Resonance Imaging (CMR) in acute myocardial injury
Research
My DPhil focusses on the clinical application of modern multi-parametric CMR imaging in the acute clinical setting in order to make a diagnosis, informed decisions on treatment strategies and estimate long-term prognosis. I also work on research projects involving artificial intelligence in CMR imaging and the development of novel non-invasive tools to study the physiology of epicardial coronary blood flow and microvascular resistance.
A list of research publications can be found here.
Recent publications
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Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19
Journal article
Shanmuganathan M. et al, (2023), Frontiers in Cardiovascular Medicine, 10
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Myocardial Involvement After Hospitalization for COVID-19 Complicated by Troponin Elevation: A Prospective, Multicenter, Observational Study.
Journal article
Artico J. et al, (2023), Circulation, 364 - 374
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Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI.
Journal article
Shanmuganathan M. et al, (2023), JACC Cardiovasc Imaging, 16, 46 - 59
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Artificial Intelligence for Contrast-free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-based Virtual Native Enhancement (VNE).
Journal article
Zhang Q. et al, (2022), Circulation
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TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function
Conference paper
Gonzales RA. et al, (2022), European Heart Journal - Cardiovascular Imaging, 23