Contact information
DPHIL OPPORTUNITIES AVAILABLE
Stefan K Piechnik
DSc, PhD, MScEE, FSCMR
Associate Professor of Biomedical Imaging
- Head of Advanced Cardiovascular Image Processing
Over the past 30+ years, I have applied my engineering background to interdisciplinary biomedical research, including mathematical and biophysical modelling, measurement systems and methods design, direct clinical measurements, imaging and estimation using PET, SPECT, and MR, and the clinical and self-assessment approaches. Applications include wide range of clinical specialties in Neurosciences (Neurosurgery, Neurology and Psychiatry), Dermatology, Cardiovascular and Internal Medicine. Over the course of my work I co-authored 7 patent applications, >300 research articles, attracting >18'000 citations, resulting in a h-index of 70 . My most recent focus is in the clinical application of CMR parametric tissue characterisation techniques, in particular T1 mapping, big data and applications of artificial intelligence to reduce the use of injectable contrast agents.
Recent publications
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Editorial Expression of Concern: Splenic T1-mapping: a novel quantitative method for assessing adenosine stress adequacy for cardiovascular magnetic resonance.
Journal article
Liu A. et al, (2023), J Cardiovasc Magn Reson, 25
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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 changes in myocardial tissue characteristics during hospitalization in patients with COVID-19.
Journal article
Shanmuganathan M. et al, (2023), Front Cardiovasc Med, 10
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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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3-Dimensional Strain Analysis of Hypertrophic Cardiomyopathy: Insights From the NHLBI International HCM Registry.
Journal article
Heydari B. et al, (2022), JACC Cardiovasc Imaging
ORCID
0000-0002-0268-5221