Contact information
Stefan K Piechnik
DSc, PhD, MScEE, FSCMR
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 >19'000 citations, resulting in a h-index of 71 . 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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Diagnostic utility of electrocardiogram for screening of cardiac injury on cardiac magnetic resonance in post-hospitalised COVID-19 patients: a prospective multicenter study.
Journal article
Samat AHA. et al, (2024), Int J Cardiol, 415
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Clinical Significance of Myocardial Injury in Patients Hospitalized for COVID-19: A Prospective, Multicenter, Cohort Study.
Journal article
Shiwani H. et al, (2024), JACC Cardiovasc Imaging
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Intravenous iron therapy results in rapid and sustained rise in myocardial iron content through a novel pathway.
Journal article
Vera-Aviles M. et al, (2024), Eur Heart J
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Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-Segment Elevation Myocardial Infarction.
Journal article
Shanmuganathan M. et al, (2024), JACC Cardiovasc Imaging
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Deep learning for automated insertion point annotation of CMR T1 maps
Conference paper
Gonzales RA. et al, (2024)
ORCID
0000-0002-0268-5221