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
Predictors of Long-Term Outcomes in Hypertrophic Cardiomyopathy: The NHLBI HCM Registry.
Journal article
HCMR Investigators . et al, (2026), JAMA
Quantifying the Spectrum of Myocardial Fibrosis with Cardiovascular MRI: A Histopathologic Validation Study in Swine.
Journal article
Zhang H. et al, (2026), Radiol Cardiothorac Imaging, 8
Differentiating ischemic from healthy myocardium using cardiovascular magnetic resonance dipyridamole rest and stress T1 mapping.
Journal article
Chang Y-T. et al, (2026), Sci Rep, 16
Myocardial fibrosis and tissue alterations predict cardiovascular outcomes in chronic kidney disease-a prospective virtual twin study design using large-scale population database.
Journal article
Vavilis G. et al, (2026), Front Cardiovasc Med, 13
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
Chapter
Du A. et al, (2026), 15975 LNCS, 460 - 469
ORCID
0000-0002-0268-5221