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
SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
Chapter
Liu J. et al, (2026), 15967 LNCS, 457 - 466
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
Chapter
Du A. et al, (2026), 15975 LNCS, 460 - 469
Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank coronavirus disease 2019 repeat imaging study.
Journal article
Chadalavada S. et al, (2025), Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 27
Generalist deep learning for cross-modality landmark annotation in cardiovascular magnetic resonance
Conference paper
Gonzales RA. et al, (2025)
Baseline serum ferritin predicts myocardial iron uptake following intravenous iron therapy - a hypothesis-generating study.
Journal article
Nunez J. et al, (2025), Eur J Heart Fail, 27, 2352 - 2356
ORCID
0000-0002-0268-5221
