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.
Cardiac Remodeling After Hypertensive Pregnancy Following Physician-Optimized Blood Pressure Self-Management: The POP-HT Randomized Clinical Trial Imaging Sub-study.
Kitt J. et al, (2023), Circulation
Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study.
C-MORE/PHOSP-COVID Collaborative Group None., (2023), Lancet Respir Med, 11, 1003 - 1019
Repurposing the β3-Adrenergic Receptor Agonist Mirabegron in Patients With Structural Cardiac Disease: The Beta3-LVH Phase 2b Randomized Clinical Trial.
Balligand J-L. et al, (2023), JAMA Cardiol, 8, 1031 - 1040
Gadolinium-free Virtual Native Enhancement for chronic myocardial infarction assessment: independent blinded validation and reproducibility between two centres
THOMPSON P. et al, (2023), Global CMR 2024 Scientific Sessions
Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images
Gonzales RA. et al, (2023)