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.
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
Ng M. et al, (2023), IEEE Trans Biomed Eng, 70, 1955 - 1966
Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy.
Hermida U. et al, (2023), Eur Heart J Cardiovasc Imaging, 24, 807 - 818
3-Dimensional Strain Analysis of Hypertrophic Cardiomyopathy: Insights From the NHLBI International HCM Registry.
Heydari B. et al, (2023), JACC Cardiovasc Imaging, 16, 478 - 491
Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank.
Raisi-Estabragh Z. et al, (2023), JACC Cardiovasc Imaging, 16, 450 - 460
Myocardial Involvement After Hospitalization for COVID-19 Complicated by Troponin Elevation: A Prospective, Multicenter, Observational Study.
Artico J. et al, (2023), Circulation, 147, 364 - 374