DPHIL OPPORTUNITIES AVAILABLE
Stefan K Piechnik
DSc, PhD, MScEE, FSCMR
Associate 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, >340 research articles, attracting >13'000 citations, resulting in a h-index of 62 . My most recent focus is in the clinical application of CMR parametric tissue characterisation techniques, in particular T1 mapping, big data and the related applications of artificial intelligence.
Mitral Annular Disjunction Assessed Using CMR Imaging: Insights From the UK Biobank Population Study.
Zugwitz D. et al, (2022), JACC Cardiovasc Imaging
Artificial Intelligence for Contrast-free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-based Virtual Native Enhancement (VNE).
Zhang Q. et al, (2022), Circulation
Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function.
Aung N. et al, (2022), Nat Genet, 54, 783 - 791
Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.
Gheorghiță BA. et al, (2022), Sci Rep, 12
Light to moderate coffee consumption is associated with lower risk of death: a UK Biobank study.
Simon J. et al, (2022), Eur J Prev Cardiol