| Toward replacing late gadolinium enhancement with artificial intelligence virtual native enhancement for gadolinium-free cardiovascular magnetic resonance tissue … Q Zhang, MK Burrage, E Lukaschuk, M Shanmuganathan, IA Popescu, ... Circulation 144 (8), 589-599, 2021 | 61 | 2021 |
| Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping E Hann, IA Popescu, Q Zhang, RA Gonzales, A Barutçu, S Neubauer, ... Medical image analysis 71, 102029, 2021 | 55 | 2021 |
| maskSLIC: Regional Superpixel Generation with Application to Local Pathology Characterisation in Medical Images B Irving, IA Popescu, R Bates, PD Allen, AL Gomes, P Kannan, ... | 39 | 2017 |
| Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping Q Zhang, E Hann, K Werys, C Wu, I Popescu, E Lukaschuk, A Barutcu, ... Artificial intelligence in medicine 110, 101955, 2020 | 31 | 2020 |
| Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement Q Zhang, MK Burrage, M Shanmuganathan, RA Gonzales, E Lukaschuk, ... Circulation 146 (20), 1492-1503, 2022 | 26 | 2022 |
| Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges IA Popescu, K Werys, Q Zhang, H Puchta, E Hann, E Lukaschuk, ... international Journal of cardiology 326, 220-225, 2021 | 25 | 2021 |
| Quality control-driven image segmentation towards reliable automatic image analysis in large-scale cardiovascular magnetic resonance aortic cine imaging E Hann, L Biasiolli, Q Zhang, IA Popescu, K Werys, E Lukaschuk, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 24 | 2019 |
| Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials–A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study Q Zhang, K Werys, IA Popescu, L Biasiolli, NAB Ntusi, M Desai, ... International journal of cardiology 330, 251-258, 2021 | 22 | 2021 |
| Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls MK Burrage, M Shanmuganathan, A Masi, E Hann, Q Zhang, IA Popescu, ... International Journal of Cardiology 333, 239-245, 2021 | 15 | 2021 |
| Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study B Raman, C McCracken, MP Cassar, AJ Moss, L Finnigan, AHA Samat, ... The Lancet Respiratory Medicine 11 (11), 1003-1019, 2023 | 11 | 2023 |
| MOCOnet: robust motion correction of cardiovascular magnetic resonance T1 mapping using convolutional neural networks RA Gonzales, Q Zhang, BW Papież, K Werys, E Lukaschuk, IA Popescu, ... Frontiers in Cardiovascular Medicine 8, 768245, 2021 | 10 | 2021 |
| Ensemble of deep convolutional neural networks with monte carlo dropout sampling for automated image segmentation quality control and robust deep learning using small datasets E Hann, RA Gonzales, IA Popescu, Q Zhang, VM Ferreira, SK Piechnik Annual Conference on Medical Image Understanding and Analysis, 280-293, 2021 | 10 | 2021 |
| Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods MK Burrage, M Shanmuganathan, Q Zhang, E Hann, IA Popescu, ... Scientific Reports 11 (1), 13568, 2021 | 10 | 2021 |
| Total mapping toolbox (TOMATO): an open source library for cardiac magnetic resonance parametric mapping K Werys, I Dragonu, Q Zhang, I Popescu, E Hann, H Puchta, A Kubik, ... SoftwareX 11, 100369, 2020 | 9 | 2020 |
| Myocardial scar quantification using SLIC supervoxels - Parcellation based on tissue characteristic strains IA Popescu, B Irving, A Borlotti, E Dall'Armellina, V Grau STACOM Statistical atlases and computational models of the heart, 2017 | 7 | 2017 |
| Enhancement of medical images Q Zhang, S Piechnik, V Ferreira, H Evan, IA Popescu US Patent App. 17/639,926, 2022 | 3 | 2022 |
| Automated lge myocardial scar segmentation using maskslic supervoxels-replicating the clinical method IA Popescu, A Borlotti, E Dall’Armellina, V Grau Annual Conference on Medical Image Understanding and Analysis, 229-236, 2017 | 3* | 2017 |
| Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images RA Gonzales, DH Ibáñez, E Hann, IA Popescu, MK Burrage, YP Lee, ... Frontiers in Cardiovascular Medicine 10, 1213290, 2023 | 1 | 2023 |
| Validation of quantitative magnetic resonance imaging protocols Q Zhang, S Piechnik, K Werys, IA Popescu, V Ferreira US Patent 11,747,426, 2023 | 1 | 2023 |
| Method and apparatus for quality prediction H Evan, S Piechnik, IA Popescu, Q Zhang, K Werys, V Ferreira US Patent App. 17/428,392, 2022 | 1 | 2022 |
Stefan K. PiechnikProfessor of Biomedical Imaging, University of OxfordVerified email at cardiov.ox.ac.uk
