| 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 | 62 | 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 | 56 | 2021 |
| Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data L Biasiolli, E Hann, E Lukaschuk, V Carapella, JM Paiva, N Aung, ... PLoS One 14 (2), e0212272, 2019 | 34 | 2019 |
| 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, 101955, 2020 | 32 | 2020 |
| 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 | 26 | 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 26 | 2019 |
| 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 | 16 | 2021 |
| Incident clinical and mortality associations of myocardial native T1 in the UK Biobank Z Raisi-Estabragh, C McCracken, E Hann, DG Condurache, NC Harvey, ... Cardiovascular Imaging 16 (4), 450-460, 2023 | 15 | 2023 |
| 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 | 11 | 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 |
| 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 |
| Acute response in the noninfarcted myocardium predicts long-term major adverse cardiac events after STEMI M Shanmuganathan, A Masi, MK Burrage, RA Kotronias, A Borlotti, ... Cardiovascular Imaging 16 (1), 46-59, 2023 | 8 | 2023 |
| Deep learning for fully automatic contouring of the left ventricle in cardiac T1 mapping E Hann, VM Ferreira, S Neubauer, SK Piechnik CMR 2018 – A Joint EuroCMR/SCMR Meeting, Barcelona, Spain, 401-402, 2018 | 5 | 2018 |
| 282 Reference values for aortic distensibility derived from UK Biobank cardiovascular magnetic resonance (CMR) imaging cohort K Fung, L Biasiolli, N Aung, E Hann, JM Paiva, E Lukaschuk, MM Sanghvi, ... European Heart Journal-Cardiovascular Imaging 20 (Supplement_2), jez114, 2019 | 4 | 2019 |
| Enhancement of medical images Q Zhang, S Piechnik, V Ferreira, H Evan, IA Popescu US Patent App. 17/639,926, 2022 | 3 | 2022 |
| Quality Control-Driven Artificial Intelligence for Reliable Automatic Segmentation of T1 Mapping Images Evan Hann, Iulia A. Popescu, Qiang Zhang, Ahmet Barutcu, Stefan Neubauer ... SCMR/ISMRM Co-Provided Workshop 2020, 2020 | 2* | 2020 |
| 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 |
| Method and apparatus for quality prediction E HANN, S Piechnik, IA POPESCU, Q Zhang, K WERYS, V FERREIRA US Patent App. 17/428,392, 2022 | 1* | 2022 |
| Quality control-driven artificial intelligence for reliable automatic segmentation of LGE images in clinical practice RA Gonzales, Q Zhang, E Hann, V Ferreira, S Piechnik Society for Cardiovascular Magnetic Resonance, 2022 | 1 | 2022 |
| 9 Identification of thirty novel loci for cardiovascular magnetic resonance derived aortic distensibility in the UK Biobank K Fung, L Biasiolli, E Hann, E Lukaschuk, J Ramírez, S van Duijvenboden, ... Heart 107 (Suppl 3), A6-A8, 2021 | 1 | 2021 |
Stefan K. PiechnikProfessor of Biomedical Imaging, University of OxfordVerified email at cardiov.ox.ac.uk
