| 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 |
| 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 |
| Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy EW Thompson, S Kamesh Iyer, MP Solomon, Z Li, Q Zhang, S Piechnik, ... Journal of Cardiovascular Magnetic Resonance 23, 1-9, 2021 | 23 | 2021 |
| 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 |
| Weakly-supervised evidence pinpointing and description Q Zhang, A Bhalerao, C Hutchinson International Conference on Information Processing in Medical Imaging, 210-222, 2017 | 17 | 2017 |
| 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 |
| 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 strain measurements derived from MR feature-tracking: influence of sex, age, field strength, and vendor W Yang, J Xu, L Zhu, Q Zhang, Y Wang, S Zhao, M Lu JACC: Cardiovascular Imaging 17 (4), 364-379, 2024 | 8 | 2024 |
| 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 |
| Facile fabrication of fluorescent-superhydrophobic bifunctional ligand-free quantum dots Q Zhang, J Yang, CF Wang, QL Chen, S Chen Colloid and Polymer Science 291, 717-723, 2013 | 7 | 2013 |
| Iterative circle fitting based on circular attracting factor H Wang, Q Zhang, F Wang Journal of Central South University 20, 2663--2675, 2013 | 6 | 2013 |
| Active appearance pyramids for object parametrisation and fitting Q Zhang, A Bhalerao, E Dickenson, C Hutchinson Medical Image Analysis 32, 101--114, 2016 | 5 | 2016 |
| Active shape model unleashed with multi-scale local appearance Q Zhang, A Bhalerao, E Helm, C Hutchinson IEEE International Conference on Image Processing (ICIP), 4664--4668, 2015 | 5 | 2015 |
Stefan K. PiechnikProfessor of Biomedical Imaging, University of OxfordVerified email at cardiov.ox.ac.uk
