| Improving the efficiency and accuracy of CMR with AI–review of evidence and proposition of a roadmap to clinical translation Q Zhang, A Fotaki, S Ghadimi, Y Wang, M Doneva, J Wetzl, JG Delfino, ... Journal of Cardiovascular Magnetic Resonance, 101051, 2024 | | 2024 |
| Deep learning for automated insertion point annotation of CMR T1 maps RA Gonzales, AL Manrique, MK Burrage, KE Thomas, İ Altun, WM Huang, ... IEEE, 2024 | | 2024 |
| 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 Cardiovascular Imaging 17 (4), 364-379, 2024 | 12 | 2024 |
| Automated CMR index of left ventricular diastolic function post-acute myocardial infarction provides independent and incremental prediction of long-term prognosis when added to … M Shanmuganathan, R Gonzales, M Burrage, P Arvidsson, A Banerjee, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Gadolinium-FBee Virtual Native Enhancement for Chronic Myocardial Infarction Assessment: Independent Blinded Validation and Reproducibility Between Two Centres P Swoboda, P Thompson, Q Zhang, M Shabi, S Neubauer, S Piechnik, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Automated CMR index of left ventricular diastolic function (e’): a validation study against echocardiography in the large-scale Beta3-LVH trial R Gonzales, P Arvidsson, E Lukaschuk, JL Balligand, E Heiberg, D Peters, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| 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 | 2 | 2023 |
| Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images RA Gonzales, Q Zhang, MK Burrage, İ Altun, E Heiberg, DC Peters, ... Society for Cardiovascular Magnetic Resonance, 2023 | | 2023 |
| Frontiers in Cardiovascular Medicine Editorial: Generative Adversarial Networks in Cardiovascular Research Q Zhang, T Cukur, H Greenspan, G Yang Frontiers in Cardiovascular Medicine 10, 1307812, 2023 | | 2023 |
| TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking RA Gonzales, J Lamy, KE Thomas, K Yiu, Q Zhang, M Shanmuganathan, ... Springer, 2023 | | 2023 |
| Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images RA Gonzales, DH Ibánez, E Hann, IA Popescu, MK Burrage, YP Lee, ... Springer, 2023 | | 2023 |
| 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 | 10 | 2023 |
| 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 | 37 | 2022 |
| Enhancement of medical images Q Zhang, S Piechnik, V Ferreira, H Evan, IA Popescu US Patent App. 17/639,926, 2022 | 3 | 2022 |
| TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function RA Gonzales, J Lamy, KE Thomas, Q Zhang, M Shanmuganathan, ... European Heart Journal-Cardiovascular Imaging 23 (S2), 2022 | 3 | 2022 |
| 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 |
| 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 |
| Development of deep learning virtual native enhancement for gadolinium-free myocardial infarction and viability assessment Q Zhang, MK Burrage, M Shanmuganathan, RA Gonzales, C Nikolaidou, ... Society for Cardiovascular Magnetic Resonance, 2022 | 1 | 2022 |
| Fast and robust motion correction of cardiovascular magnetic resonance T1-mapping using data-driven convolutional neural networks for generalisability RA Gonzales, Q Zhang, BW Papież, K Werys, E Lukaschuk, IA Popescu, ... Society for Cardiovascular Magnetic Resonance, 2022 | 1 | 2022 |
| Oxford Acute Myocardial Infarction (OxAMI) Study Q Zhang, MK Burrage, M Shanmuganathan Artificial intelligence for contrast-free MRI: scar assessment in myocardial …, 2022 | 5 | 2022 |
Stefan K. PiechnikProfessor of Biomedical Imaging, University of Oxford在 cardiov.ox.ac.uk 的电子邮件经过验证
