| 1 Long-term prognosis after acute ST-segment elevation myocardial infarction is determined by characteristics in both non-infarcted and infarcted myocardium on cardiovascular … M Shanmuganathan, A Masi, MK Burrage, RA Kotronias, A Borlotti, ... Heart 107 (Suppl 3), A1-A1, 2021 | | 2021 |
| 3 Train the Ai like a human observer: deep learning with visualisation and guidance on attention in cardiac T1 mapping Q Zhang, K Werys, E Lukaschuk, I Popescu, E Hann, S Neubauer, ... Heart 105 (Suppl 3), A2-A3, 2019 | | 2019 |
| 9 Train the Ai like a human observer: deep learning with visualisation and guidance on attention in cardiac T1 mapping Q Zhang, K Werys, E Lukaschuk, I Popescu, E Hann, S Neubauer, ... Heart 105 (Suppl 3), A8-A9, 2019 | | 2019 |
| 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 | 6 | 2015 |
| 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 |
| Appearance modelling, pathology classification and evidence pinpointing for medical image analysis Q Zhang University of Warwick, 2017 | | 2017 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Check for updates Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using E Hann, RAG iD, IA Popescu, Q Zhang, VM Ferreira, SK PiechnikD Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021 …, 2021 | | 2021 |
| 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 |
| 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 |
| 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 | 34 | 2020 |
| 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 | 63 | 2021 |
| Deformable appearance pyramids for anatomy representation, landmark detection and pathology classification Q Zhang, A Bhalerao, C Hutchinson International Journal of Computer Assisted Radiology and Surgery 12, 1271-1280, 2017 | 1 | 2017 |
| Development of an Automated Shape and Textural Software Model of the Paediatric Knee for Estimation of Skeletal Age. C Parsons, C Hutchinson, E Helm, A Clarke, AB Mirza, Q Zhang, ... Annual Meeting and Exhibition 7, 13, 2016 | | 2016 |
| 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 |
Stefan K. PiechnikProfessor of Biomedical Imaging, University of Oxford在 cardiov.ox.ac.uk 的电子邮件经过验证
