| Ensembles of multiple models and architectures for robust brain tumour segmentation K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... International MICCAI Brainlesion Workshop, 450-462, 2017 | 238 | 2017 |
| Automated cardiovascular magnetic resonance image analysis with fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... Journal of Cardiovascular Magnetic Resonance 20 (1), 65, 2018 | 215 | 2018 |
| Semi-supervised learning for network-based cardiac MR image segmentation W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 115 | 2017 |
| A computationally efficient framework for the simulation of cardiac perfusion using a multi‐compartment Darcy porous‐media flow model C Michler, AN Cookson, R Chabiniok, E Hyde, J Lee, M Sinclair, T Sochi, ... International journal for numerical methods in biomedical engineering 29 (2 …, 2013 | 62 | 2013 |
| A novel porous mechanical framework for modelling the interaction between coronary perfusion and myocardial mechanics AN Cookson, J Lee, C Michler, R Chabiniok, E Hyde, DA Nordsletten, ... Journal of biomechanics 45 (5), 850-855, 2012 | 59 | 2012 |
| An automatic service for the personalization of ventricular cardiac meshes P Lamata, M Sinclair, E Kerfoot, A Lee, A Crozier, B Blazevic, S Land, ... Journal of The Royal Society Interface 11 (91), 20131023, 2014 | 47 | 2014 |
| Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair, W Bai, JA Schnabel, ... JACC: Cardiovascular Imaging 13 (3), 684-695, 2020 | 34 | 2020 |
| Multi-scale parameterisation of a myocardial perfusion model using whole-organ arterial networks ER Hyde, AN Cookson, J Lee, C Michler, A Goyal, T Sochi, R Chabiniok, ... Annals of biomedical engineering 42 (4), 797-811, 2014 | 33 | 2014 |
| A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: application to cardiac resynchronisation therapy response prediction D Peressutti, M Sinclair, W Bai, T Jackson, J Ruijsink, D Nordsletten, ... Medical image analysis 35, 669-684, 2017 | 29 | 2017 |
| A quantitative high resolution voxel-wise assessment of myocardial blood flow from contrast-enhanced first-pass magnetic resonance perfusion imaging: microsphere validation in … A Schuster, M Sinclair, N Zarinabad, M Ishida, JPHM van den Wijngaard, ... European Heart Journal-Cardiovascular Imaging 16 (10), 1082-1092, 2015 | 26 | 2015 |
| Quantitative assessment of magnetic resonance derived myocardial perfusion measurements using advanced techniques: microsphere validation in an explanted pig heart system A Schuster, N Zarinabad, M Ishida, M Sinclair, JPHM van den Wijngaard, ... Journal of Cardiovascular Magnetic Resonance 16 (1), 82, 2014 | 25 | 2014 |
| 3d fetal skull reconstruction from 2dus via deep conditional generative networks JJ Cerrolaza, Y Li, C Biffi, A Gomez, M Sinclair, J Matthew, C Knight, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 22 | 2018 |
| Standard plane detection in 3d fetal ultrasound using an iterative transformation network Y Li, B Khanal, B Hou, A Alansary, JJ Cerrolaza, M Sinclair, J Matthew, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 21 | 2018 |
| Human-level cmr image analysis with deep fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... | 21 | 2017 |
| Fully automated segmentation-based respiratory motion correction of multiplanar cardiac magnetic resonance images for large-scale datasets M Sinclair, W Bai, E Puyol-Antón, O Oktay, D Rueckert, AP King International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 20 | 2017 |
| A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data E Puyol-Anton, M Sinclair, B Gerber, MS Amzulescu, H Langet, ... Medical image analysis 40, 96-110, 2017 | 20 | 2017 |
| Multiscale modelling of cardiac perfusion J Lee, A Cookson, R Chabiniok, S Rivolo, E Hyde, M Sinclair, C Michler, ... Modeling the heart and the circulatory system, 51-96, 2015 | 20 | 2015 |
| Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging Q Meng, M Sinclair, V Zimmer, B Hou, M Rajchl, N Toussaint, O Oktay, ... IEEE transactions on medical imaging 38 (12), 2755-2767, 2019 | 17 | 2019 |
| Fast multiple landmark localisation using a patch-based iterative network Y Li, A Alansary, JJ Cerrolaza, B Khanal, M Sinclair, J Matthew, C Gupta, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 16 | 2018 |
| Human-level performance on automatic head biometrics in fetal ultrasound using fully convolutional neural networks M Sinclair, CF Baumgartner, J Matthew, W Bai, JC Martinez, Y Li, S Smith, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 16 | 2018 |
