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Matthew Sinclair
Matthew Sinclair
Senior Research Scientist at HeartFlow, Inc. & Honorary Research Fellow at Imperial College London
Verified email at heartflow.com
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Cited by
Year
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
4202017
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), 1-12, 2018
4162018
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
2422017
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, ...
Cardiovascular Imaging 13 (3), 684-695, 2020
1012020
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
762012
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
732013
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
542014
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
432018
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
412018
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
392017
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
352014
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
342019
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
342018
Human-level CMR image analysis with deep fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
312017
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
312015
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
282017
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), 1-13, 2014
282014
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
272018
Confident head circumference measurement from ultrasound with real-time feedback for sonographers
S Budd, M Sinclair, B Khanal, J Matthew, D Lloyd, A Gomez, N Toussaint, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
262019
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks
E Puyol-Antón, B Ruijsink, W Bai, H Langet, M De Craene, JA Schnabel, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
262018
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