Matthew Sinclair
Matthew Sinclair
Research at HeartFlow, Inc. & Honorary Research Fellow at Imperial College London
Geverifieerd e-mailadres voor heartflow.com
Geciteerd door
Geciteerd door
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
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
Ensembles of multiple models and architectures for robust brain tumour segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 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, ...
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
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
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
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
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
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
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
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
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
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, 797-811, 2014
Myocardial perfusion simulation for coronary artery disease: a coupled patient-specific multiscale model
L Papamanolis, HJ Kim, C Jaquet, M Sinclair, M Schaap, I Danad, ...
Annals of biomedical engineering 49, 1432-1447, 2021
Fast multiple landmark localisation using a patch-based iterative network
Y Li, A Alansary, JJ Cerrolaza, B Khanal, M Sinclair, J Matthew, C Gupta, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Deep learning with ultrasound physics for fetal skull segmentation
JJ Cerrolaza, M Sinclair, Y Li, A Gomez, E Ferrante, J Matthew, C Gupta, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
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
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 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, ...
arXiv preprint arXiv:1710.09289, 2017
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
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