Matthew Sinclair

According to our database, Matthew Sinclair authored at least 32 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.

Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen

CoRR, 2023

Image To Tree with Recursive Prompting.

James Batten, Matthew Sinclair, Ben Glocker, Michiel Schaap

CoRR, 2023

2022

Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks.

Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker

Medical Image Anal., 2022

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.

Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary

CoRR, 2022

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.

Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.

Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.

Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control.

Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King

CoRR, 2020

2019

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.

Qingjie Meng, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, Matthew Sinclair, Veronika A. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gómez

IEEE Trans. Medical Imaging, 2019

Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers.

Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients.

Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King

Medical Image Anal., 2018

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging.

Qingjie Meng, Matthew Sinclair, Veronika A. M. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gómez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz

CoRR, 2018

Weakly Supervised Localisation for Fetal Ultrasound Images.

Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.

Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic Shadow Detection in 2D Ultrasound Images.

Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.

Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network.

Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.

Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fully automated myocardial strain estimation from cine MRI using convolutional neural networks.

Esther Puyol-Antón, Bram Ruijsink, Wenjia Bai, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King, Matthew Sinclair

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Automatic left ventricular outflow tract classification for accurate cardiac MR planning.

Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep learning with ultrasound physics for fetal skull segmentation.

Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.

Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.

Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Jacqueline Matthew, Matthew Sinclair, Chandni Gupta, Caroline L. Knight, Daniel Rueckert

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data.

Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Paolo Piro, Andrew P. King

Medical Image Anal., 2017

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction.

Devis Peressutti, Matthew Sinclair, Wenjia Bai, Thomas Jackson, Jacobus Ruijsink, David Nordsletten, Liya Asner, Myrianthi Hadjicharalambous, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King

Medical Image Anal., 2017

Human-level CMR image analysis with deep fully convolutional networks.

Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, José Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert

CoRR, 2017

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets.

Matthew Sinclair, Wenjia Bai, Esther Puyol-Antón, Ozan Oktay, Daniel Rueckert, Andrew P. King

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion.

Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.

Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation.

Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas.

Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016

2013

Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification.

Niloufar Zarinabad Nooralipour, Amedeo Chiribiri, Gilion L. T. F. Hautvast, Andreas Schuster, Matthew Sinclair, Jeroen P. H. M. van den Wijngaard, Nicolas Smith, Jos A. E. Spaan, Maria Siebes, Marcel Breeuwer, Eike Nagel

Proceedings of the Functional Imaging and Modeling of the Heart, 2013