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 (FIMH, 2013)

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 (STACOM@MICCAI, 2016)

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 (MICCAI (2), 2017)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven McDonagh 001; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 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 (STACOM@MICCAI, 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 (MICCAI (2), 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; et al. (CoRR, 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)

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)

Fetal Skull Reconstruction via Deep Convolutional Autoencoders. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Jacqueline Matthew; Matthew Sinclair; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (EMBC, 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 (EMBC, 2018)

Deep learning with ultrasound physics for fetal skull segmentation. - Juan J. Cerrolaza; Matthew Sinclair; Yuanwei Li; Alberto Gómez 002; Enzo Ferrante; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (ISBI, 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 (ISBI, 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 (ISBI, 2018)

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Matthew Sinclair; Jacqueline Matthew; Caronline Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 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 (MICCAI (1), 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 (MICCAI (1), 2018)

Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 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 (MICCAI (1), 2018)

Weakly Supervised Localisation for Fetal Ultrasound Images. - Nicolas Toussaint; Bishesh Khanal; Matthew Sinclair; Alberto Gómez 002; Emily Skelton; Jacqueline Matthew; Julia A. Schnabel (DLMIA/ML-CDS@MICCAI, 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 002; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 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; et al. (Medical Image Anal., 2018)

Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. - Samuel Budd; Matthew Sinclair; Bishesh Khanal; Jacqueline Matthew; David Lloyd 003; Alberto Gómez 002; Nicolas Toussaint; Emma C. Robinson; Bernhard Kainz (MICCAI (4), 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; et al. (IEEE Trans. Medical Imaging, 2019)

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)

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 001; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (MICCAI (7), 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 (UNSURE/PIPPI@MICCAI, 2021)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. - Chen Chen 042; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (MICCAI (5), 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 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)

Image To Tree with Recursive Prompting. - James Batten; Matthew Sinclair; Ben Glocker; Michiel Schaap (CoRR, 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 042 (CoRR, 2023)

Image-To-Tree with Recursive Prompting. - James Batten; Matthew Sinclair; Ying Bai; Ben Glocker; Michiel Schaap (ISBI, 2024)

Improved 3D Whole Heart Geometry from Sparse CMR Slices. - Yiyang Xu; Hao Xu; Matthew Sinclair; Esther Puyol-Antón; Steven A. Niederer; Amedeo Chiribiri; Steven E. Williams; Michelle C. Williams; Alistair A. Young (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation. - Raoul Sallé de Chou; Matthew Sinclair; Sabrina R. Lynch; Nan Xiao; Laurent Najman; Irene E. Vignon-Clementel; Hugues Talbot (MIDL, 2024)

Vector Representations of Vessel Trees. - James Batten; Michiel Schaap; Matthew Sinclair; Ying Bai; Ben Glocker (CoRR, 2025)