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


Jul 06, 2021
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

* MICCAI'21 Main Conference 

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Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks


Dec 18, 2020
Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker

* 33 pages, 15 figures 

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


Jan 31, 2020
Esther Puyol Anton, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King


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


Aug 07, 2019
Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz

* Accepted at MICCAI 2019; Demo video available on Twitter (@sambuddinc) 

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Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging


Nov 21, 2018
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gomez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia Schnabel, Bernhard Kainz


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


Oct 07, 2018
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert

* LNCS 11070 (2018) 392-400 
* 8 pages, 2 figures, accepted for MICCAI 2018; Added link to source code 

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Fast Multiple Landmark Localisation Using a Patch-based Iterative Network


Oct 07, 2018
Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert

* LNCS 11070 (2018) 563-571 
* 8 pages, 4 figures, Accepted for MICCAI 2018 

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


Oct 03, 2018
Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan O'Regan, Stuart Cook, Daniel Rueckert

* Accepted for publication at MICCAI 2018. arXiv admin note: text overlap with arXiv:1803.09354 

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Weakly Supervised Localisation for Fetal Ultrasound Images


Aug 02, 2018
Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gomez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel

* 4th Workshop on Deep Learning for Medical Image Analysis, MICCAI 2018, Granada, Spain 

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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks


May 22, 2018
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, Jose 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

* Accepted for publication by Journal of Cardiovascular Magnetic Resonance 

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


Apr 24, 2018
Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Jo Hajnal, Andrew P. King, Daniel Rueckert

* EMBC 2018 

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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation


Nov 04, 2017
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker

* The method won the 1st-place in the Brain Tumour Segmentation (BRATS) 2017 competition (segmentation task) 

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