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Channel Attention Networks for Robust MR Fingerprinting Matching


Dec 02, 2020
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastao Cruz, Claudia Prieto, Andrew P. King, Devrim Unay, Ilkay Oksuz


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Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients


Sep 06, 2020
Zhen Yuan, Esther Puyol-Anton, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King

* 9 pages, 2 figures 

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Quality-aware semi-supervised learning for CMR segmentation


Sep 01, 2020
Bram Ruijsink, Esther Puyol-Anton, Ye Li, Wenja Bai, Eric Kerfoot, Reza Razavi, Andrew P. King

* MICCAI STACOM 2020 

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A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI


Aug 21, 2020
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King

* To be presented at the STACOM workshop at MICCAI 2020 

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Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction


Jul 09, 2020
Esther Puyol-Ant贸n, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King

* MICCAI 2020 conference 

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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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Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation


Oct 21, 2019
Ilkay Oksuz, James R. Clough, Bram Ruijsink, Esther Puyol Anton, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel


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A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology


Oct 04, 2019
James R. Clough, Ilkay Oksuz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King

* 12 pages, 12 figures 

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dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance


Sep 25, 2019
Jo Schlemper, Ilkay Oksuz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert

* Presented at ISMRM 27th Annual Meeting & Exhibition (Abstract #658) 

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Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR


Aug 23, 2019
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King

* To be published at MICCAI PIPPI 2019 

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Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders


Aug 13, 2019
Esther Puyol-Ant贸n, Bram Ruijsink, James R. Clough, Ilkay Oksuz, Daniel Rueckert, Reza Razavi, Andrew P. King


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Global and Local Interpretability for Cardiac MRI Classification


Jun 14, 2019
James R. Clough, Ilkay Oksuz, Esther Puyol-Anton, Bram Ruijsink, Andrew P. King, Julia A. Schnabel

* Accepted at MICCAI 2019, 8 pages, 3 figures 

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Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space


Jun 12, 2019
lkay Oksuz, James Clough, Bram Ruijsink, Esther Puyol-Anton, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel

* Accepted to MICCAI 2019. arXiv admin note: text overlap with arXiv:1808.05130 

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Mechanically Powered Motion Imaging Phantoms: Proof of Concept


May 17, 2019
Alberto Gomez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Oksuz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel

* Accepted for publication at IEEE EMBC (41st International Engineering in Medicine and Biology Conference) 2019 

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Explicit topological priors for deep-learning based image segmentation using persistent homology


Jan 29, 2019
James R. Clough, Ilkay Oksuz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King

* 12 pages 

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Magnetic Resonance Fingerprinting using Recurrent Neural Networks


Dec 19, 2018
Ilkay Oksuz, Gastao Cruz, James Clough, Aurelien Bustin, Nicolo Fuin, Rene M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel

* Accepted for ISBI 2018 

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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning


Oct 29, 2018
lkay Oksuz, Bram Ruijsink, Esther Puyol-Anton, James Clough, Gastao Cruz, Aurelien Bustin, Claudia Prieto, Rene Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King

* Submitted to Medical Image Analysis 

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Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection


Aug 31, 2018
Ilkay Oksuz, Bram Ruijsink, Esther Puyol-Anton, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King

* Accepted for MICCAI2018 Conference 

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Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors


Jul 30, 2018
Katar铆na T贸thov谩, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Ant贸n, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys

* Accepted to ShapeMI MICCAI 2018: Workshop on Shape in Medical Imaging 

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Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas


Jul 27, 2018
Esther Puyol-Anton, Bram Ruijsink, Helene Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King

* 2018 International Workshop on Statistical Atlases and Computational Modeling of the Heart 

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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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