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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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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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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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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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