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A survey on shape-constraint deep learning for medical image segmentation


Jan 19, 2021
Simon Bohlender, Ilkay Oksuz, Anirban Mukhopadhyay


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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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Transfer Learning for Electricity Price Forecasting


Jul 09, 2020
Salih Gunduz, Umut Ugurlu, Ilkay Oksuz


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


Aug 13, 2019
Esther Puyol-Antón, 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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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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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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