Ilkay Oksuz

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Istanbul Technical University ∙ King's College London

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

Since the advent of U-Net, fully convolutional deep neural networks and ...
01/19/2021 ∙ by Simon Bohlender, et al. ∙ 0 ∙ share

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Channel Attention Networks for Robust MR Fingerprinting Matching

Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of ...
12/02/2020 ∙ by Refik Soyak, et al. ∙ 12 ∙ share

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Transfer Learning for Electricity Price Forecasting

Electricity price forecasting is an essential task for all the deregulat...
07/05/2020 ∙ by Salih Gunduz, et al. ∙ 0 ∙ share

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

Segmenting anatomical structures in medical images has been successfully...
10/11/2019 ∙ by Ilkay Oksuz, et al. ∙ 34 ∙ share

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

Segmenting anatomical structures in medical images has been successfully...
10/11/2019 ∙ by Ilkay Oksuz, et al. ∙ 27 ∙ share

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

We introduce a method for training neural networks to perform image or v...
10/04/2019 ∙ by James R. Clough, et al. ∙ 86 ∙ share

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dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance

AUTOMAP is a promising generalized reconstruction approach, however, it ...
09/24/2019 ∙ by Jo Schlemper, et al. ∙ 30 ∙ share

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

Maintaining good cardiac function for as long as possible is a major con...
08/13/2019 ∙ by Esther Puyol-Antón, et al. ∙ 3 ∙ share

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Global and Local Interpretability for Cardiac MRI Classification

Deep learning methods for classifying medical images have demonstrated i...
06/14/2019 ∙ by James R. Clough, et al. ∙ 4 ∙ share

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Mechanically Powered Motion Imaging Phantoms: Proof of Concept

Motion imaging phantoms are expensive, bulky and difficult to transport ...
05/17/2019 ∙ by Alberto Gomez, et al. ∙ 0 ∙ share

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

We present a novel method to explicitly incorporate topological prior kn...
01/29/2019 ∙ by James R. Clough, et al. ∙ 0 ∙ share

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Magnetic Resonance Fingerprinting using Recurrent Neural Networks

Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitativ...
12/19/2018 ∙ by Ilkay Oksuz, et al. ∙ 0 ∙ share

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

Quality assessment of medical images is essential for complete automatio...
08/15/2018 ∙ by Ilkay Oksuz, et al. ∙ 2 ∙ share

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