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Ilkay Oksuz
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Electricity price forecasting using recurrent neural networks
U Ugurlu, I Oksuz, O Tas
Energies 11 (5), 1255, 2018
2702018
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
HA Kiriţli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ...
Medical image analysis 17 (8), 859-876, 2013
2402013
A topological loss function for deep-learning based image segmentation using persistent homology
JR Clough, N Byrne, I Oksuz, VA Zimmer, JA Schnabel, AP King
IEEE transactions on pattern analysis and machine intelligence 44 (12), 8766 …, 2020
2192020
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ...
Medical image analysis 18 (7), 1217-1232, 2014
1712014
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function
B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair, W Bai, JA Schnabel, ...
Cardiovascular Imaging 13 (3), 684-695, 2020
1612020
Left-ventricle quantification using residual U-Net
E Kerfoot, J Clough, I Oksuz, J Lee, AP King, JA Schnabel
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
1582019
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ...
Scientific reports 10 (1), 2748, 2020
1162020
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
I Oksuz, B Ruijsink, E Puyol-Anton, J Clough, G Cruz, A Bustin, C Prieto, ...
arXiv preprint arXiv:1810.12185, 2018
1072018
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ...
IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017
892017
Explicit topological priors for deep-learning based image segmentation using persistent homology
JR Clough, I Oksuz, N Byrne, JA Schnabel, AP King
International Conference on Information Processing in Medical Imaging, 16-28, 2019
742019
Deep learning-based detection and correction of cardiac MR motion artefacts during reconstruction for high-quality segmentation
I Oksuz, JR Clough, B Ruijsink, EP Anton, A Bustin, G Cruz, C Prieto, ...
IEEE Transactions on Medical Imaging 39 (12), 4001-4010, 2020
682020
Global and local interpretability for cardiac MRI classification
JR Clough, I Oksuz, E Puyol-Antón, B Ruijsink, AP King, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2019
682019
Neural network based model comparison for intraday electricity price forecasting
I Oksuz, U Ugurlu
Energies 12 (23), 4557, 2019
452019
Magnetic resonance fingerprinting using recurrent neural networks
I Oksuz, G Cruz, J Clough, A Bustin, N Fuin, RM Botnar, C Prieto, AP King, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
442019
A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography
N Fuin, A Bustin, T Küstner, I Oksuz, J Clough, AP King, JA Schnabel, ...
Magnetic resonance imaging 70, 155-167, 2020
402020
Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space
I Oksuz, J Clough, B Ruijsink, E Puyol-Antón, A Bustin, G Cruz, C Prieto, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
372019
THEORY OF ATOMIC STRUCTURE INCLUDING ELECTRON CORRELATION. 2. ALL-EXTERNAL PAIR CORRELATIONS IN VARIOUS STATES AND IONS OF B, C, N, O, F, NE, AND NA AND PREDICTION OF ELECTRON …
I Oksuz, O Sinanoglu
PHYSICAL REVIEW 181 (1), 54-+, 1969
351969
Cardiac MR motion artefact correction from k-space using deep learning-based reconstruction
I Oksuz, J Clough, A Bustin, G Cruz, C Prieto, R Botnar, D Rueckert, ...
Machine Learning for Medical Image Reconstruction: First International …, 2018
332018
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
J Schlemper, I Oksuz, JR Clough, J Duan, AP King, JA Schnabel, ...
arXiv preprint arXiv:1909.10995, 2019
322019
Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection
I Oksuz, B Ruijsink, E Puyol-Antón, A Bustin, G Cruz, C Prieto, D Rueckert, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
322018
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