متابعة
Ilkay Oksuz
Ilkay Oksuz
Istanbul Technical University, King's College London
بريد إلكتروني تم التحقق منه على itu.edu.tr - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Electricity price forecasting using recurrent neural networks‏
U Ugurlu, I Oksuz, O Tas‏
Energies 11 (5), 1255, 2018‏
3202018
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
2902020
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography‏
HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ...‏
Medical image analysis 17 (8), 859-876, 2013‏
2512013
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
2162019
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
1942020
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
1812014
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
1242020
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
1222018
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
962017
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
852019
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
852019
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
842020
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
682019
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
552020
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study‏
A Saha, JS Bosma, JJ Twilt, B van Ginneken, A Bjartell, AR Padhani, ...‏
The Lancet Oncology 25 (7), 879-887, 2024‏
542024
Neural network based model comparison for intraday electricity price forecasting‏
I Oksuz, U Ugurlu‏
Energies 12 (23), 4557, 2019‏
502019
A survey on shape-constraint deep learning for medical image segmentation‏
S Bohlender, I Oksuz, A Mukhopadhyay‏
IEEE Reviews in Biomedical Engineering 16, 225-240, 2021‏
472021
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
432019
Brain MRI artefact detection and correction using convolutional neural networks‏
I Oksuz‏
Computer Methods and Programs in Biomedicine 199, 105909, 2021‏
392021
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
382018
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مقالات 1–20