Ilkay Oksuz
Ilkay Oksuz
Istanbul Technical University, King's College London
kcl.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
1382013
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
1032014
Electricity price forecasting using recurrent neural networks
U Ugurlu, I Oksuz, O Tas
Energies 11 (5), 1255, 2018
452018
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
282017
A hybrid method for coronary artery stenoses detection and quantification in CTA images
İ Öksüz, D Ünay, K Kadıpaşaoğlu
MICCAI Workshop 3d Cardiovascular Imaging: A MICCAI Segmentation, 2012
202012
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, ...
JACC: Cardiovascular Imaging 13 (3), 684-695, 2020
192020
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), 1-15, 2020
162020
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
132018
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
112018
Unsupervised myocardial segmentation for cardiac BOLD
I Oksuz, A Mukhopadhyay, R Dharmakumar, SA Tsaftaris
IEEE transactions on medical imaging 36 (11), 2228-2238, 2017
112017
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
92019
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
92019
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, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
92018
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
82019
Automatic left ventricular outflow tract classification for accurate cardiac MR planning
I Oksuz, B Ruijsink, E Puyol-Antón, M Sinclair, D Rueckert, JA Schnabel, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
82018
Unsupervised myocardial segmentation for cardiac MRI
A Mukhopadhyay, I Oksuz, M Bevilacqua, R Dharmakumar, SA Tsaftaris
International Conference on Medical Image Computing and Computer-Assisted …, 2015
82015
Data-driven feature learning for myocardial segmentation of CP-BOLD MRI
A Mukhopadhyay, I Oksuz, M Bevilacqua, R Dharmakumar, SA Tsaftaris
International Conference on Functional Imaging and Modeling of the Heart …, 2015
82015
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
JR Clough, I Oksuz, N Byrne, VA Zimmer, JA Schnabel, AP King
arXiv preprint arXiv:1910.01877, 2019
62019
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
62019
Left-ventricle quantification using residual U-Net
E Kerfoot, J Clough, I Oksuz, J Lee, AP King, JA Schnabel
International Workshop on Statistical Atlases and Computational Models of …, 2018
62018
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20