Ilkay Oksuz

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Andrew P KingKing's College LondonDirección de correo verificada de kcl.ac.uk
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonDirección de correo verificada de tum.de
James R. CloughCTO, Robin AIDirección de correo verificada de robinai.co.uk
Esther Puyol-AntónSenior Research Scientist, HeartFlowDirección de correo verificada de kcl.ac.uk
Bram Ruijsink MD, PhDCardiology Registrar and Clinical Research Fellow, King's College London & UMC UtrechtDirección de correo verificada de kcl.ac.uk
Claudia PrietoProfessor Pontificia Universidad Católica de ChileDirección de correo verificada de uc.cl
Gastao CruzUniversity of MichiganDirección de correo verificada de med.umich.edu
Aurelien BustinIHU Liryc Bordeaux, Cardiovascular Magnetic Resonance Center LausanneDirección de correo verificada de ihu-liryc.fr
Umut UgurluBahcesehir UniversityDirección de correo verificada de bau.edu.tr
Daniel RueckertTechnical University of Munich and Imperial College LondonDirección de correo verificada de tum.de
Anirban MukhopadhyayTU DarmstadtDirección de correo verificada de gris.tu-darmstadt.de
Sotirios Tsaftaris ( Sotos Tsaftaris )Chair in Machine Learning and Computer Vision, The University of EdinburghDirección de correo verificada de ed.ac.uk
Rohan DharmakumarVice Chair of Research, Dept of Radiology & Imaging SciencesDirección de correo verificada de iu.edu
Deniz AlisAcibadem Mehmet Ali Aydinlar universityDirección de correo verificada de istanbul.edu.tr
Devrim UnayProfessor, İzmir Demokrasi ÜniversitesiDirección de correo verificada de idu.edu.tr
Wenjia Bai (柏文佳)Senior Lecturer (Associate Professor), Imperial College LondonDirección de correo verificada de imperial.ac.uk
Marco BevilacquaCdiscountDirección de correo verificada de cdiscount.com
Hsin-Jung (Randy) YangCedars Sinai Medical CenterDirección de correo verificada de cshs.org
Jo SchlemperHyperfineDirección de correo verificada de hyperfine.io
Xenophon PapademetrisProfessor Biomedical Informatics & Data Science, and Radiology & Biomedical Imaging, Yale UniversityDirección de correo verificada de yale.edu

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Ilkay Oksuz

Istanbul Technical University, King's College London

Dirección de correo verificada de itu.edu.tr - Página principal

Medical Image Analysis Machine Learning Computer Vision Electricity Price Forecasting


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Electricity price forecasting using recurrent neural networks U Ugurlu, I Oksuz, O Tas Energies 11 (5), 1255, 2018	317	2018
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	297	2020
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	251	2013
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	216	2019
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	190	2020
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	182	2014
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	125	2020
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	123	2018
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	97	2017
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	87	2019
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	85	2019
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	84	2020
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	69	2019
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	55	2020
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, 2024	50	2024
Neural network based model comparison for intraday electricity price forecasting I Oksuz, U Ugurlu Energies 12 (23), 4557, 2019	50	2019
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	46	2021
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	42	2019
Brain MRI artefact detection and correction using convolutional neural networks I Oksuz Computer methods and programs in biomedicine 199, 105909, 2021	39	2021
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	36	2018

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