Ilkay Öksüz
Orcid: 0000-0001-6478-0534
According to our database1,
Ilkay Öksüz
authored at least 67 papers
between 2013 and 2024.
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Bibliography
2024
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng., March, 2024
GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation.
Image Vis. Comput., 2024
Segmentation-aware MRI subsampling for efficient cardiac MRI reconstruction with reinforcement learning.
Image Vis. Comput., 2024
CoRR, 2024
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation.
CoRR, 2024
Estimation of Two Dimensional Electric Field Distribution Through Deep Learning: Preliminary Study.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching.
CoRR, 2023
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels.
IEEE Access, 2023
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
Automatic Detection of Knee Osteoarthritis Severity with SOTA Deep Learning Models and Ordinal Loss.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
2022
IEEE Trans. Biomed. Eng., 2022
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system.
Turkish J. Electr. Eng. Comput. Sci., 2021
CoRR, 2021
Comput. Methods Programs Biomed., 2021
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
IEEE Trans. Medical Imaging, 2020
Electricity Price Prediction Using Encoder-Decoder Recurrent Neural Networks in Turkish Dayahead Market.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
2019
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal., 2019
CoRR, 2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR, 2019
High-quality segmentation of low quality cardiac MR images using k-space artefact correction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Automatic left ventricular outflow tract classification for accurate cardiac MR planning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
IEEE Trans. Medical Imaging, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
2016
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016
2015
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
2014
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal., 2014
2013
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.
Medical Image Anal., 2013
Automated aortic supravalvular sinus detection in conventional computed tomography image.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013