Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system.

[BibT_eX]

[DOI]

Muhammed Murat Özbek

Mustafa Syed

Ilkay Öksüz

Turkish J. Electr. Eng. Comput. Sci., 2021

A survey on shape-constraint deep learning for medical image segmentation.

[BibT_eX]

[DOI]

Simon Bohlender

Ilkay Öksüz

Anirban Mukhopadhyay

CoRR, 2021

Brain MRI artefact detection and correction using convolutional neural networks.

[BibT_eX]

[DOI]

Ilkay Öksüz

Comput. Methods Programs Biomed., 2021

Cross-domain Artefact Correction of Cardiac MRI.

[BibT_eX]

[DOI]

Caner Özer

Ilkay Öksüz

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

Artifact Detection in Cardiac MRI Data by Deep Learning Methods.

[BibT_eX]

[DOI]

Kutay Karakamis

Caner Özer

Ilkay Öksüz

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI.

[BibT_eX]

[DOI]

Mahyar Bolhassani

Ilkay Öksüz

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Explainable Image Quality Analysis of Chest X-Rays.

[BibT_eX]

[DOI]

Caner Özer

Ilkay Öksüz

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Self-supervised Dynamic MRI Reconstruction.

[BibT_eX]

[DOI]

Mert Acar

Tolga Çukur

Ilkay Öksüz

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Meta-learning for Medical Image Segmentation Uncertainty Quantification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Channel Attention Networks for Robust MR Fingerprinting Matching.

[BibT_eX]

[DOI]

CoRR, 2020

Transfer Learning for Electricity Price Forecasting.

[BibT_eX]

[DOI]

Salih Gündüz

Umut Ugurlu

Ilkay Öksüz

CoRR, 2020

Electricity Price Prediction Using Encoder-Decoder Recurrent Neural Networks in Turkish Dayahead Market.

[BibT_eX]

[DOI]

Salih Gündüz

Umut Ugurlu

Ilkay Öksüz

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Accurate Myocardial Pathology Segmentation with Residual U-Net.

[BibT_eX]

[DOI]

Elif Altunok

Ilkay Öksüz

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.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance.

[BibT_eX]

[DOI]

CoRR, 2019

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.

[BibT_eX]

[DOI]

CoRR, 2019

High-quality segmentation of low quality cardiac MR images using k-space artefact correction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Global and Local Interpretability for Cardiac MRI Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Mechanically Powered Motion Imaging Phantoms: Proof of Concept.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2018

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Left-Ventricle Quantification Using Residual U-Net.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Unsupervised Myocardial Segmentation for Cardiac BOLD.

[BibT_eX]

[DOI]

Ilkay Öksüz

Anirban Mukhopadhyay

Rohan Dharmakumar

Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2017

Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI.

[BibT_eX]

[DOI]

Ilkay Öksüz

Rohan Dharmakumar

Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

2016

MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention.

[BibT_eX]

[DOI]

Xenophon Papademetris

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015

Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.

[BibT_eX]

[DOI]

Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Supervised Learning of Functional Maps for Infarct Classification.

[BibT_eX]

[DOI]

Anirban Mukhopadhyay

Ilkay Öksüz

Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Unsupervised Myocardial Segmentation for Cardiac MRI.

[BibT_eX]

[DOI]

Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.

[BibT_eX]

[DOI]

Sotirios A. Tsaftaris

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.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

2013

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.

[BibT_eX]

[DOI]