Ilkay Öksüz

发表

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

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2016, SASHIMI@MICCAI.

Mechanically Powered Motion Imaging Phantoms: Proof of Concept

Markus Henningsson, Alberto Gómez, Cornelia Schmitz, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Daniel Rueckert, Aurélien Bustin, Ilkay Öksüz, 2019, ArXiv.

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

Sotirios A. Tsaftaris, Ilkay Öksüz, Marco Bevilacqua, 2015, FIMH.

Automated aortic supravalvular sinus detection in conventional computed tomography image

Ilkay Öksüz, Devrim Ünay, Ibrahim Harmankaya, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Region growing on frangi vesselness values in 3-D CTA data

Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Global and Local Interpretability for Cardiac MRI Classification pdf

Ilkay Öksüz, Julia A. Schnabel, James R. Clough, 2019, MICCAI.

Left-Ventricle Quantification Using Residual U-Net

Eric Kerfoot, Ilkay Öksüz, Julia A. Schnabel, 2018, STACOM@MICCAI.

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

René M. Botnar, Daniel Rueckert, Aurélien Bustin, 2018, MLMIR@MICCAI.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

Sotirios A. Tsaftaris, Ilkay Öksüz, Marco Bevilacqua, 2015, Lecture Notes in Computer Science.

Channel Attention Networks for Robust MR Fingerprinting Matching pdf

Ilkay Öksüz, Devrim Ünay, Claudia Prieto, 2020, ArXiv.

Explicit topological priors for deep-learning based image segmentation using persistent homology pdf

Ilkay Öksüz, Julia A. Schnabel, James R. Clough, 2019, IPMI.

Accurate Myocardial Pathology Segmentation with Residual U-Net

Ilkay Öksüz, Elif Altunok, Ilkay Öksüz, 2020, MyoPS@MICCAI.

Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI

Sotirios A. Tsaftaris, Ilkay Öksüz, Rohan Dharmakumar, 2017, STACOM@MICCAI.

Supervised Learning of Functional Maps for Infarct Classification

Sotirios A. Tsaftaris, Ilkay Öksüz, Anirban Mukhopadhyay, 2015, STACOM@MICCAI.

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

Frédéric Precioso, Bogdan J. Matuszewski, Roman Goldenberg, 2013, Medical Image Anal..

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

Ilkay Öksüz, Julia A. Schnabel, Veronika A. Zimmer, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks

René M. Botnar, Aurélien Bustin, Ilkay Öksüz, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Transfer Learning for Electricity Price Forecasting pdf

Ilkay Öksüz, Umut Ugurlu, Salih Gunduz, 2020, ArXiv.

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance pdf

Daniel Rueckert, Joseph V. Hajnal, Jinming Duan, 2019, ArXiv.

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

Wenjia Bai, Ilkay Öksüz, Julia A. Schnabel, 2018, MIDL.

Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

Daniel Rueckert, Aurélien Bustin, Ilkay Öksüz, 2018, MICCAI.

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

Sotirios A. Tsaftaris, Ilkay Öksüz, Marco Bevilacqua, 2015, MICCAI.

Automatic left ventricular outflow tract classification for accurate cardiac MR planning

Daniel Rueckert, Ilkay Öksüz, Julia A. Schnabel, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

Valery Naranjo, Hans Meine, Raúl San José Estépar, 2014, Medical Image Anal..

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders pdf

Daniel Rueckert, Ilkay Öksüz, James R. Clough, 2019, STACOM@MICCAI.

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

Ilkay Öksüz, Mahyar Bolhassani, Ilkay Öksüz, 2021, 2021 29th Signal Processing and Communications Applications Conference (SIU).

Brain MRI artefact detection and correction using convolutional neural networks

Ilkay Öksüz, Ilkay Öksüz, 2020, Comput. Methods Programs Biomed..

Artifact Detection in Cardiac MRI Data by Deep Learning Methods

Ilkay Öksüz, Kutay Karakamis, Caner Özer, 2021, 2021 29th Signal Processing and Communications Applications Conference (SIU).

Self-supervised Dynamic MRI Reconstruction

Tolga Çukur, Ilkay Öksüz, Mert Acar, 2021, MLMIR@MICCAI.