Ilkay Öksüz

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 70

Top Topics

Magnetic Resonance

Persistent Homology

Top Venues

Medical Image Anal.

Publications

Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation. CoRR (2024)
Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR (2024)
Toygar Tanyel, Nurper Denizoglu, Mustafa Ege Seker, Deniz Alis, Esma Cerekci, Ercan Karaarslan, Erkin Aribal, Ilkay Öksüz
Mammographic Breast Positioning Assessment via Deep Learning. CoRR (2024)
Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation. CoRR (2024)
Toygar Tanyel, Gulsah Yildiz, Cemanur Aydinalp, Ilkay Öksüz
Estimation of Two Dimensional Electric Field Distribution Through Deep Learning: Preliminary Study. SIU (2024)
Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. 71 (3) (2024)
Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation. Image Vis. Comput. 146 (2024)
Caner Ozer, Arda Guler, Aysel Turkvatan Cansever, Ilkay Öksüz
Explainable Image Quality Assessment for Medical Imaging. CoRR (2023)
Mahyar Bolhassani, Ilkay Öksüz
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching. CoRR (2023)
Fatma Harman, Mustafa Alper Selver, Mustafa Baris, Ali Canturk, Ilkay Öksüz
Deep Learning-Based Meniscus Tear Detection From Accelerated MRI. IEEE Access 11 (2023)
Sabri Deari, Ilkay Öksüz, Sezer Ulukaya
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels. IEEE Access 11 (2023)
Mehmet Yigit Balik, Kaan Gökçe, Sezgin Atmaca, Emre Aslanger, Arda Güler, Ilkay Öksüz
Interpretable Deep Learning for Myocardial Infarction Detection from ECG Signals. SIU (2023)
Ahmet Karagoz, Mustafa Ege Seker, Mert Yergin, Tarkan Atak Kan, Mustafa Said Kartal, Ercan Karaarslan, Deniz Alis, Ilkay Öksüz
Prostate Lesion Estimation using Prostate Masks from Biparametric MRI. CoRR (2023)
Ilknur Aktemur, Ilkay Öksüz
Automatic Detection of Knee Osteoarthritis Severity with SOTA Deep Learning Models and Ordinal Loss. SIU (2023)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87 (2023)
Aslan Ahmet Haykir, Ilkay Öksüz
Transfer Learning Based Super Resolution of Aerial Images. SIU (2022)
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
Channel Attention Networks for Robust MR Fingerprint Matching. IEEE Trans. Biomed. Eng. 69 (4) (2022)
Mert Acar, Tolga Çukur, Ilkay Öksüz
Segmentation-Aware MRI Reconstruction. MLMIR@MICCAI (2022)
Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation. STACOM@MICCAI (2022)
Ruru Xu, Ilkay Öksüz
Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping. STACOM@MICCAI (2022)
Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation. CoRR (2022)
James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Ferda Gül Aydin Emekligil, Ilkay Öksüz
Game Character Generation with Generative Adversarial Networks. SIU (2022)
Caner Ozer, Arda Guler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz
Shifted Windows Transformers for Medical Image Quality Assessment. CoRR (2022)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR (2022)
Caner Özer, Arda Guler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz
Shifted Windows Transformers for Medical Image Quality Assessment. MLMI@MICCAI (2022)
Gökay Sezen, Ilkay Öksüz
Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning. PRIME@MICCAI (2022)
Inês Prata Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR (2022)
Mert Acar, Tolga Çukur, Ilkay Öksüz
Self-supervised Dynamic MRI Reconstruction. MLMIR@MICCAI (2021)
Caner Özer, Ilkay Öksüz
Explainable Image Quality Analysis of Chest X-Rays. MIDL (2021)
Caner Özer, Ilkay Öksüz
Cross-domain Artefact Correction of Cardiac MRI. STACOM@MICCAI (2021)
Mahyar Bolhassani, Ilkay Öksüz
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI. SIU (2021)
Muhammed Murat Özbek, Mustafa Syed, Ilkay Öksüz
Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. Turkish J. Electr. Eng. Comput. Sci. 29 (2) (2021)
Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay
A survey on shape-constraint deep learning for medical image segmentation. CoRR (2021)
Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li
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 25 (9) (2021)
Kutay Karakamis, Caner Özer, Ilkay Öksüz
Artifact Detection in Cardiac MRI Data by Deep Learning Methods. SIU (2021)
Sabri Can Cetindag, Mert Yergin, Deniz Alis, Ilkay Öksüz
Meta-learning for Medical Image Segmentation Uncertainty Quantification. BrainLes@MICCAI (2) (2021)
Ilkay Öksüz
Brain MRI artefact detection and correction using convolutional neural networks. Comput. Methods Programs Biomed. 199 (2021)
Salih Gündüz, Umut Ugurlu, Ilkay Öksüz
Electricity Price Prediction Using Encoder-Decoder Recurrent Neural Networks in Turkish Dayahead Market. SIU (2020)
Elif Altunok, Ilkay Öksüz
Accurate Myocardial Pathology Segmentation with Residual U-Net. MyoPS@MICCAI (2020)
Salih Gündüz, Umut Ugurlu, Ilkay Öksüz
Transfer Learning for Electricity Price Forecasting. CoRR (2020)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
Channel Attention Networks for Robust MR Fingerprinting Matching. CoRR (2020)
Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. ISBI (2019)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. CoRR (2019)
James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
Global and Local Interpretability for Cardiac MRI Classification. CoRR (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI (2019)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Anal. 55 (2019)
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI (2019)
Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. CoRR (2019)
Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR (2019)
James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) (2019)
Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL (2019)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR (2019)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. MICCAI (4) (2019)
Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR (2019)
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. CoRR (2019)
Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel
Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI (2018)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. CoRR (2018)
Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22 (2) (2018)
Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Magnetic Resonance Fingerprinting using Recurrent Neural Networks. CoRR (2018)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. CoRR (2018)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. MICCAI (1) (2018)
Ilkay Öksüz, James R. Clough, Aurélien Bustin, Gastão Cruz, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. MLMIR@MICCAI (2018)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Automatic left ventricular outflow tract classification for accurate cardiac MR planning. ISBI (2018)
Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging 36 (11) (2017)
Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris
Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. STACOM@MICCAI (2017)
John A. Onofrey, Ilkay Öksüz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention. SASHIMI@MICCAI (2016)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH (2015)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) (2015)
Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris
Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI (2015)
Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) (2015)
Rina Dewi Rudyanto, Sjoerd Kerkstra, Eva M. van Rikxoort, Catalin I. Fetita, Pierre-Yves Brillet, Christophe Lefevre, Wenzhe Xue, Xiangjun Zhu, Jianming Liang, Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu, Raúl San José Estépar, James C. Ross, George R. Washko, Juan-Carlos Prieto, Marcela Hernández Hoyos, Maciej Orkisz, Hans Meine, Markus Hüllebrand, Christina Stöcker, Fernando López-Mir, Valery Naranjo, Eliseo Villanueva, Marius Staring, Changyan Xiao, Berend C. Stoel, Anna Fabijanska, Erik Smistad
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Anal. 18 (7) (2014)
Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu
Region growing on frangi vesselness values in 3-D CTA data. SIU (2013)
Hortense A. Kirisli, Michiel Schaap, Coert Metz, A. S. Dharampal, W. B. Meijboom, S. L. Papadopoulou, A. Dedic, K. Nieman, Michiel A. de Graaf, M. F. L. Meijs, M. J. Cramer, Alexander Broersen, Suheyla Cetin, Abouzar Eslami, Leonardo Florez-Valencia, Kuo-Lung Lor, Bogdan J. Matuszewski, Imen Melki, Brian Mohr, Ilkay Öksüz, Rahil Khurram Shahzad, Chunliang Wang, Pieter H. Kitslaar, Gözde B. Ünal, Amin Katouzian, Maciej Orkisz, Chung-Ming Chen, Frédéric Precioso, Laurent Najman, S. Masood, Devrim Ünay, Lucas J. van Vliet, Rodrigo Moreno, Roman Goldenberg, Erald Vuçini, Gabriel P. Krestin, Wiro J. Niessen, Theo van Walsum
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Anal. 17 (8) (2013)
Devrim Ünay, Ibrahim Harmankaya, Ilkay Öksüz, Kamuran Kadipasaoglu, Rahmi Cubuk, Levent Çelik
Automated aortic supravalvular sinus detection in conventional computed tomography image. SIU (2013)