Ilkay Öksüz

103 papers Journal 53Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
Consistent explainable image quality assessment for medical imaging.
Health Inf. Sci. Syst.
Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Ilkay Öksüz
2026 — ed.
Deep Generative Models - 5th MICCAI Workshop, DGM4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
DGM4MICCAI@MICCAI
Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dorit Merhof, Yixuan Yuan
2026 J jnl
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026 J jnl
Optimized K-space under-sampling for brain MRI reconstruction with reinforcement learning.
Pattern Recognit. Lett.
Ruru Xu, Ilkay Öksüz
2025 J jnl
A reinforcement learning approach for optimized MRI sampling with region-specific fidelity.
Neurocomputing
Ruru Xu, Ilkay Öksüz
2025 — conf
Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations.
MLMI@MICCAI
Caner Özer, Patryk Rygiel, Bram De Wilde, Ilkay Öksüz, Jelmer M. Wolterink
2025 J jnl
Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations.
CoRR
Caner Özer, Patryk Rygiel, Bram De Wilde, Ilkay Öksüz, Jelmer M. Wolterink
2025 — ed.
Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
DGM4MICCAI@MICCAI
Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dorit Merhof, Yixuan Yuan
2025 J jnl
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025 — conf
GLIMS-MedNeXt: An Ensemble Framework for Brain MRI Segmentation in Sub-Saharan Africa.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Ali Azmoudeh, Ilkay Öksüz, Hazim Kemal Ekenel
2025 J jnl
HierAdaptMR: Cross-Center Cardiac MRI Reconstruction with Hierarchical Feature Adapters.
CoRR
Ruru Xu, Ilkay Öksüz
2025 J jnl
Interpretable ECG analysis for myocardial infarction detection through counterfactuals.
Biomed. Signal Process. Control.
Toygar Tanyel, Sezgin Atmaca, Kaan Gökçe, Mehmet Yigit Balik, Arda Güler, Emre Aslanger, Ilkay Öksüz
2025 — conf
Local2Global: UNet with Hierarchical Attention Mechanisms for Improved MR Image Inpainting.
BraTS-Lighthouse/AIMS-TBI@MICCAI (2)
Erdi Saritas, Ilkay Öksüz, Hazim Kemal Ekenel
2025 J jnl
Pic2Diagnosis: A Method for Diagnosis of Cardiovascular Diseases from the Printed ECG Pictures.
CoRR
Oguzhan Büyüksolak, Ilkay Öksüz
2025 J jnl
Spatiotemporal XAI: Explaining video regression models in echocardiography videos for ejection fraction prediction.
Image Vis. Comput.
Yakup Abrek Er, Arda Güler, Mehmet Cagri Demir, Hande Uysal, Gamze Babur Guler, Ilkay Öksüz
2025 — conf
Veela Challenge - Vessel Extraction and Extrication for Liver Analysis.
MLSP
Tugçe Toprak, Ziya Ata Yazici, Ilkay Öksüz, Ilker Ozgur Koska, Pervin Bulucu, Naciye Sinem Gezer, Ufuk Besenk, A. Emre Kavur, Pierre-Henri Conze, Hazim Kemal Ekenel, Oguz Dicle, M. Alper Selver
2024 J jnl
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng.
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
2024 J jnl
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation.
CoRR
Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
2024 — ed.
Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
DGM4MICCAI
Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
2024 — conf
Estimation of Two Dimensional Electric Field Distribution Through Deep Learning: Preliminary Study.
SIU
Toygar Tanyel, Gulsah Yildiz, Cemanur Aydinalp, Ilkay Öksüz
2024 J jnl
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation.
CoRR
Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
2024 J jnl
GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation.
Image Vis. Comput.
Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
2024 J jnl
HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss.
CoRR
Ruru Xu, Caner Özer, Ilkay Öksüz
2024 — conf
HyperCMR: Enhanced Multi-contrast CMR Reconstruction with Eagle Loss.
CMRxRecon/MBAS/STACOM@MICCAI
Ruru Xu, Caner Özer, Ilkay Öksüz
2024 — conf
Mammographic Breast Positioning Assessment via Deep Learning.
Deep-Breath@MICCAI
Toygar Tanyel, Nurper Denizoglu, Mustafa Ege Seker, Deniz Alis, Esma Cerekci, Ercan Karaarslan, Erkin Aribal, Ilkay Öksüz
2024 J jnl
Mammographic Breast Positioning Assessment via Deep Learning.
CoRR
Toygar Tanyel, Nurper Denizoglu, Mustafa Ege Seker, Deniz Alis, Esma Cerekci, Ercan Karaarslan, Erkin Aribal, Ilkay Öksüz
2024 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
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
2024 J jnl
Segmentation-aware MRI subsampling for efficient cardiac MRI reconstruction with reinforcement learning.
Image Vis. Comput.
Ruru Xu, Ilkay Öksüz
2023 — conf
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation.
BraTS/CrossMoDA@MICCAI
Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel
2023 — conf
Automatic Detection of Knee Osteoarthritis Severity with SOTA Deep Learning Models and Ordinal Loss.
SIU
Ilknur Aktemur, Ilkay Öksüz
2023 J jnl
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels.
IEEE Access
Sabri Deari, Ilkay Öksüz, Sezer Ulukaya
2023 J jnl
Deep Learning-Based Meniscus Tear Detection From Accelerated MRI.
IEEE Access
Fatma Harman, Mustafa Alper Selver, Mustafa Baris, Ali Canturk, Ilkay Öksüz
2023 J jnl
Explainable Image Quality Assessment for Medical Imaging.
CoRR
Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Ilkay Öksüz
2023 — conf
Interpretable Deep Learning for Myocardial Infarction Detection from ECG Signals.
SIU
Mehmet Yigit Balik, Kaan Gökçe, Sezgin Atmaca, Emre Aslanger, Arda Güler, Ilkay Öksüz
2023 J jnl
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal.
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
2023 J jnl
Prostate Lesion Estimation using Prostate Masks from Biparametric MRI.
CoRR
Ahmet Karagoz, Mustafa Ege Seker, Mert Yergin, Tarkan Atak Kan, Mustafa Said Kartal, Ercan Karaarslan, Deniz Alis, Ilkay Öksüz
2023 — ch.
Quality Control.
AI and Big Data in Cardiology
Ilkay Öksüz, Alain Lalande, Esther Puyol-Antón
2023 J jnl
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching.
CoRR
Mahyar Bolhassani, Ilkay Öksüz
2022 J jnl
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
CoRR
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
2022 J jnl
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.
IEEE Trans. Pattern Anal. Mach. Intell.
James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
2022 J jnl
Channel Attention Networks for Robust MR Fingerprint Matching.
IEEE Trans. Biomed. Eng.
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
2022 — ed.
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
DGM4MICCAI@MICCAI
Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
2022 — conf
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation.
STACOM@MICCAI
Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
2022 J jnl
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation.
CoRR
Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
2022 — conf
Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning.
PRIME@MICCAI
Gökay Sezen, Ilkay Öksüz
2022 — conf
Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping.
STACOM@MICCAI
Ruru Xu, Ilkay Öksüz
2022 — conf
Game Character Generation with Generative Adversarial Networks.
SIU
Ferda Gül Aydin Emekligil, Ilkay Öksüz
2022 J jnl
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images.
CoRR
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
2022 — conf
Segmentation-Aware MRI Reconstruction.
MLMIR@MICCAI
Mert Acar, Tolga Çukur, Ilkay Öksüz
2022 — conf
Shifted Windows Transformers for Medical Image Quality Assessment.
MLMI@MICCAI
Caner Özer, Arda Güler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz
2022 J jnl
Shifted Windows Transformers for Medical Image Quality Assessment.
CoRR
Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz
2022 — conf
Transfer Learning Based Super Resolution of Aerial Images.
SIU
Aslan Ahmet Haykir, Ilkay Öksüz
2021 J jnl
A survey on shape-constraint deep learning for medical image segmentation.
CoRR
Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay
2021 — conf
Artifact Detection in Cardiac MRI Data by Deep Learning Methods.
SIU
Kutay Karakamis, Caner Özer, Ilkay Öksüz
2021 J jnl
Brain MRI artefact detection and correction using convolutional neural networks.
Comput. Methods Programs Biomed.
Ilkay Öksüz
2021 — conf
Cross-domain Artefact Correction of Cardiac MRI.
STACOM@MICCAI
Caner Özer, Ilkay Öksüz
2021 — ed.
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
DGM4MICCAI/DALI@MICCAI
Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue
2021 — conf
Explainable Image Quality Analysis of Chest X-Rays.
MIDL
Caner Özer, Ilkay Öksüz
2021 J jnl
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
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
2021 — conf
Meta-learning for Medical Image Segmentation Uncertainty Quantification.
BrainLes@MICCAI (2)
Sabri Can Cetindag, Mert Yergin, Deniz Alis, Ilkay Öksüz
2021 — conf
Self-supervised Dynamic MRI Reconstruction.
MLMIR@MICCAI
Mert Acar, Tolga Çukur, Ilkay Öksüz
2021 — conf
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI.
SIU
Mahyar Bolhassani, Ilkay Öksüz
2021 J jnl
Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system.
Turkish J. Electr. Eng. Comput. Sci.
Muhammed Murat Özbek, Mustafa Syed, Ilkay Öksüz
2020 — conf
Accurate Myocardial Pathology Segmentation with Residual U-Net.
MyoPS@MICCAI
Elif Altunok, Ilkay Öksüz
2020 J jnl
Channel Attention Networks for Robust MR Fingerprinting Matching.
CoRR
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
2020 J jnl
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
IEEE Trans. Medical Imaging
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2020 — conf
Electricity Price Prediction Using Encoder-Decoder Recurrent Neural Networks in Turkish Dayahead Market.
SIU
Salih Gündüz, Umut Ugurlu, Ilkay Öksüz
2020 J jnl
Transfer Learning for Electricity Price Forecasting.
CoRR
Salih Gündüz, Umut Ugurlu, Ilkay Öksüz
2019 J jnl
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology.
CoRR
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
2019 — conf
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
STACOM@MICCAI
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019 J jnl
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
CoRR
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019 J jnl
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal.
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
2019 J jnl
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
CoRR
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019 J jnl
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019 — conf
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
MICCAI (4)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019 — conf
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology.
IPMI
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
2019 J jnl
Explicit topological priors for deep-learning based image segmentation using persistent homology.
CoRR
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
2019 — conf
Global and Local Interpretability for Cardiac MRI Classification.
MICCAI (4)
James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019 J jnl
Global and Local Interpretability for Cardiac MRI Classification.
CoRR
James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019 — conf
High-quality segmentation of low quality cardiac MR images using k-space artefact correction.
MIDL
Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019 — conf
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks.
ISBI
Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019 — conf
Mechanically Powered Motion Imaging Phantoms: Proof of Concept.
EMBC
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
2019 J jnl
Mechanically Powered Motion Imaging Phantoms: Proof of Concept.
CoRR
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
2019 J jnl
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance.
CoRR
Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
2018 J jnl
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
CoRR
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
2018 — conf
Automatic left ventricular outflow tract classification for accurate cardiac MR planning.
ISBI
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.
MLMIR@MICCAI
Ilkay Öksüz, James R. Clough, Aurélien Bustin, Gastão Cruz, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
MICCAI (1)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 J jnl
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
CoRR
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Left-Ventricle Quantification Using Residual U-Net.
STACOM@MICCAI
Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel
2018 J jnl
Magnetic Resonance Fingerprinting using Recurrent Neural Networks.
CoRR
Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2018 J jnl
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics
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
2017 — conf
Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI.
STACOM@MICCAI
Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris
2017 J jnl
Unsupervised Myocardial Segmentation for Cardiac BOLD.
IEEE Trans. Medical Imaging
Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris
2016 — conf
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention.
SASHIMI@MICCAI
John A. Onofrey, Ilkay Öksüz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris
2015 — conf
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.
FIMH
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2015 — conf
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.
MICCAI (2)
Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2015 — conf
Supervised Learning of Functional Maps for Infarct Classification.
STACOM@MICCAI
Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris
2015 — conf
Unsupervised Myocardial Segmentation for Cardiac MRI.
MICCAI (3)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2014 J jnl
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal.
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
2013 — conf
Automated aortic supravalvular sinus detection in conventional computed tomography image.
SIU
Devrim Ünay, Ibrahim Harmankaya, Ilkay Öksüz, Kamuran Kadipasaoglu, Rahmi Cubuk, Levent Çelik
2013 — conf
Region growing on frangi vesselness values in 3-D CTA data.
SIU
Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu
2013 J jnl
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.
Medical Image Anal.
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 Floréz-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