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2020 – today
- 2025
[e4]Anirban Mukhopadhyay
, Ilkay Öksüz, Sandy Engelhardt, Dorit Mehrof, Yixuan Yuan:
Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15224, Springer 2025, ISBN 978-3-031-72743-6 [contents]- 2024
- [j17]Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel:
GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation. Image Vis. Comput. 146: 105055 (2024) - [j16]Ruru Xu, Ilkay Öksüz:
Segmentation-aware MRI subsampling for efficient cardiac MRI reconstruction with reinforcement learning. Image Vis. Comput. 150: 105200 (2024) - [j15]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): 855-865 (2024) - [c37]Toygar Tanyel, Gulsah Yildiz, Cemanur Aydinalp, Ilkay Öksüz:
Estimation of Two Dimensional Electric Field Distribution Through Deep Learning: Preliminary Study. SIU 2024: 1-4 - [e3]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14533, Springer 2024, ISBN 978-3-031-53766-0 [contents] - [i25]Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel:
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation. CoRR abs/2403.09942 (2024) - [i24]Ziya Ata Yazici, Ilkay Öksüz, Hazim Kemal Ekenel:
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation. CoRR abs/2404.17854 (2024) - [i23]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 abs/2405.18435 (2024) - [i22]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 abs/2407.10796 (2024) - 2023
- [j14]Sabri Deari, Ilkay Öksüz, Sezer Ulukaya:
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels. IEEE Access 11: 38263-38274 (2023) - [j13]Fatma Harman, Mustafa Alper Selver, Mustafa Baris, Ali Canturk, Ilkay Öksüz:
Deep Learning-Based Meniscus Tear Detection From Accelerated MRI. IEEE Access 11: 144349-144363 (2023) - [j12]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: 102808 (2023) - [c36]Ilknur Aktemur, Ilkay Öksüz:
Automatic Detection of Knee Osteoarthritis Severity with SOTA Deep Learning Models and Ordinal Loss. SIU 2023: 1-4 - [c35]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: 1-4 - [p1]Ilkay Öksüz, Alain Lalande, Esther Puyol-Antón:
Quality Control. AI and Big Data in Cardiology 2023: 135-156 - [i21]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 abs/2301.09673 (2023) - [i20]Mahyar Bolhassani, Ilkay Öksüz:
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching. CoRR abs/2302.11200 (2023) - [i19]Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Ilkay Öksüz:
Explainable Image Quality Assessment for Medical Imaging. CoRR abs/2303.14479 (2023) - 2022
- [j11]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): 8766-8778 (2022) - [j10]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): 1398-1405 (2022) - [c34]Mert Acar, Tolga Çukur, Ilkay Öksüz:
Segmentation-Aware MRI Reconstruction. MLMIR@MICCAI 2022: 53-61 - [c33]Gökay Sezen, Ilkay Öksüz:
Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning. PRIME@MICCAI 2022: 71-78 - [c32]Caner Özer, Arda Güler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz:
Shifted Windows Transformers for Medical Image Quality Assessment. MLMI@MICCAI 2022: 425-435 - [c31]Ferda Gül Aydin Emekligil, Ilkay Öksüz:
Game Character Generation with Generative Adversarial Networks. SIU 2022: 1-4 - [c30]Aslan Ahmet Haykir, Ilkay Öksüz:
Transfer Learning Based Super Resolution of Aerial Images. SIU 2022: 1-4 - [c29]Ruru Xu, Ilkay Öksüz:
Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping. STACOM@MICCAI 2022: 340-348 - [c28]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: 447-456 - [e2]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13609, Springer 2022, ISBN 978-3-031-18575-5 [contents] - [i18]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 abs/2201.03186 (2022) - [i17]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 abs/2205.01673 (2022) - [i16]Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz:
Shifted Windows Transformers for Medical Image Quality Assessment. CoRR abs/2208.06034 (2022) - [i15]Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz:
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation. CoRR abs/2209.09678 (2022) - 2021
- [j9]Ilkay Öksüz:
Brain MRI artefact detection and correction using convolutional neural networks. Comput. Methods Programs Biomed. 199: 105909 (2021) - [j8]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): 1157-1170 (2021) - [j7]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): 3541-3553 (2021) - [c27]Sabri Can Cetindag, Mert Yergin, Deniz Alis, Ilkay Öksüz:
Meta-learning for Medical Image Segmentation Uncertainty Quantification. BrainLes@MICCAI (2) 2021: 578-584 - [c26]Mert Acar, Tolga Çukur, Ilkay Öksüz:
Self-supervised Dynamic MRI Reconstruction. MLMIR@MICCAI 2021: 35-44 - [c25]Caner Özer, Ilkay Öksüz:
Explainable Image Quality Analysis of Chest X-Rays. MIDL 2021: 567-580 - [c24]Mahyar Bolhassani, Ilkay Öksüz:
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI. SIU 2021: 1-4 - [c23]Kutay Karakamis, Caner Özer, Ilkay Öksüz:
Artifact Detection in Cardiac MRI Data by Deep Learning Methods. SIU 2021: 1-4 - [c22]Caner Özer, Ilkay Öksüz:
Cross-domain Artefact Correction of Cardiac MRI. STACOM@MICCAI 2021: 199-207 - [e1]Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
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. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9 [contents] - [i14]Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay:
A survey on shape-constraint deep learning for medical image segmentation. CoRR abs/2101.07721 (2021) - 2020
- [j6]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): 4001-4010 (2020) - [c21]Elif Altunok, Ilkay Öksüz:
Accurate Myocardial Pathology Segmentation with Residual U-Net. MyoPS@MICCAI 2020: 128-137 - [c20]Salih Gündüz, Umut Ugurlu, Ilkay Öksüz:
Electricity Price Prediction Using Encoder-Decoder Recurrent Neural Networks in Turkish Dayahead Market. SIU 2020: 1-4 - [i13]Salih Gündüz, Umut Ugurlu, Ilkay Öksüz:
Transfer Learning for Electricity Price Forecasting. CoRR abs/2007.03762 (2020) - [i12]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 abs/2012.01241 (2020)
2010 – 2019
- 2019
- [j5]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: 136-147 (2019) - [c19]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: 2723-2726 - [c18]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: 16-28 - [c17]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: 1537-1540 - [c16]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: 22-30 - [c15]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: 656-664 - [c14]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: 695-703 - [c13]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: 380-389 - [i11]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 abs/1901.10244 (2019) - [i10]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 abs/1905.07198 (2019) - [i9]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 abs/1906.05695 (2019) - [i8]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 abs/1906.06188 (2019) - [i7]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 abs/1908.04538 (2019) - [i6]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 abs/1909.10995 (2019) - [i5]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 abs/1910.01877 (2019) - [i4]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 abs/1910.05370 (2019) - 2018
- [j4]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): 503-515 (2018) - [c12]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: 462-465 - [c11]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: 21-29 - [c10]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: 250-258 - [c9]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: 371-380 - [i3]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 abs/1808.05130 (2018) - [i2]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 abs/1810.12185 (2018) - [i1]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 abs/1812.08155 (2018) - 2017
- [j3]Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging 36(11): 2228-2238 (2017) - [c8]Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. STACOM@MICCAI 2017: 12-20 - 2016
- [c7]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: 157-166 - 2015
- [c6]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH 2015: 189-197 - [c5]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) 2015: 12-20 - [c4]Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris:
Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI 2015: 162-170 - [c3]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: 205-213 - 2014
- [j2]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): 1217-1232 (2014) - 2013
- [j1]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:
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Anal. 17(8): 859-876 (2013) - [c2]Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu:
Region growing on frangi vesselness values in 3-D CTA data. SIU 2013: 1-4 - [c1]Devrim Ünay, Ibrahim Harmankaya, Ilkay Öksüz, Kamuran Kadipasaoglu, Rahmi Cubuk, Levent Çelik:
Automated aortic supravalvular sinus detection in conventional computed tomography image. SIU 2013: 1-4
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-17 20:26 CEST by the dblp team
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