İlkay Öksüz

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All published works

Action	Title	Year	Authors
+ PDF Chat	Interpretable ECG analysis for myocardial infarction detection through counterfactuals	2024	Toygar Tanyel Sezgin Atmaca Kaan Gökçe Mehmet Yiğit Balık Arda Güler Emre Aslanger İlkay Öksüz
+ PDF Chat	HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss	2024	Ruru Xu Caner Özer İlkay Öksüz
+ PDF Chat	Mammographic Breast Positioning Assessment via Deep Learning	2024	Toygar Tanyel Nurper Denizoglu Mustafa Ege Şeker Deniz Alış Esma Çerekçi Ercan Karaarslan Erkin Arıbal İlkay Öksüz
+ PDF Chat	GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation	2024	Ziya Ata Yazıcı İlkay Öksüz Hazım Kemal Ekenel
+ PDF Chat	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge	2024	Hongwei Bran Fernando Navarro Ivan Ezhov Amirhossein Bayat Dhritiman Das Florian Kofler Suprosanna Shit Diana Waldmannstetter Johannes C. Paetzold Xiaobin Hu
+ PDF Chat	Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation	2024	Ziya Ata Yazıcı İlkay Öksüz Hazım Kemal Ekenel
+ PDF Chat	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis	2023	Inês Machado Esther Puyol‐Antón Kerstin Hammernik Gastão Cruz Devran Uğurlu Ihsane Olakorede İlkay Öksüz Bram Ruijsink Miguel Castelo‐Branco Alistair A. Young
+ PDF Chat	MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images	2023	Lei Li Fuping Wu Sihan Wang Xinzhe Luo Carlos Martín-Isla Shuwei Zhai Jianpeng Zhang Yanfei Liu Zhen Zhang Markus J. Ankenbrand
+ PDF Chat	Transfer learning for electricity price forecasting	2023	Salih Gündüz Umut Uğurlu İlkay Öksüz
+	Prostate Lesion Estimation using Prostate Masks from Biparametric MRI	2023	Ahmet Karagöz Mustafa Ege Şeker Mert Yergin Tarkan Atak Kan Mustafa Said Kartal Ercan Karaarslan Deniz Alış İlkay Öksüz
+	Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching	2023	Mahyar Bolhassani İlkay Öksüz
+	Explainable Image Quality Assessment for Medical Imaging	2023	Caner Özer Arda Güler Aysel Türkvatan İlkay Öksüz
+	Interpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals	2023	Toygar Tanyel Sezgin Atmaca Kaan Gökçe Mehmet Yiğit Balık Arda Güler Emre Aslanger İlkay Öksüz
+	A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis	2022	Inês Machado Esther Puyol‐Antón Kerstin Hammernik Gastão Cruz Devran Uğurlu Ihsane Olakorede İlkay Öksüz Bram Ruijsink Miguel Castelo‐Branco Alistair A. Young
+	A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis	2022	Inês Machado Esther Puyol‐Antón Kerstin Hammernik Gastão Cruz Devran Uğurlu Ihsane Olakorede İlkay Öksüz Bram Ruijsink Miguel Castelo‐Branco Alistair A. Young
+	MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images	2022	Lei Li Fuping Wu Sihan Wang Xinzhe Luo Carlos Martín-Isla Shuwei Zhai Jianpeng Zhang Yanfei Liu Zhen Zhang Markus J. Ankenbrand
+	A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis	2022	Inês Machado Esther Puyol‐Antón Kerstin Hammernik Gastão Cruz Devran Uğurlu Ihsane Olakorede İlkay Öksüz Bram Ruijsink Miguel Castelo‐Branco Alistair A. Young
+	Shifted Windows Transformers for Medical Image Quality Assessment	2022	Caner Özer Arda Güler Aysel Türkvatan Deniz Alış Ercan Karaarslan İlkay Öksüz
+	Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation	2022	Amin Ranem John Kalkhof Caner Özer Anirban Mukhopadhyay İlkay Öksüz
+ PDF Chat	Shifted Windows Transformers for Medical Image Quality Assessment	2022	Caner Özer Arda Güler Aysel Türkvatan Deniz Alış Ercan Karaarslan İlkay Öksüz
+ PDF Chat	Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation	2022	Amin Ranem John Kalkhof Caner Özer Anirban Mukhopadhyay İlkay Öksüz
+ PDF Chat	A Survey on Shape-Constraint Deep Learning for Medical Image Segmentation	2021	Simon Bohlender İlkay Öksüz Anirban Mukhopadhyay
+	A survey on shape-constraint deep learning for medical image segmentation	2021	Simon Bohlender İlkay Öksüz Anirban Mukhopadhyay
+	Channel Attention Networks for Robust MR Fingerprinting Matching.	2020	Refik Soyak Ebru Navruz Eda Ozgu Ersoy Gastão Cruz Claudia Prieto Andrew P. King Devrim Ünay İlkay Öksüz
+ PDF Chat	A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology	2020	James R. Clough Nick Byrne İlkay Öksüz Veronika A. Zimmer Julia A. Schnabel Andrew P. King
+ PDF Chat	Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation	2020	İlkay Öksüz James R. Clough Bram Ruijsink Esther Puyol Antón Aurélien Bustin Gastão Cruz Claudia Prieto Andrew P. King Julia A. Schnabel
+	Transfer Learning for Electricity Price Forecasting.	2020	Salih Gündüz Umut Uğurlu İlkay Öksüz
+ PDF Chat	Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders	2020	Esther Puyol‐Antón Bram Ruijsink James R. Clough İlkay Öksüz Daniel Rueckert Reza Razavi Andrew P. King
+	Channel Attention Networks for Robust MR Fingerprinting Matching	2020	Refik Soyak Ebru Navruz Eda Ozgu Ersoy Gastão Cruz Claudia Prieto Andrew P. King Devrim Ünay İlkay Öksüz
+	Transfer Learning for Electricity Price Forecasting	2020	Salih Gündüz Umut Uğurlu İlkay Öksüz
+	Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation	2019	İlkay Öksüz James R. Clough Bram Ruijsink Esther Puyol Antón Aurélien Bustin Gastão Cruz Claudia Prieto Andrew P. King Julia A. Schnabel
+ PDF Chat	Mechanically Powered Motion Imaging Phantoms: Proof of Concept	2019	Alberto Gómez Andrew P. King Julia A. Schnabel Cornelia Schmitz Markus Henningsson R. James Housden Yohan Noh Veronika A. Zimmer James R. Clough İlkay Öksüz
+	Global and Local Interpretability for Cardiac MRI Classification	2019	James R. Clough İlkay Öksüz Esther Puyol‐Antón Bram Ruijsink Andrew P. King Julia A. Schnabel
+	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning	2019	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón James R. Clough Gastão Cruz Aurélien Bustin Claudia Prieto René M. Botnar Daniel Rueckert Julia A. Schnabel
+ PDF Chat	Magnetic Resonance Fingerprinting Using Recurrent Neural Networks	2019	İlkay Öksüz Gastão Cruz James R. Clough Aurélien Bustin Nicolo Fuin René M. Botnar Claudia Prieto Andrew P. King Julia A. Schnabel
+	Explicit topological priors for deep-learning based image segmentation using persistent homology	2019	James R. Clough İlkay Öksüz Nick Byrne Julia A. Schnabel Andrew P. King
+ PDF Chat	Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology	2019	James R. Clough İlkay Öksüz Nick Byrne Julia A. Schnabel Andrew P. King
+	dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance	2019	Jo Schlemper İlkay Öksüz James R. Clough Jinming Duan Andrew P. King Julia A. Schnabel Joseph V. Hajnal Daniel Rueckert
+ PDF Chat	Global and Local Interpretability for Cardiac MRI Classification	2019	James R. Clough İlkay Öksüz Esther Puyol‐Antón Bram Ruijsink Andrew P. King Julia A. Schnabel
+	Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation	2019	İlkay Öksüz James R. Clough Bram Ruijsink Esther Puyol Antón Aurélien Bustin Gastão Cruz Claudia Prieto Andrew P. King Julia A. Schnabel
+	Global and Local Interpretability for Cardiac MRI Classification	2019	James R. Clough İlkay Öksüz Esther Puyol‐Antón Bram Ruijsink Andrew P. King Julia A. Schnabel
+	Explicit topological priors for deep-learning based image segmentation using persistent homology	2019	James R. Clough İlkay Öksüz Nick Byrne Julia A. Schnabel Andrew P. King
+	Magnetic Resonance Fingerprinting using Recurrent Neural Networks	2018	İlkay Öksüz Gastão Cruz James R. Clough Aurélien Bustin Nicolo Fuin René M. Botnar Claudia Prieto Andrew P. King Julia A. Schnabel
+	Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection	2018	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón Aurélien Bustin Gastão Cruz Claudia Prieto Daniel Rueckert Julia A. Schnabel Andrew P. King
+ PDF Chat	Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection	2018	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón Aurélien Bustin Gastão Cruz Claudia Prieto Daniel Rueckert Julia A. Schnabel Andrew P. King
+	Magnetic Resonance Fingerprinting using Recurrent Neural Networks	2018	İlkay Öksüz Gastão Cruz James R. Clough Aurélien Bustin Nicolo Fuin René M. Botnar Claudia Prieto Andrew P. King Julia A. Schnabel
+	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning	2018	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón James R. Clough Gastão Cruz Aurélien Bustin Claudia Prieto René M. Botnar Daniel Rueckert Julia A. Schnabel
+	Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection	2018	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón Aurélien Bustin Gastão Cruz Claudia Prieto Daniel Rueckert Julia A. Schnabel Andrew P. King

Common Coauthors

Coauthor	Papers Together
Andrew P. King	27
Julia A. Schnabel	24
James R. Clough	18
Claudia Prieto	17
Gastão Cruz	17
Bram Ruijsink	16
Esther Puyol‐Antón	13
Aurélien Bustin	11
Daniel Rueckert	7
Caner Özer	6
Arda Güler	5
René M. Botnar	5
Devran Uğurlu	4
Kerstin Hammernik	4
Miguel Castelo‐Branco	4
Nick Byrne	4
Ihsane Olakorede	4
Ercan Karaarslan	4
Deniz Alış	4
Inês Machado	4
Alistair A. Young	4
Umut Uğurlu	3
Esther Puyol Antón	3
Salih Gündüz	3
Aysel Türkvatan	3
Toygar Tanyel	3
Jun Ma	3
Nicolo Fuin	3
Anirban Mukhopadhyay	2
Élodie Puybareau	2
Feiyan Li	2
Stéphanie Bricq	2
Carlos Martín-Isla	2
Guocai Liu	2
Xiahai Zhuang	2
Ebru Navruz	2
Weisheng Li	2
Hazım Kemal Ekenel	2
Guotai Wang	2
Haochuan Jiang	2
Tewodros Weldebirhan Arega	2
Mustafa Ege Şeker	2
Amin Ranem	2
Mehmet Yiğit Balık	2
Mingjing Yang	2
Veronika A. Zimmer	2
Xinzhe Luo	2
Markus J. Ankenbrand	2
Lınhong Wang	2
Refik Soyak	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Automated cardiovascular magnetic resonance image analysis with fully convolutional networks	2018	Wenjia Bai Matthew Sinclair Giacomo Tarroni Ozan Oktay Martin Rajchl Ghislain Vaillant Aaron M. Lee Nay Aung Elena Lukaschuk Mihir M. Sanghvi	8
+	Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation	2017	Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas Mattias P. Heinrich‬ Wenjia Bai José Caballero Stuart A. Cook Antonio de Marvao Timothy J. W. Dawes Declan P. O’Regan	7
+	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning	2019	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón James R. Clough Gastão Cruz Aurélien Bustin Claudia Prieto René M. Botnar Daniel Rueckert Julia A. Schnabel	6
+ PDF Chat	A machine-learning framework for automatic reference-free quality assessment in MRI	2018	Thomas Küstner Sergios Gatidis Annika Liebgott Martin Schwartz Lars Mauch Petros Martirosian H. R. Schmidt NF Schwenzer Konstantin Nikolaou Fabian Bamberg	6
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	5
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction	2018	Chen Qin Jo Schlemper José Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert	5
+ PDF Chat	Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation	2020	İlkay Öksüz James R. Clough Bram Ruijsink Esther Puyol Antón Aurélien Bustin Gastão Cruz Claudia Prieto Andrew P. King Julia A. Schnabel	4
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	4
+ PDF Chat	Image reconstruction by domain-transform manifold learning	2018	Bo Zhu Jeremiah Zhe Liu Stephen Cauley Bruce R. Rosen Matthew S. Rosen	4
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	4
+ PDF Chat	A roadmap for the computation of persistent homology	2017	Nina Otter Mason A. Porter Ulrike Tillmann Peter Grindrod Heather A. Harrington	3
+ PDF Chat	Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks	2018	Dongwook Lee Jaejun Yoo Sungho Tak Jong Chul Ye	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging	2017	R. H. Robinson Vanya V. Valindria Wenjia Bai Hideaki Suzuki Paul M. Matthews Chris Page Daniel Rueckert Ben Glocker	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	3
+	Efficient Computation of Persistent Homology for Cubical Data	2011	Hubert Wagner Chao Chen Erald Vuçını	3
+	TopoReg: A Topological Regularizer for Classifiers.	2018	Chao Chen Xiuyan Ni Qinxun Bai Yusu Wang	3
+ PDF Chat	Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation	2021	Francesco Galati María A. Zuluaga	3
+ PDF Chat	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang	3
+ PDF Chat	Learning-Based Quality Control for Cardiac MR Images	2018	Giacomo Tarroni Ozan Oktay Wenjia Bai Andreas Schuh Hideaki Suzuki Jonathan Passerat‐Palmbach Antonio de Marvao Declan P. O’Regan Stuart A. Cook Ben Glocker	3
+ PDF Chat	Beyond the Pixel-Wise Loss for Topology-Aware Delineation	2018	Agata Mosinska Pablo Márquez-Neila Mateusz Koziński Pascal Fua	3
+ PDF Chat	Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling	2018	Carlo Biffi Ozan Oktay Giacomo Tarroni Wenjia Bai Antonio de Marvao Georgia Doumou Martin Rajchl Reem Bedair Sanjay Prasad Stuart A. Cook	3
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	2
+ PDF Chat	Brain Segmentation from k-Space with End-to-End Recurrent Attention Network	2019	Qiaoying Huang Xiaohong Chen Dimitris Metaxas Mariappan S. Nadar	2
+ PDF Chat	Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images	2020	Chen Chen Wenjia Bai Rhodri Davies Anish Bhuva Charlotte Manisty João B. Augusto James Moon Nay Aung Aaron M. Lee Mihir M. Sanghvi	2
+ PDF Chat	Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network	2019	Liyan Sun Zhiwen Fan Xinghao Ding Yue Huang John Paisley	2
+ PDF Chat	MRF denoising with compressed sensing and adaptive filtering	2014	Zhe Wang Qinwei Zhang Jing Yuan Xiaogang Wang	2
+ PDF Chat	Better than real: Complex-valued neural nets for MRI fingerprinting	2017	Patrick Virtue Stella X. Yu Michael Lustig	2
+ PDF Chat	${k}$ -Space Deep Learning for Accelerated MRI	2019	Yoseob Han Leonard Sunwoo Jong Chul Ye	2
+ PDF Chat	Energy Predictive Models with Limited Data using Transfer Learning	2019	Ali Hooshmand Ratnesh Sharma	2
+ PDF Chat	Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology	2019	James R. Clough İlkay Öksüz Nick Byrne Julia A. Schnabel Andrew P. King	2
+	Please Stop Explaining Black Box Models for High Stakes Decisions.	2018	Cynthia Rudin	2
+	Segmentation-Aware Image Denoising without Knowing True Segmentation	2019	Sicheng Wang Bihan Wen Junru Wu Dacheng Tao Zhangyang Wang	2
+ PDF Chat	Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection	2018	İlkay Öksüz Bram Ruijsink Esther Puyol‐Antón Aurélien Bustin Gastão Cruz Claudia Prieto Daniel Rueckert Julia A. Schnabel Andrew P. King	2
+ PDF Chat	MR fingerprinting Deep RecOnstruction NEtwork (DRONE)	2018	Ouri Cohen Bo Zhu Matthew S. Rosen	2
+ PDF Chat	Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease	2018	Andreas Hauptmann Simon Arridge Felix Lucka Vivek Muthurangu Jennifer A. Steeden	2
+	Comparative Study of CNN and RNN for Natural Language Processing	2017	Wenpeng Yin Katharina Kann Mo Yu Hinrich Schütze	2
+ PDF Chat	Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets	2015	Florian Ziel Rick Steinert Sven Husmann	2
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	2
+ PDF Chat	CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN	2017	Aliasghar Mortazi Rashed Karim Kawal Rhode Jeremy R. Burt Ulaş Bağcı	2
+ PDF Chat	Barcodes: The persistent topology of data	2007	Robert Ghrist	2
+	The Effectiveness of Data Augmentation in Image Classification using Deep Learning	2017	Luis Perez Jason Wang	2
+	When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach	2018	Ding Liu Bihan Wen Xianming Liu Zhangyang Wang Thomas Huang	2
+ PDF Chat	Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks	2018	Florian Ziel Rafał Weron	2
+	EU regulations on algorithmic decision-making and a "right to explanation".	2016	Bryce Goodman Seth Flaxman	2
+	Forecasting day-ahead electricity prices in Europe: The importance of considering market integration	2017	Jesus Lago Fjo De Ridder Peter Vrancx Bart De Schutter	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2