Ender Konukoglu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 126

Top Venues

University of Nice Sophia Antipolis, France (PHD)

Education History

University of Nice Sophia Antipolis, France

PHD

Publications

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. Medical Image Anal. 87 (2023)
Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Jan Unkelbach, Ender Konukoglu
Volumetric memory network for interactive medical image segmentation. Medical Image Anal. 83 (2023)
Tianfei Zhou, Ender Konukoglu
FedFA: Federated Feature Augmentation. ICLR (2023)
Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool
MultiVT: Multiple-Task Framework for Dentistry. DART@MICCAI (2023)
Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. WACV (2023)
Omar Atamny, Ardan M. Saguner, Roger Abächerli, Ender Konukoglu
Outlier Detection in ECG. CinC (2023)
Sara Sangalli, Ertunc Erdil, Ender Konukoglu
Expert load matters: operating networks at high accuracy and low manual effort. CoRR (2023)
Kyriakos Flouris, Ender Konukoglu
Canonical normalizing flows for manifold learning. CoRR (2023)
Tianfei Zhou, Ender Konukoglu
FedFA: Federated Feature Augmentation. CoRR (2023)
Kyriakos Flouris, Ender Konukoglu
Canonical normalizing flows for manifold learning. NeurIPS (2023)
Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Explicitly Minimizing the Blur Error of Variational Autoencoders. CoRR (2023)
Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding. CoRR (2023)
Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu
Quantification of Predictive Uncertainty via Inference-Time Sampling. CoRR (2023)
Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR (2023)
Sara Sangalli, Ertunc Erdil, Ender Konukoglu
Expert load matters: operating networks at high accuracy and low manual effort. NeurIPS (2023)
Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Explicitly Minimizing the Blur Error of Variational Autoencoders. ICLR (2023)
Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu
Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding. IPMI (2023)
Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Jakob Geusen, Gustav Bredell, Tianfei Zhou, Ender Konukoglu
Unsupervised Superpixel Generation using Edge-Sparse Embedding. CoRR (2022)
Agustina La Greca Saint-Esteven, Marta Bogowicz, Ender Konukoglu, Oliver Riesterer, Panagiotis Balermpas, Matthias Guckenberger, Stephanie Tanadini-Lang, Janita E. van Timmeren
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Comput. Biol. Medicine 142 (2022)
Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool
Rethinking Semantic Segmentation: A Prototype View. CVPR (2022)
Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool
Zero Pixel Directional Boundary by Vector Transform. CoRR (2022)
Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool
Zero Pixel Directional Boundary by Vector Transform. ICLR (2022)
Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu
A Field of Experts Prior for Adapting Neural Networks at Test Time. CoRR (2022)
Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu
Quantification of Predictive Uncertainty via Inference-Time Sampling. UNSURE@MICCAI (2022)
Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool
Neural Vector Fields for Surface Representation and Inference. CoRR (2022)
Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool
Rethinking Semantic Segmentation: A Prototype View. CoRR (2022)
Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. CVPR (2022)
Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior. IEEE Trans. Medical Imaging 41 (7) (2022)
Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. 68 (2021)
Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. CoRR (2021)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. CoRR (2021)
Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu
Gradient flow encoding with distance optimization adaptive step size. CoRR (2021)
Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. CoRR (2021)
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV (2021)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised task-driven data augmentation for medical image segmentation. Medical Image Anal. 68 (2021)
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. CoRR (2021)
Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. MLMI@MICCAI (2021)
Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. CoRR (2021)
Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI (2021)
Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu
Normative ascent with local gaussians for unsupervised lesion detection. Medical Image Anal. 74 (2021)
Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR (2021)
Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. CoRR (2021)
Federico Turella, Gustav Bredell, Alexander Okupnik, Sebastiano Caprara, Dimitri Graf, Reto Sutter, Ender Konukoglu
High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI. MICCAI (1) (2021)
Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. MICCAI (2) (2021)
Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu
Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. CoRR (2021)
Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni
The OOD Blind Spot of Unsupervised Anomaly Detection. MIDL (2021)
Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes. NeurIPS (2021)
Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu
Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging. MICCAI (2) (2020)
Anna Volokitin, Ender Konukoglu, Luc Van Gool
Decomposing Image Generation into Layout Prediction and Conditional Synthesis. CVPR Workshops (2020)
Marc Gantenbein, Ertunc Erdil, Ender Konukoglu
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. UNSURE/GRAIL@MICCAI (2020)
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE. CoRR (2020)
Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu
Sampling possible reconstructions of undersampled acquisitions in MR imaging. CoRR (2020)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. CoRR (2020)
Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. CoRR (2020)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Contrastive learning of global and local features for medical image segmentation with limited annotations. NeurIPS (2020)
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
Probabilistic 3D surface reconstruction from sparse MRI information. CoRR (2020)
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. MICCAI (7) (2020)
Marc Gantenbein, Ertunc Erdil, Ender Konukoglu
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. CoRR (2020)
Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
Unsupervised out-of-distribution detection using kernel density estimation. CoRR (2020)
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
Probabilistic 3D Surface Reconstruction from Sparse MRI Information. MICCAI (1) (2020)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Contrastive learning of global and local features for medical image segmentation with limited annotations. CoRR (2020)
Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR (2020)
Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu
Joint reconstruction and bias field correction for undersampled MR imaging. CoRR (2020)
Neerav Karani, Krishna Chaitanya, Ender Konukoglu
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. CoRR (2020)
Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu
Unsupervised lesion detection via image restoration with a normative prior. Medical Image Anal. 64 (2020)
M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR (2019)
Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu
Unsupervised Lesion Detection with Locally Gaussian Approximation. MLMI@MICCAI (2019)
Suhang You, Kerem Can Tezcan, Xiaoran Chen, Ender Konukoglu
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. MIDL (2019)
Neerav Karani, Lin Zhang, Christine Tanner, Ender Konukoglu
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. Medical Image Anal. 54 (2019)
Robin Brügger, Christian F. Baumgartner, Ender Konukoglu
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. MICCAI (3) (2019)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. MICCAI (2) (2019)
Robin Brügger, Christian F. Baumgartner, Ender Konukoglu
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. CoRR (2019)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu
Semi-Supervised and Task-Driven Data Augmentation. CoRR (2019)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised and Task-Driven Data Augmentation. IPMI (2019)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. CoRR (2019)
Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. 20 (2019)
Kerem Can Tezcan, Christian F. Baumgartner, Roger Luechinger, Klaas P. Pruessmann, Ender Konukoglu
MR Image Reconstruction Using Deep Density Priors. IEEE Trans. Medical Imaging 38 (7) (2019)
Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. CoRR (2019)
Hector Dejea, Christine Tanner, Radhakrishna Achanta, Marco Stampanoni, Fernando Pérez-Cruz, Ender Konukoglu, Anne Bonnin
Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model. FIMH (2019)
Lukás Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu
Adversarial Augmentation for Enhancing Classification of Mammography Images. CoRR (2019)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. CoRR (2018)
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
Visual Feature Attribution Using Wasserstein GANs. CVPR (2018)
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. CoRR (2018)
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. MLMI@MICCAI (2018)
Ender Konukoglu, Ben Glocker
Reconstructing subject-specific effect maps. NeuroImage 181 (2018)
Hui Wang, Caroline Magnain, Ruopeng Wang, Jay Dubb, Ani Varjabedian, Lee S. Tirrell, Allison Stevens, Jean C. Augustinack, Ender Konukoglu, Iman Aganj, Matthew P. Frosch, Jeremy D. Schmahmann, Bruce Fischl, David A. Boas
as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. NeuroImage 165 (2018)
Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. CoRR (2018)
Christine Tanner, Firat Özdemir, Romy Profanter, Valery Vishnevsky, Ender Konukoglu, Orçun Göksel
Generative Adversarial Networks for MR-CT Deformable Image Registration. CoRR (2018)
Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots. Neurocomputing 275 (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) (2018)
Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 37 (10) (2018)
Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. 65 (4) (2018)
Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu, Helder Araújo, Ender Konukoglu, Metin Sitti
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots. Mach. Vis. Appl. 29 (2) (2018)
Xiaoran Chen, Ender Konukoglu
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders. CoRR (2018)
Gustav Bredell, Christine Tanner, Ender Konukoglu
Iterative Interaction Training for Segmentation Editing Networks. MLMI@MICCAI (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR (2018)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI (2018)
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. ShapeMI@MICCAI (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ender Konukoglu