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Books and Theses

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2009
[b1]
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Ender Konukoglu:
Modeling Glioma Growth and Personalizing Growth Models in Medical Images. (Modélisation de la croissance des gliomes et personnalisation des modéles de croissance à l'aide d'images médicales). University of Nice Sophia Antipolis, France, 2009

Journal Articles

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2024
[j37]
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Shadi Albarqouni, Christian F. Baumgartner, Qi Dou, Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman:
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. Medical Image Anal. 98: 103308 (2024)
2023
[j36]
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Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Jan Unkelbach, Ender Konukoglu:
Volumetric memory network for interactive medical image segmentation. Medical Image Anal. 83: 102599 (2023)
[j35]
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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: 102792 (2023)
[j34]
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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): 6955-6967 (2023)
2022
[j33]
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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: 105215 (2022)
[j32]
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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): 1885-1896 (2022)
2021
[j31]
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Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu:
Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. 68: 101907 (2021)
[j30]
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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: 101934 (2021)
[j29]
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Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Normative ascent with local gaussians for unsupervised lesion detection. Medical Image Anal. 74: 102208 (2021)
2020
[j28]
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Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu:
Unsupervised lesion detection via image restoration with a normative prior. Medical Image Anal. 64: 101713 (2020)
2019
[j27]
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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: 178:1-178:29 (2019)
[j26]
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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: 20-29 (2019)
[j25]
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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): 1633-1642 (2019)
2018
[j24]
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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: 1861-1870 (2018)
[j23]
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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): 345-359 (2018)
[j22]
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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: 56-68 (2018)
[j21]
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Ender Konukoglu, Ben Glocker:
Reconstructing subject-specific effect maps. NeuroImage 181: 521-538 (2018)
[j20]
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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): 733-744 (2018)
[j19]
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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): 2333-2343 (2018)
2017
[j18]
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Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots. Int. J. Intell. Robotics Appl. 1(4): 399-409 (2017)
[j17]
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Mehmet Turan, Jahanzaib Shabbir, Helder Araújo, Ender Konukoglu, Metin Sitti:
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots. Int. J. Intell. Robotics Appl. 1(4): 442-450 (2017)
2016
[j16]
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Ender Konukoglu, Jean-Philippe Coutu, David H. Salat, Bruce Fischl:
Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease. NeuroImage 134: 573-586 (2016)
2015
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Melanie Ganz, Douglas N. Greve, Bruce Fischl, Ender Konukoglu:
Relevant feature set estimation with a knock-out strategy and random forests. NeuroImage 122: 131-148 (2015)
[j14]
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Mert R. Sabuncu, Ender Konukoglu:
Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study. Neuroinformatics 13(1): 31-46 (2015)
[j13]
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Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015)
2013
[j12]
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Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood approximation using randomized forests. Medical Image Anal. 17(7): 790-804 (2013)
[j11]
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Antonio Criminisi, Duncan P. Robertson, Ender Konukoglu, Jamie Shotton, Sayan D. Pathak, Steve White, Khan M. Siddiqui:
Regression forests for efficient anatomy detection and localization in computed tomography scans. Medical Image Anal. 17(8): 1293-1303 (2013)
[j10]
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Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2284-2297 (2013)
2012
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Antonio Criminisi, Jamie Shotton, Ender Konukoglu:
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning. Found. Trends Comput. Graph. Vis. 7(2-3): 81-227 (2012)
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Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl:
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31(12): 2278-2289 (2012)
2011
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Erik Pernod, Maxime Sermesant, Ender Konukoglu, Jatin Relan, Herve Delingette, Nicholas Ayache:
A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation. Comput. Graph. 35(2): 431-440 (2011)
[j6]
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Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache:
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. NeuroImage 57(2): 378-390 (2011)
2010
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Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, Nicholas Ayache:
Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins. Medical Image Anal. 14(2): 111-125 (2010)
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Ender Konukoglu, Olivier Clatz, Bjoern H. Menze, Bram Stieltjes, Marc-André Weber, Emmanuel Mandonnet, Herve Delingette, Nicholas Ayache:
Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. IEEE Trans. Medical Imaging 29(1): 77-95 (2010)
2007
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Ender Konukoglu, Burak Acar:
HDF: Heat diffusion fields for polyp detection in CT colonography. Signal Process. 87(10): 2407-2416 (2007)
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Ender Konukoglu, Burak Acar, David S. Paik, Christopher F. Beaulieu, Jarrett Rosenberg, Sandy Napel:
Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study. IEEE Trans. Medical Imaging 26(12): 1649-1656 (2007)
2006
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Erdem Yörük, Ender Konukoglu, Bülent Sankur, Jérôme Darbon:
Shape-Based Hand Recognition. IEEE Trans. Image Process. 15(7): 1803-1815 (2006)

Conference and Workshop Papers

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2024
[c68]
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Yanke Wang, Yolanne Yi Ran Lee, Aurelio Dolfini, Markus Reischl, Ender Konukoglu, Kyriakos Flouris:
Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI. DGM4MICCAI@MICCAI 2024: 22-32
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Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu:
Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction. MICCAI (6) 2024: 736-746
2023
[c66]
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Omar Atamny, Ardan M. Saguner, Roger Abächerli, Ender Konukoglu:
Outlier Detection in ECG. CinC 2023: 1-4
[c65]
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Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu:
Explicitly Minimizing the Blur Error of Variational Autoencoders. ICLR 2023
[c64]
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Tianfei Zhou, Ender Konukoglu:
FedFA: Federated Feature Augmentation. ICLR 2023
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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: 107-118
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Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
MultiVT: Multiple-Task Framework for Dentistry. DART@MICCAI 2023: 12-21
[c61]
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Kyriakos Flouris, Ender Konukoglu:
Canonical normalizing flows for manifold learning. NeurIPS 2023
[c60]
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Sara Sangalli, Ertunc Erdil, Ender Konukoglu:
Expert load matters: operating networks at high accuracy and low manual effort. NeurIPS 2023
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Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu:
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. WACV 2023: 3046-3055
2022
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Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu:
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. CVPR 2022: 1950-1958
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Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CVPR 2022: 2572-2583
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Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. ICLR 2022
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Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. UNSURE@MICCAI 2022: 14-25
2021
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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: 133-140
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Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV 2021: 7283-7293
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Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu:
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI 2021: 91-101
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Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu:
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. MICCAI (2) 2021: 560-570
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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: 565-575
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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: 689-698
[c48]
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Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni:
The OOD Blind Spot of Unsupervised Anomaly Detection. MIDL 2021: 286-300
[c47]
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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: 25400-25411
2020
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Anna Volokitin, Ender Konukoglu, Luc Van Gool:
Decomposing Image Generation into Layout Prediction and Conditional Synthesis. CVPR Workshops 2020: 1530-1538
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Marc Gantenbein, Ertunc Erdil, Ender Konukoglu:
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. UNSURE/GRAIL@MICCAI 2020: 13-22
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Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu:
Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging. MICCAI (2) 2020: 44-52
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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: 657-666
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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: 813-823
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Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Contrastive learning of global and local features for medical image segmentation with limited annotations. NeurIPS 2020
2019
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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: 187-195
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Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised and Task-Driven Data Augmentation. IPMI 2019: 29-41
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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: 119-127
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Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Unsupervised Lesion Detection with Locally Gaussian Approximation. MLMI@MICCAI 2019: 355-363
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Robin Brügger, Christian F. Baumgartner, Ender Konukoglu:
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. MICCAI (3) 2019: 429-437
[c35]
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Suhang You, Kerem Can Tezcan, Xiaoran Chen, Ender Konukoglu:
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. MIDL 2019: 540-556
2018
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Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu:
Visual Feature Attribution Using Wasserstein GANs. CVPR 2018: 8309-8319
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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: 236-244
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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: 276-284
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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: 300-310
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Gustav Bredell, Christine Tanner, Ender Konukoglu:
Iterative Interaction Training for Segmentation Editing Networks. MLMI@MICCAI 2018: 363-370
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Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu:
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) 2018: 476-484
2017
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Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu:
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. STACOM@MICCAI 2017: 111-119
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Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu:
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing. MICCAI (2) 2017: 359-367
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Melanie Ganz, Ender Konukoglu:
Permutation tests for classification: revisited. PRNI 2017: 1-4
2016
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Ender Konukoglu, Ben Glocker:
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. MCV/BAMBI@MICCAI 2016: 3-13
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Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert:
Correction of Fat-Water Swaps in Dixon MRI. MICCAI (3) 2016: 536-543
2013
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Florian Dittmann, Bjoern H. Menze, Ender Konukoglu, Jan Unkelbach:
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. MBIA 2013: 63-73
[c22]
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Ender Konukoglu, André J. W. van der Kouwe, Mert Rory Sabuncu, Bruce Fischl:
Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions. MICCAI (1) 2013: 131-138
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Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu:
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI 2013: 171-178
[c20]
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Ben Glocker, Darko Zikic, Ender Konukoglu, David R. Haynor, Antonio Criminisi:
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. MICCAI (2) 2013: 262-270
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Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu:
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) 2013: 606-613
[c18]
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Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl:
Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? MICCAI (1) 2013: 631-638
2012
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Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi:
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. ECCV (4) 2012: 870-881
[c16]
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Elena Bernardis, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl:
Temporal Shape Analysis via the Spectral Signature. MICCAI (2) 2012: 49-56
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Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood Approximation Forests. MICCAI (3) 2012: 75-82
[c14]
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Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price:
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) 2012: 369-376
[c13]
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Ben Glocker, Johannes Feulner, Antonio Criminisi, David R. Haynor, Ender Konukoglu:
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. MICCAI (3) 2012: 590-598
2011
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Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI 2011: 25-36
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Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland:
A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI 2011: 735-747
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Ender Konukoglu, Antonio Criminisi, Sayan D. Pathak, Duncan P. Robertson, Steve White, David R. Haynor, Khan M. Siddiqui:
Robust linear registration of CT images using random regression forests. Medical Imaging: Image Processing 2011: 79621X
2010
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Antonio Criminisi, Jamie Shotton, Duncan P. Robertson, Ender Konukoglu:
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. MCV 2010: 106-117
[c8]
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Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache:
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. MICCAI (1) 2010: 111-118
2008
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Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl:
Monitoring slowly evolving tumors. ISBI 2008: 812-815
2007
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Maxime Sermesant, Ender Konukoglu, Hervé Delingette, Yves Coudière, Phani Chinchapatnam, Kawal S. Rhode, Reza Razavi, Nicholas Ayache:
An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology. FIMH 2007: 160-169
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Ender Konukoglu, Maxime Sermesant, Olivier Clatz, Jean-Marc Peyrat, Hervé Delingette, Nicholas Ayache:
A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling. IPMI 2007: 687-699
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Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Maxime Sermesant, Hervé Delingette, Nicholas Ayache:
Towards an Identification of Tumor Growth Parameters from Time Series of Images. MICCAI (1) 2007: 549-556
2006
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Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, Nicholas Ayache:
Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions. MICCAI (1) 2006: 338-346
2005
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Ender Konukoglu, Burak Acar, David S. Paik, Christopher F. Beaulieu, Sandy Napel:
Heat diffusion based detection of colonic polyps in CT colonography. EUSIPCO 2005: 1-4
2004
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Erdem Yörük, Ender Konukoglu, Bülent Sankur, Jérôme Darbon:
Person authentication based on hand shape. EUSIPCO 2004: 1233-1236

Editorship

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2022
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Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou, Shadi Albarqouni:
International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland. Proceedings of Machine Learning Research 172, PMLR 2022 [contents]
2021
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Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents]
2019
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M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents]
2012
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Oscar Camara, Ender Konukoglu, Mihaela Pop, Kawal S. Rhode, Maxime Sermesant, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7085, Springer 2012, ISBN 978-3-642-28325-3 [contents]

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2024
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Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu:
Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction. CoRR abs/2405.09355 (2024)
[i69]
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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)
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Anna Susmelj, Mael Macuglia, Natasa Tagasovska, Reto Sutter, Sebastiano Caprara, Jean-Philippe Thiran, Ender Konukoglu:
Uncertainty modeling for fine-tuned implicit functions. CoRR abs/2406.12082 (2024)
[i67]
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Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool:
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. CoRR abs/2406.17438 (2024)
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Qi Ma, Yue Li, Bin Ren, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Danda Pani Paudel:
ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining. CoRR abs/2408.10906 (2024)
[i65]
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Tianfei Zhou, Fei Zhang, Boyu Chang, Wenguan Wang, Ye Yuan, Ender Konukoglu, Daniel Cremers:
Image Segmentation in Foundation Model Era: A Survey. CoRR abs/2408.12957 (2024)
[i64]
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Kerem Cekmeceli, Meva Himmetoglu, Guney I. Tombak, Anna Susmelj, Ertunc Erdil, Ender Konukoglu:
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation? CoRR abs/2409.07960 (2024)
[i63]
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Yuli Zhou, Guolei Sun, Yawei Li, Luca Benini, Ender Konukoglu:
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation. CoRR abs/2409.18653 (2024)
2023
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Tianfei Zhou, Ender Konukoglu:
FedFA: Federated Feature Augmentation. CoRR abs/2301.12995 (2023)
[i61]
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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 abs/2302.09886 (2023)
[i60]
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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 abs/2303.18019 (2023)
[i59]
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Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu:
Explicitly Minimizing the Blur Error of Variational Autoencoders. CoRR abs/2304.05939 (2023)
[i58]
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Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. CoRR abs/2308.01731 (2023)
[i57]
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Sara Sangalli, Ertunc Erdil, Ender Konukoglu:
Expert load matters: operating networks at high accuracy and low manual effort. CoRR abs/2308.05035 (2023)
[i56]
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Kyriakos Flouris, Ender Konukoglu:
Canonical normalizing flows for manifold learning. CoRR abs/2310.12743 (2023)
2022
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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 abs/2202.05271 (2022)
[i54]
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Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. CoRR abs/2203.08795 (2022)
[i53]
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Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CoRR abs/2203.15102 (2022)
[i52]
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Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
Neural Vector Fields for Surface Representation and Inference. CoRR abs/2204.06552 (2022)
[i51]
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Jakob Geusen, Gustav Bredell, Tianfei Zhou, Ender Konukoglu:
Unsupervised Superpixel Generation using Edge-Sparse Embedding. CoRR abs/2211.15474 (2022)
2021
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Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR abs/2101.07589 (2021)
[i49]
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Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. CoRR abs/2101.11939 (2021)
[i48]
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Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu:
Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. CoRR abs/2102.12894 (2021)
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Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu:
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. CoRR abs/2103.16670 (2021)
[i46]
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Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu:
Gradient flow encoding with distance optimization adaptive step size. CoRR abs/2105.05031 (2021)
[i45]
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  - journals/corr/abs-2106-10686
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Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu:
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. CoRR abs/2106.10686 (2021)
[i44]
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  - journals/corr/abs-2111-15362
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Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu:
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. CoRR abs/2111.15362 (2021)
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Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. CoRR abs/2112.09645 (2021)
[i42]
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Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu:
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. CoRR abs/2112.10271 (2021)
2020
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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 abs/2001.11711 (2020)
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Neerav Karani, Krishna Chaitanya, Ender Konukoglu:
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. CoRR abs/2004.04668 (2020)
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Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu:
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. CoRR abs/2005.00031 (2020)
[i38]
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Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Contrastive learning of global and local features for medical image segmentation with limited annotations. CoRR abs/2006.10511 (2020)
[i37]
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Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu:
Unsupervised out-of-distribution detection using kernel density estimation. CoRR abs/2006.10712 (2020)
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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 abs/2007.04780 (2020)
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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 abs/2007.05363 (2020)
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Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu:
Joint reconstruction and bias field correction for undersampled MR imaging. CoRR abs/2007.13123 (2020)
[i33]
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Marc Gantenbein, Ertunc Erdil, Ender Konukoglu:
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. CoRR abs/2008.06999 (2020)
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Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu:
Sampling possible reconstructions of undersampled acquisitions in MR imaging. CoRR abs/2010.00042 (2020)
[i31]
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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 abs/2010.02041 (2020)
2019
[i30]
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Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu:
Semi-Supervised and Task-Driven Data Augmentation. CoRR abs/1902.05396 (2019)
[i29]
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Lukás Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu:
Adversarial Augmentation for Enhancing Classification of Mammography Images. CoRR abs/1902.07762 (2019)
[i28]
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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 abs/1906.04045 (2019)
[i27]
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Robin Brügger, Christian F. Baumgartner, Ender Konukoglu:
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. CoRR abs/1906.06148 (2019)
[i26]
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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 abs/1907.08612 (2019)
[i25]
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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 abs/1910.04597 (2019)
2018
[i24]
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Lin Zhang, Neerav Karani, Christine Tanner, Ender Konukoglu:
Temporal Interpolation via Motion Field Prediction. CoRR abs/1804.04440 (2018)
[i23]
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Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu:
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR abs/1805.10170 (2018)
[i22]
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Xiaoran Chen, Ender Konukoglu:
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders. CoRR abs/1806.04972 (2018)
[i21]
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Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu:
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. CoRR abs/1806.05452 (2018)
[i20]
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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 abs/1807.04668 (2018)
[i19]
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Christine Tanner, Firat Özdemir, Romy Profanter, Valery Vishnevsky, Ender Konukoglu, Orçun Göksel:
Generative Adversarial Networks for MR-CT Deformable Image Registration. CoRR abs/1807.07349 (2018)
[i18]
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Gustav Bredell, Christine Tanner, Ender Konukoglu:
Iterative Interaction Training for Segmentation Editing Networks. CoRR abs/1807.08555 (2018)
[i17]
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  - journals/corr/abs-1807-08935
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Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. CoRR abs/1807.08935 (2018)
[i16]
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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. CoRR abs/1807.11272 (2018)
[i15]
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Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. CoRR abs/1809.10780 (2018)
[i14]
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Anton S. Becker, Lukás Jendele, Ondrej Skopek, Nicole Berger, Soleen Ghafoor, Magda Marcon, Ender Konukoglu:
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks. CoRR abs/1811.07767 (2018)
2017
[i13]
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Ender Konukoglu, Ben Glocker:
SubCMap: Subject and Condition Specific Effect Maps. CoRR abs/1701.02610 (2017)
[i12]
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Mehmet Turan, Yasin Almalioglu, Ender Konukoglu, Metin Sitti:
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots. CoRR abs/1705.05435 (2017)
[i11]
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Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots. CoRR abs/1705.05444 (2017)
[i10]
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Mehmet Turan, Abdullah Abdullah, Redhwan Jamiruddin, Helder Araújo, Ender Konukoglu, Metin Sitti:
Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network. CoRR abs/1705.06196 (2017)
[i9]
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Mehmet Turan, Yusuf Yigit Pilavci, Redhwan Jamiruddin, Helder Araújo, Ender Konukoglu, Metin Sitti:
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot. CoRR abs/1705.06524 (2017)
[i8]
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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. CoRR abs/1708.06822 (2017)
[i7]
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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. CoRR abs/1708.09740 (2017)
[i6]
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  - journals/corr/abs-1709-04496
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Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu:
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. CoRR abs/1709.04496 (2017)
[i5]
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  - journals/corr/abs-1711-08998
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Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu:
Visual Feature Attribution using Wasserstein GANs. CoRR abs/1711.08998 (2017)
[i4]
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Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu:
MR image reconstruction using the learned data distribution as prior. CoRR abs/1711.11386 (2017)
2014
[i3]
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Ender Konukoglu, Melanie Ganz:
Approximate False Positive Rate Control in Selection Frequency for Random Forest. CoRR abs/1410.2838 (2014)
2012
[i2]
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  - journals/corr/abs-1208-5016
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Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity. CoRR abs/1208.5016 (2012)
2007
[i1]
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Olivier Clatz, Ender Konukoglu, Pierre-Yves Bondiau, Simon K. Warfield, Hervé Delingette, Nicholas Ayache:
Computational Brain Tumours. ERCIM News 2007(69) (2007)

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