Person authentication based on hand shape. - Erdem Yörük; Ender Konukoglu; Bülent Sankur; Jérôme Darbon (EUSIPCO, 2004)

Heat diffusion based detection of colonic polyps in CT colonography. - Ender Konukoglu; Burak Acar; David S. Paik; Christopher F. Beaulieu; Sandy Napel (EUSIPCO, 2005)

Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions. - Ender Konukoglu; Olivier Clatz; Pierre-Yves Bondiau; Hervé Delingette; Nicholas Ayache (MICCAI (1), 2006)

Shape-Based Hand Recognition. - Erdem Yörük; Ender Konukoglu; Bülent Sankur; Jérôme Darbon (IEEE Trans. Image Process., 2006)

An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology. - Maxime Sermesant; Ender Konukoglu; Hervé Delingette; Yves Coudière; Phani Chinchapatnam; Kawal S. Rhode; Reza Razavi; Nicholas Ayache (FIMH, 2007)

A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling. - Ender Konukoglu; Maxime Sermesant; Olivier Clatz; Jean-Marc Peyrat; Hervé Delingette; Nicholas Ayache (IPMI, 2007)

Towards an Identification of Tumor Growth Parameters from Time Series of Images. - Ender Konukoglu; Olivier Clatz; Pierre-Yves Bondiau; Maxime Sermesant; Hervé Delingette; Nicholas Ayache (MICCAI (1), 2007)

Computational Brain Tumours. - Olivier Clatz; Ender Konukoglu; Pierre-Yves Bondiau; Simon K. Warfield; Hervé Delingette; Nicholas Ayache (ERCIM News, 2007)

HDF: Heat diffusion fields for polyp detection in CT colonography. - Ender Konukoglu; Burak Acar (Signal Process., 2007)

Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study. - Ender Konukoglu; Burak Acar; David S. Paik; Christopher F. Beaulieu; Jarrett Rosenberg; Sandy Napel (IEEE Trans. Medical Imaging, 2007)

Monitoring slowly evolving tumors. - Ender Konukoglu; William M. Wells III; Sébastien Novellas; Nicholas Ayache; Ron Kikinis; Peter M. Black; Kilian M. Pohl (ISBI, 2008)

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). - Ender Konukoglu (2009)

Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. - Antonio Criminisi; Jamie Shotton; Duncan P. Robertson; Ender Konukoglu (MCV, 2010)

Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. - Ezequiel Geremia; Bjoern H. Menze; Olivier Clatz; Ender Konukoglu; Antonio Criminisi; Nicholas Ayache (MICCAI (1), 2010)

Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins. - Ender Konukoglu; Olivier Clatz; Pierre-Yves Bondiau; Hervé Delingette; Nicholas Ayache (Medical Image Anal., 2010)

Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. - Ender Konukoglu; Olivier Clatz; Bjoern H. Menze; Bram Stieltjes; Marc-André Weber; Emmanuel Mandonnet; Herve Delingette; Nicholas Ayache (IEEE Trans. Medical Imaging, 2010)

Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. - Juan Eugenio Iglesias; Ender Konukoglu; Albert Montillo; Zhuowen Tu; Antonio Criminisi (IPMI, 2011)

A Generative Approach for Image-Based Modeling of Tumor Growth. - Bjoern H. Menze; Koen Van Leemput; Antti Honkela; Ender Konukoglu; Marc-André Weber; Nicholas Ayache; Polina Golland (IPMI, 2011)

Robust linear registration of CT images using random regression forests. - Ender Konukoglu; Antonio Criminisi; Sayan D. Pathak; Duncan P. Robertson; Steve White; David R. Haynor; Khan M. Siddiqui (Image Processing, 2011)

A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation. - Erik Pernod; Maxime Sermesant; Ender Konukoglu; Jatin Relan; Herve Delingette; Nicholas Ayache (Comput. Graph., 2011)

Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. - Ezequiel Geremia; Olivier Clatz; Bjoern H. Menze; Ender Konukoglu; Antonio Criminisi; Nicholas Ayache (NeuroImage, 2011)

Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. - Ben Glocker; Olivier Pauly; Ender Konukoglu; Antonio Criminisi (ECCV (4), 2012)

Temporal Shape Analysis via the Spectral Signature. - Elena Bernardis; Ender Konukoglu; Yangming Ou; Dimitris N. Metaxas; Benoit Desjardins; Kilian M. Pohl (MICCAI (2), 2012)

Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. - Ben Glocker; Johannes Feulner; Antonio Criminisi; David R. Haynor; Ender Konukoglu (MICCAI (3), 2012)

Neighbourhood Approximation Forests. - Ender Konukoglu; Ben Glocker; Darko Zikic; Antonio Criminisi (MICCAI (3), 2012)

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. - Darko Zikic; Ben Glocker; Ender Konukoglu; Antonio Criminisi; Çagatay Demiralp; Jamie Shotton; Owen M. Thomas; Tilak Das; Raj Jena; Stephen J. Price (MICCAI (3), 2012)

Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning. - Antonio Criminisi; Jamie Shotton; Ender Konukoglu (Found. Trends Comput. Graph. Vis., 2012)

Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. - Ender Konukoglu; Ben Glocker; Dong Hye Ye; Antonio Criminisi; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2012)

Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. - Florian Dittmann 002; Bjoern H. Menze; Ender Konukoglu; Jan Unkelbach (MBIA, 2013)

Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. - Ben Glocker; Darko Zikic; Ender Konukoglu; David R. Haynor; Antonio Criminisi (MICCAI (2), 2013)

Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? - Juan Eugenio Iglesias; Ender Konukoglu; Darko Zikic; Ben Glocker; Koen Van Leemput; Bruce Fischl (MICCAI (1), 2013)

On Feature Relevance in Image-Based Prediction Models: An Empirical Study. - Ender Konukoglu; Melanie Ganz; Koen Van Leemput; Mert R. Sabuncu (MLMI, 2013)

Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions. - Ender Konukoglu; André J. W. van der Kouwe; Mert Rory Sabuncu; Bruce Fischl (MICCAI (1), 2013)

Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. - Dong Hye Ye; Darko Zikic; Ben Glocker; Antonio Criminisi; Ender Konukoglu (MICCAI (1), 2013)

Regression forests for efficient anatomy detection and localization in computed tomography scans. - Antonio Criminisi; Duncan P. Robertson; Ender Konukoglu; Jamie Shotton; Sayan D. Pathak; Steve White; Khan M. Siddiqui (Medical Image Anal., 2013)

Neighbourhood approximation using randomized forests. - Ender Konukoglu; Ben Glocker; Darko Zikic; Antonio Criminisi (Medical Image Anal., 2013)

WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. - Ender Konukoglu; Ben Glocker; Antonio Criminisi; Kilian M. Pohl (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Approximate False Positive Rate Control in Selection Frequency for Random Forest. - Ender Konukoglu; Melanie Ganz (CoRR, 2014)

Relevant feature set estimation with a knock-out strategy and random forests. - Melanie Ganz; Douglas N. Greve; Bruce Fischl; Ender Konukoglu (NeuroImage, 2015)

Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study. - Mert R. Sabuncu; Ender Konukoglu (Neuroinformatics, 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - 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; et al. (IEEE Trans. Medical Imaging, 2015)

Correction of Fat-Water Swaps in Dixon MRI. - Ben Glocker; Ender Konukoglu; Ioannis Lavdas; Juan Eugenio Iglesias; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert (MICCAI (3), 2016)

Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. - Ender Konukoglu; Ben Glocker (MCV/BAMBI@MICCAI, 2016)

Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease. - Ender Konukoglu; Jean-Philippe Coutu; David H. Salat; Bruce Fischl (NeuroImage, 2016)

An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. - Christian F. Baumgartner; Lisa M. Koch; Marc Pollefeys; Ender Konukoglu (STACOM@MICCAI, 2017)

Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing. - Neerav Karani; Christine Tanner; Sebastian Kozerke; Ender Konukoglu (MICCAI (2), 2017)

Permutation tests for classification: revisited. - Melanie Ganz; Ender Konukoglu (PRNI, 2017)

SubCMap: Subject and Condition Specific Effect Maps. - Ender Konukoglu; Ben Glocker (CoRR, 2017)

A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots. - Mehmet Turan; Yasin Almalioglu; Helder Araújo; Ender Konukoglu; Metin Sitti (CoRR, 2017)

Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network. - Mehmet Turan; Abdullah Abdullah; Redhwan Jamiruddin; Helder Araújo; Ender Konukoglu; Metin Sitti (CoRR, 2017)

A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots. - Mehmet Turan; Yasin Almalioglu; Ender Konukoglu; Metin Sitti (CoRR, 2017)

A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot. - Mehmet Turan; Yusuf Yigit Pilavci; Redhwan Jamiruddin; Helder Araújo; Ender Konukoglu; Metin Sitti (CoRR, 2017)

MR image reconstruction using the learned data distribution as prior. - Kerem Can Tezcan; Christian F. Baumgartner; Ender Konukoglu (CoRR, 2017)

A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots. - Mehmet Turan; Yasin Almalioglu; Helder Araújo; Ender Konukoglu; Metin Sitti (Int. J. Intell. Robotics Appl., 2017)

A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots. - Mehmet Turan; Jahanzaib Shabbir; Helder Araújo; Ender Konukoglu; Metin Sitti (Int. J. Intell. Robotics Appl., 2017)

Visual Feature Attribution Using Wasserstein GANs. - Christian F. Baumgartner; Lisa M. Koch; Kerem Can Tezcan; Jia Xi Ang; Ender Konukoglu (CVPR, 2018)

Iterative Interaction Training for Segmentation Editing Networks. - Gustav Bredell; Christine Tanner; Ender Konukoglu (MLMI@MICCAI, 2018)

Learning to Segment Medical Images with Scribble-Supervision Alone. - Yigit Baran Can; Krishna Chaitanya; Basil Mustafa; Lisa M. Koch; Ender Konukoglu; Christian F. Baumgartner (DLMIA/ML-CDS@MICCAI, 2018)

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. - Neerav Karani; Krishna Chaitanya; Christian F. Baumgartner; Ender Konukoglu (MICCAI (1), 2018)

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. - Jana Kemnitz; Christian F. Baumgartner; Wolfgang Wirth; Felix Eckstein; Sebastian K. Eder; Ender Konukoglu (MLMI@MICCAI, 2018)

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Lisa M. Koch; Andrew P. King; Ender Konukoglu; Marc Pollefeys (ShapeMI@MICCAI, 2018)

Temporal Interpolation via Motion Field Prediction. - Lin Zhang 031; Neerav Karani; Christine Tanner; Ender Konukoglu (CoRR, 2018)

Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders. - Xiaoran Chen; Ender Konukoglu (CoRR, 2018)

Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. - Xiaoran Chen; Nick Pawlowski; Martin Rajchl; Ben Glocker; Ender Konukoglu (CoRR, 2018)

Generative Adversarial Networks for MR-CT Deformable Image Registration. - Christine Tanner; Firat Özdemir; Romy Profanter; Valery Vishnevsky; Ender Konukoglu; Orçun Göksel (CoRR, 2018)

Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks. - Anton S. Becker; Lukás Jendele; Ondrej Skopek; Nicole Berger; Soleen Ghafoor; Magda Marcon; Ender Konukoglu (CoRR, 2018)

Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots. - Mehmet Turan; Yasin Almalioglu; Helder Araújo; Ender Konukoglu; Metin Sitti (Neurocomputing, 2018)

Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots. - Mehmet Turan; Yusuf Yigit Pilavci; Ipek Ganiyusufoglu; Helder Araújo; Ender Konukoglu; Metin Sitti (Mach. Vis. Appl., 2018)

Reconstructing subject-specific effect maps. - Ender Konukoglu; Ben Glocker (NeuroImage, 2018)

as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. - Hui Wang 060; 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; et al. (NeuroImage, 2018)

eCurves: A Temporal Shape Encoding. - Elena Bernardis; Yong Zhang 004; Ender Konukoglu; Yangming Ou; Harold S. Javitz; Leon Axel; Dimitris N. Metaxas; Benoit Desjardins; Kilian M. Pohl (IEEE Trans. Biomed. Eng., 2018)

Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks. - Neerav Karani; Christine Tanner; Sebastian Kozerke; Ender Konukoglu (IEEE Trans. Medical Imaging, 2018)

Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model. - Hector Dejea; Christine Tanner; Radhakrishna Achanta; Marco Stampanoni; Fernando Pérez-Cruz; Ender Konukoglu; Anne Bonnin (FIMH, 2019)

Semi-supervised and Task-Driven Data Augmentation. - Krishna Chaitanya; Neerav Karani; Christian F. Baumgartner; Anton S. Becker; Olivio Donati; Ender Konukoglu (IPMI, 2019)

PHiSeg: Capturing Uncertainty in Medical Image Segmentation. - Christian F. Baumgartner; Kerem Can Tezcan; Krishna Chaitanya; Andreas M. Hötker; Urs J. Muehlematter; Khoschy Schawkat; Anton S. Becker; Olivio Donati; Ender Konukoglu (MICCAI (2), 2019)

A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. - Robin Brügger; Christian F. Baumgartner; Ender Konukoglu (MICCAI (3), 2019)

Unsupervised Lesion Detection with Locally Gaussian Approximation. - Xiaoran Chen; Nick Pawlowski; Ben Glocker; Ender Konukoglu (MLMI@MICCAI, 2019)

Adversarial Augmentation for Enhancing Classification of Mammography Images. - Lukás Jendele; Ondrej Skopek; Anton S. Becker; Ender Konukoglu (CoRR, 2019)

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. - M. Jorge Cardoso; Aasa Feragen; Ben Glocker; Ender Konukoglu; Ipek Oguz; Gozde B. Unal; Tom Vercauteren (CoRR, 2019)

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. - Ben Glocker; Robert Robinson; Daniel Coelho de Castro; Qi Dou 001; Ender Konukoglu (CoRR, 2019)

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. - Daniel Coelho de Castro; Jeremy Tan; Bernhard Kainz; Ender Konukoglu; Ben Glocker (J. Mach. Learn. Res., 2019)

An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. - Neerav Karani; Lin Zhang 031; Christine Tanner; Ender Konukoglu (Medical Image Anal., 2019)

MR Image Reconstruction Using Deep Density Priors. - Kerem Can Tezcan; Christian F. Baumgartner; Roger Luechinger; Klaas P. Pruessmann; Ender Konukoglu (IEEE Trans. Medical Imaging, 2019)

Decomposing Image Generation into Layout Prediction and Conditional Synthesis. - Anna Volokitin; Ender Konukoglu; Luc Van Gool (CVPR Workshops, 2020)

Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging. - Mélanie Gaillochet; Kerem Can Tezcan; Ender Konukoglu (MICCAI (2), 2020)

RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. - Marc Gantenbein; Ertunc Erdil; Ender Konukoglu (UNSURE/GRAIL@MICCAI, 2020)

Probabilistic 3D Surface Reconstruction from Sparse MRI Information. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Andrew P. King; Marc Pollefeys; Ender Konukoglu (MICCAI (1), 2020)

Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. - Anna Volokitin; Ertunc Erdil; Neerav Karani; Kerem Can Tezcan; Xiaoran Chen; Luc Van Gool; Ender Konukoglu (MICCAI (7), 2020)

Contrastive learning of global and local features for medical image segmentation with limited annotations. - Krishna Chaitanya; Ertunc Erdil; Neerav Karani; Ender Konukoglu (NeurIPS, 2020)

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. - Esther Puyol-Antón; Bram Ruijsink; Christian F. Baumgartner; Matthew Sinclair; Ender Konukoglu; Reza Razavi; Andrew P. King (CoRR, 2020)

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. - Neerav Karani; Krishna Chaitanya; Ender Konukoglu (CoRR, 2020)

Unsupervised out-of-distribution detection using kernel density estimation. - Ertunc Erdil; Krishna Chaitanya; Ender Konukoglu (CoRR, 2020)

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. - Krishna Chaitanya; Neerav Karani; Christian F. Baumgartner; Anton S. Becker; Olivio Donati; Ender Konukoglu (CoRR, 2020)

Sampling possible reconstructions of undersampled acquisitions in MR imaging. - Kerem Can Tezcan; Christian F. Baumgartner; Ender Konukoglu (CoRR, 2020)

Unsupervised lesion detection via image restoration with a normative prior. - Xiaoran Chen; Suhang You; Kerem Can Tezcan; Ender Konukoglu (Medical Image Anal., 2020)

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. - Maria Gabrani; Ender Konukoglu; David Beymer; Gustavo Carneiro 001; Jannis Born; Michal Guindy; Michal Rosen-Zvi (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation. - Wenguan Wang; Tianfei Zhou; Fisher Yu 001; Jifeng Dai; Ender Konukoglu; Luc Van Gool (ICCV, 2021)

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. - Ertunc Erdil; Krishna Chaitanya; Neerav Karani; Ender Konukoglu (UNSURE/PIPPI@MICCAI, 2021)

Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. - Alexis Perakis; Ali Gorji; Samriddhi Jain; Krishna Chaitanya; Simone Rizza; Ender Konukoglu (MLMI@MICCAI, 2021)

High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI. - Federico Turella; Gustav Bredell; Alexander Okupnik; Sebastiano Caprara; Dimitri Graf; Reto Sutter; Ender Konukoglu (MICCAI (1), 2021)

Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. - Tianfei Zhou; Liulei Li; Gustav Bredell; Jianwu Li; Ender Konukoglu (MICCAI (2), 2021)

The OOD Blind Spot of Unsupervised Anomaly Detection. - Matthäus Heer; Janis Postels; Xiaoran Chen; Ender Konukoglu; Shadi Albarqouni (MIDL, 2021)

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes. - Sara Sangalli; Ertunc Erdil; Andreas M. Hötker; Olivio Donati; Ender Konukoglu (NeurIPS, 2021)

Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. - Ke Li 021; Dengxin Dai; Ender Konukoglu; Luc Van Gool (CoRR, 2021)

Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. - Sara Sangalli; Ertunc Erdil; Andreas M. Hötker; Olivio Donati; Ender Konukoglu (CoRR, 2021)

Gradient flow encoding with distance optimization adaptive step size. - Kyriakos Flouris; Anna Volokitin; Gustav Bredell; Ender Konukoglu (CoRR, 2021)

Semi-supervised task-driven data augmentation for medical image segmentation. - Krishna Chaitanya; Neerav Karani; Christian F. Baumgartner; Ertunc Erdil; Anton S. Becker; Olivio Donati; Ender Konukoglu (Medical Image Anal., 2021)

Normative ascent with local gaussians for unsupervised lesion detection. - Xiaoran Chen; Nick Pawlowski; Ben Glocker; Ender Konukoglu (Medical Image Anal., 2021)

Test-time adaptable neural networks for robust medical image segmentation. - Neerav Karani; Ertunc Erdil; Krishna Chaitanya; Ender Konukoglu (Medical Image Anal., 2021)

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. - Metin Ersin Arican; Ozgur Kara; Gustav Bredell; Ender Konukoglu (CVPR, 2022)

Rethinking Semantic Segmentation: A Prototype View. - Tianfei Zhou; Wenguan Wang; Ender Konukoglu; Luc Van Gool (CVPR, 2022)

Zero Pixel Directional Boundary by Vector Transform. - Edoardo Mello Rella; Ajad Chhatkuli; Yun Liu 011; Ender Konukoglu; Luc Van Gool (ICLR, 2022)

Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer. - Agustina La Greca Saint-Esteven; Chiara Marchiori; Marta Bogowicz; Javier Barranco Garcia; Zahra Khodabakhshi; Ender Konukoglu; Oliver Riesterer; Panagiotis Balermpas; Martin Hüllner; A. Cristiano I. Malossi; Matthias Guckenberger; Janita E. van Timmeren; et al. (MICAD, 2022)

Quantification of Predictive Uncertainty via Inference-Time Sampling. - Katarína Tóthová; Lubor Ladicky; Daniel Thul; Marc Pollefeys; Ender Konukoglu (UNSURE@MICCAI, 2022)

A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. - Agustina La Greca Saint-Esteven; Marta Bogowicz; Ender Konukoglu; Oliver Riesterer; Panagiotis Balermpas; Matthias Guckenberger; Stephanie Tanadini-Lang; Janita E. van Timmeren (Comput. Biol. Medicine, 2022)

A Field of Experts Prior for Adapting Neural Networks at Test Time. - Neerav Karani; Georg Brunner; Ertunc Erdil; Simin Fei; Kerem Can Tezcan; Krishna Chaitanya; Ender Konukoglu (CoRR, 2022)

Neural Vector Fields for Surface Representation and Inference. - Edoardo Mello Rella; Ajad Chhatkuli; Ender Konukoglu; Luc Van Gool (CoRR, 2022)

Unsupervised Superpixel Generation using Edge-Sparse Embedding. - Jakob Geusen; Gustav Bredell; Tianfei Zhou; Ender Konukoglu (CoRR, 2022)

Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior. - Kerem Can Tezcan; Neerav Karani; Christian F. Baumgartner; Ender Konukoglu (IEEE Trans. Medical Imaging, 2022)

Outlier Detection in ECG. - Omar Atamny; Ardan M. Saguner; Roger Abächerli; Ender Konukoglu (CinC, 2023)

Explicitly Minimizing the Blur Error of Variational Autoencoders. - Gustav Bredell; Kyriakos Flouris; Krishna Chaitanya; Ertunc Erdil; Ender Konukoglu (ICLR, 2023)

FedFA: Federated Feature Augmentation. - Tianfei Zhou; Ender Konukoglu (ICLR, 2023)

Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding. - Gary Sarwin; Alessandro Carretta; Victor E. Staartjes; Matteo Zoli; Diego Mazzatenta; Luca Regli; Carlo Serra; Ender Konukoglu (IPMI, 2023)

MultiVT: Multiple-Task Framework for Dentistry. - Edoardo Mello Rella; Ajad Chhatkuli; Ender Konukoglu; Luc Van Gool (DART@MICCAI, 2023)

Canonical normalizing flows for manifold learning. - Kyriakos Flouris; Ender Konukoglu (NeurIPS, 2023)

Expert load matters: operating networks at high accuracy and low manual effort. - Sara Sangalli; Ertunc Erdil; Ender Konukoglu (NeurIPS, 2023)

Wiener Guided DIP for Unsupervised Blind Image Deconvolution. - Gustav Bredell; Ertunc Erdil; Bruno Weber; Ender Konukoglu (WACV, 2023)

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. - Jiahua Dong 001; Yang Cong; Gan Sun; Lixu Wang; Lingjuan Lyu; Jun Li 027; Ender Konukoglu (CoRR, 2023)

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. - Krishna Chaitanya; Ertunc Erdil; Neerav Karani; Ender Konukoglu (Medical Image Anal., 2023)

Volumetric memory network for interactive medical image segmentation. - Tianfei Zhou; Liulei Li; Gustav Bredell; Jianwu Li; Jan Unkelbach; Ender Konukoglu (Medical Image Anal., 2023)

InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. - Jiahua Dong 001; Yang Cong; Gan Sun; Lixu Wang; Lingjuan Lyu; Jun Li 027; Ender Konukoglu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation? - Kerem Cekmeceli; Meva Himmetoglu; Guney I. Tombak; Anna Susmelj; Ertunc Erdil; Ender Konukoglu (ECCV Workshops (18), 2024)

Comparing Stability and Discriminatory Power of Hand-Crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study. - Oscar Alfonso Jiménez del Toro; Christoph Aberle; Roger Schaer; Michael Bach; Kyriakos Flouris; Ender Konukoglu; Bram Stieltjes; Markus M. Obmann; André Anjos; Henning Müller; Adrien Depeursinge (EUVIP, 2024)

Video Foundation Model for Medical 3D Segmentation. - Qi Ma; Guolei Sun; Guney I. Tombak; Shipra Jain; Niko Benjamin Huber; Luc Van Gool; Ender Konukoglu (ToothFairy/3DTeethLand/STS@MICCAI, 2024)

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction. - Gary Sarwin; Alessandro Carretta; Victor E. Staartjes; Matteo Zoli; Diego Mazzatenta; Luca Regli; Carlo Serra; Ender Konukoglu (MICCAI (6), 2024)

Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI. - Yanke Wang; Yolanne Yi Ran Lee; Aurelio Dolfini; Markus Reischl; Ender Konukoglu; Kyriakos Flouris (DGM4MICCAI@MICCAI, 2024)

Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. - Qi Ma; Danda Pani Paudel; Ender Konukoglu; Luc Van Gool (NeurIPS, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - 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; et al. (CoRR, 2024)

ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining. - Qi Ma; Yue Li 036; Bin Ren; Nicu Sebe; Ender Konukoglu; Theo Gevers; Luc Van Gool; Danda Pani Paudel (CoRR, 2024)

Image Segmentation in Foundation Model Era: A Survey. - Tianfei Zhou; Fei Zhang 016; Boyu Chang; Wenguan Wang; Ye Yuan 001; Ender Konukoglu; Daniel Cremers (CoRR, 2024)

When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation. - Yuli Zhou; Guolei Sun; Yawei Li 001; Luca Benini; Ender Konukoglu (CoRR, 2024)

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients. - Maria Monzon; Thomas Iff; Ender Konukoglu; Catherine R. Jutzeler (CoRR, 2024)

Explicit and data-Efficient Encoding via Gradient Flow. - Kyriakos Flouris; Anna Volokitin; Gustav Bredell; Ender Konukoglu (CoRR, 2024)

Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. - Shadi Albarqouni; Christian F. Baumgartner; Qi Dou 001; Ender Konukoglu; Bjoern H. Menze; Archana Venkataraman (Medical Image Anal., 2024)

Federated Feature Augmentation and Alignment. - Tianfei Zhou; Ye Yuan 001; Binglu Wang; Ender Konukoglu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Large-Scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining. - Qi Ma; Yue Li 036; Bin Ren; Nicu Sebe; Ender Konukoglu; Theo Gevers; Luc Van Gool; Danda Pani Paudel (3DV, 2025)

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model. - Zhaochong An; Guolei Sun; Yun Liu 011; Runjia Li; Junlin Han; Ender Konukoglu; Serge J. Belongie (CVPR, 2025)

Exploiting Temporal State Space Sharing for Video Semantic Segmentation. - Syed Ariff Syed Hesham; Yun Liu 011; Guolei Sun; Henghui Ding; Jing Yang; Ender Konukoglu; Xue Geng; Xudong Jiang 001 (CVPR, 2025)

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. - Zhaochong An; Guolei Sun; Yun Liu 011; Runjia Li; Min Wu 008; Ming-Ming Cheng; Ender Konukoglu; Serge J. Belongie (ICLR, 2025)

Uncertainty modeling for fine-tuned implicit functions. - Anna Susmelj; Mael Macuglia; Natasa Tagasovska; Reto Sutter; Sebastiano Caprara; Jean-Philippe Thiran; Ender Konukoglu (ICLR, 2025)

Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms. - Boqi Chen; Yuanzhi Zhu; Yunke Ao; Sebastiano Caprara; Reto Sutter; Gunnar Rätsch; Ender Konukoglu; Anna Susmelj (WACV, 2025)

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI. - Meva Himmetoglu; Ilja Ciernik; Ender Konukoglu (Medical Image Anal., 2025)

When SAM2 meets video camouflaged object segmentation: a comprehensive evaluation and adaptation. - Yuli Zhou; Guolei Sun; Yawei Li 001; Guo-Sen Xie; Luca Benini; Ender Konukoglu (Vis. Intell., 2025)

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation. - Qi Ma; Runyi Yang; Bin Ren; Nicu Sebe; Ender Konukoglu; Luc Van Gool; Danda Pani Paudel (CoRR, 2025)

Anatomy Might Be All You Need: Forecasting What to Do During Surgery. - Gary Sarwin; Alessandro Carretta; Victor E. Staartjes; Matteo Zoli; Diego Mazzatenta; Luca Regli; Carlo Serra; Ender Konukoglu (CoRR, 2025)

Tera-MIND: Tera-scale mouse brain simulation via spatial mRNA-guided diffusion. - Jiqing Wu; Ingrid Berg; Yawei Li 001; Ender Konukoglu; Viktor H. Koelzer (CoRR, 2025)

Conformal forecasting for surgical instrument trajectory. - Sara Sangalli; Gary Sarwin; Ertunc Erdil; Alessandro Carretta; Victor E. Staartjes; Carlo Serra; Ender Konukoglu (CoRR, 2025)

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining. - Yue Li 036; Qi Ma; Runyi Yang; Huapeng Li; Mengjiao Ma; Bin Ren; Nikola Popovic 001; Nicu Sebe; Ender Konukoglu; Theo Gevers; Luc Van Gool; Martin R. Oswald; et al. (CoRR, 2025)

CamSAM2: Segment Anything Accurately in Camouflaged Videos. - Yuli Zhou; Guolei Sun; Yawei Li 001; Yuqian Fu; Luca Benini; Ender Konukoglu (CoRR, 2025)

Neural Vector Fields for Implicit Surface Representation and Inference. - Edoardo Mello Rella; Ajad Chhatkuli; Ender Konukoglu; Luc Van Gool (Int. J. Comput. Vis., 2025)

A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization. - Mohammadreza Amirian; Michael Bach; Oscar Alfonso Jiménez del Toro; Christoph Aberle; Roger Schaer; Vincent Andrearczyk; Jean-Félix Maestrati; María Martin Asiain; Kyriakos Flouris; Markus M. Obmann; Clarisse Dromain; Benoît Dufour; et al. (CoRR, 2025)

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI. - Kyriakos Flouris; Moritz Halter; Yolanne Yi Ran Lee; Samuel Castonguay; Luuk Jacobs; Pietro Dirix; Jonathan Nestmann; Sebastian Kozerke; Ender Konukoglu (CoRR, 2025)