Obtaining better quality final clustering by merging a collection of clusterings. - Selim Mimaroglu; Ertunc Erdil (Bioinform., 2010)

ASOD: Arbitrary shape object detection. - Selim Mimaroglu; Ertunc Erdil (Eng. Appl. Artif. Intell., 2011)

Combining multiple clusterings using similarity graph. - Selim Mimaroglu; Ertunc Erdil (Pattern Recognit., 2011)

A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation. - Ertunc Erdil; A. Murat Yagci; Ali Ozgur Argunsah; Y. Ramiro-Cortes; Anna Felicity Hobbiss; Inbal Israely; Devrim Ünay (IPTA, 2012)

A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin (SIU, 2013)

Biomedical image time series registration with particle filtering. - A. Murat Yagci; Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin; Lale Akarun; Fikret Gürgen (SIU, 2013)

An efficient and scalable family of algorithms for combining clusterings. - Selim Mimaroglu; Ertunc Erdil (Eng. Appl. Artif. Intell., 2013)

Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features. - Lavdie Rada; Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin (ICIP, 2014)

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (ISBI, 2015)

Automated dendritic spine tracking on 2-photon microscopic images. - Bike Kilic; Lavdie Rada; Ertunc Erdil; Ali Ozgur Argunsah; Müjdat Çetin; Devrim Ünay (SIU, 2015)

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Müjdat Çetin; Tolga Tasdizen (CVPR, 2016)

Dendritic Spine Shape Analysis: A Clustering Perspective. - Muhammad Usman Ghani 002; Ertunç Erdil; Sümeyra Demir Kanik; Ali Özgür Argunsah; Anna Felicity Hobbiss; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ECCV Workshops (1), 2016)

Nonparametric joint shape and feature priors for segmentation of dendritic spines. - Ertunc Erdil; Lavdie Rada; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

Disjunctive Normal Shape Boltzmann Machine. - Ertunc Erdil; Fitsum Mesadi; Tolga Tasdizen; Müjdat Çetin (ICASSP, 2017)

Coupled shape priors for dynamic segmentation of dendritic spines. - Naeimeh Atabakilachini; Ertunc Erdil; Ali Ozgur Argunsah; Lavdie Rada; Devrim Ünay; Müjdat Çetin (SIU, 2017)

3B dendritic spine segmentation using nonparametric shape priors. - Erdem Bocugoz; Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin (SIU, 2017)

A Markov Chain Monte Carlo based rigid image registration method. - Navdar Karabulut; Ertunc Erdil; Müjdat Çetin (SIU, 2017)

On comparison of different classification techniques for the fine-grained retail product recognition problem. - Osman Berk Satir; Ipek Baz; Ertunc Erdil; Müjdat Çetin (SIU, 2017)

Nonparametric Joint Shape and Feature Priors for Image Segmentation. - Ertunc Erdil; Muhammad Usman Ghani 002; Lavdie Rada; Ali Ozgur Argunsah; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2017)

Bayesian methods for segmentation of objects from multimodal and complex shape densities using statistical shape priors (Çok doruklu ve karmaşık şekil dağılımlarından gelen nesnelerin istatistiksel şekil ön bilgisi kullanarak bölütlenmesi için Bayesçi yaklaşımlar) - Ertunç Erdil (2017)

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (CoRR, 2018)

Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models. - Fitsum Mesadi; Ertunc Erdil; Müjdat Çetin; Tolga Tasdizen (IEEE Trans. Medical Imaging, 2018)

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (ISBI, 2019)

Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (CoRR, 2019)

Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2019)

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

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

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

Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. - Sara Sangalli; Ertunc Erdil; Andreas M. Hötker; Olivio Donati; 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)

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

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)

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

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)

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)

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