Ertunc Erdil

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 36

Top Topics

Markov Chain Monte Carlo

Image Segmentation

Top Venues

Medical Image Anal.

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)
Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. WACV (2023)
Sara Sangalli, Ertunc Erdil, Ender Konukoglu
Expert load matters: operating networks at high accuracy and low manual effort. CoRR (2023)
Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Explicitly Minimizing the Blur Error of Variational Autoencoders. 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)
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)
Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. 68 (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)
Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. CoRR (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)
Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI (2021)
Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu
Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. CoRR (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)
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)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Contrastive learning of global and local features for medical image segmentation with limited annotations. NeurIPS (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)
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu
Contrastive learning of global and local features for medical image segmentation with limited annotations. CoRR (2020)
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. IEEE Trans. Image Process. 28 (11) (2019)
Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. CoRR (2019)
Ertunc Erdil, A. OzgurArgunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. ISBI (2019)
Fitsum Mesadi, Ertunc Erdil, Müjdat Çetin, Tolga Tasdizen
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models. IEEE Trans. Medical Imaging 37 (1) (2018)
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. CoRR (2018)
Navdar Karabulut, Ertunc Erdil, Müjdat Çetin
A Markov Chain Monte Carlo based rigid image registration method. SIU (2017)
Erdem Bocugoz, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin
3B dendritic spine segmentation using nonparametric shape priors. SIU (2017)
Naeimeh Atabakilachini, Ertunc Erdil, Ali Ozgur Argunsah, Lavdie Rada, Devrim Ünay, Müjdat Çetin
Coupled shape priors for dynamic segmentation of dendritic spines. SIU (2017)
Ertunc Erdil, Muhammad Usman Ghani, Lavdie Rada, Ali Ozgur Argunsah, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin
Nonparametric Joint Shape and Feature Priors for Image Segmentation. IEEE Trans. Image Process. 26 (11) (2017)
Osman Berk Satir, Ipek Baz, Ertunc Erdil, Müjdat Çetin
On comparison of different classification techniques for the fine-grained retail product recognition problem. SIU (2017)
Ertunc Erdil, Fitsum Mesadi, Tolga Tasdizen, Müjdat Çetin
Disjunctive Normal Shape Boltzmann Machine. ICASSP (2017)
Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CoRR (2016)
Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CVPR (2016)
Muhammad Usman Ghani, Ertunc Erdil, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin
Dendritic Spine Shape Analysis: A Clustering Perspective. CoRR (2016)
Ertunc Erdil, Lavdie Rada, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin
Nonparametric joint shape and feature priors for segmentation of dendritic spines. ISBI (2016)
Bike Kilic, Lavdie Rada, Ertunc Erdil, Ali Ozgur Argunsah, Müjdat Çetin, Devrim Ünay
Automated dendritic spine tracking on 2-photon microscopic images. SIU (2015)
Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin
A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. ISBI (2015)
Lavdie Rada, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin
Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features. ICIP (2014)
A. Murat Yagci, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin, Lale Akarun, Fikret Gürgen
Biomedical image time series registration with particle filtering. SIU (2013)
Selim Mimaroglu, Ertunc Erdil
An efficient and scalable family of algorithms for combining clusterings. Eng. Appl. Artif. Intell. 26 (10) (2013)
Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin
A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images. SIU (2013)
Ertunc Erdil, A. Murat Yagci, Ali Ozgur Argunsah, Y. Ramiro-Cortes, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay
A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation. IPTA (2012)
Selim Mimaroglu, Ertunc Erdil
ASOD: Arbitrary shape object detection. Eng. Appl. Artif. Intell. 24 (7) (2011)
Selim Mimaroglu, Ertunc Erdil
Combining multiple clusterings using similarity graph. Pattern Recognit. 44 (3) (2011)
Selim Mimaroglu, Ertunc Erdil
Obtaining better quality final clustering by merging a collection of clusterings. Bioinform. 26 (20) (2010)