Ertunc Erdil

Orcid: 0000-0001-6235-4574

According to our database1, Ertunc Erdil authored at least 39 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Medical Image Anal., 2023

Wiener Guided DIP for Unsupervised Blind Image Deconvolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Expert load matters: operating networks at high accuracy and low manual effort.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explicitly Minimizing the Blur Error of Variational Autoencoders.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Field of Experts Prior for Adapting Neural Networks at Test Time.
CoRR, 2022

2021
Test-time adaptable neural networks for robust medical image segmentation.
Medical Image Anal., 2021

Semi-supervised task-driven data augmentation for medical image segmentation.
Medical Image Anal., 2021

Constrained Optimization for Training Deep Neural Networks Under Class Imbalance.
CoRR, 2021

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
Unsupervised out-of-distribution detection using kernel density estimation.
CoRR, 2020

Contrastive learning of global and local features for medical image segmentation with limited annotations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors.
IEEE Trans. Image Process., 2019

Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images.
CoRR, 2019

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models.
IEEE Trans. Medical Imaging, 2018

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors.
CoRR, 2018

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)
PhD thesis, 2017

Nonparametric Joint Shape and Feature Priors for Image Segmentation.
IEEE Trans. Image Process., 2017

On comparison of different classification techniques for the fine-grained retail product recognition problem.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

A Markov Chain Monte Carlo based rigid image registration method.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

3B dendritic spine segmentation using nonparametric shape priors.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Coupled shape priors for dynamic segmentation of dendritic spines.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Disjunctive Normal Shape Boltzmann Machine.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Nonparametric joint shape and feature priors for segmentation of dendritic spines.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Dendritic Spine Shape Analysis: A Clustering Perspective.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Automated dendritic spine tracking on 2-photon microscopic images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
An efficient and scalable family of algorithms for combining clusterings.
Eng. Appl. Artif. Intell., 2013

Biomedical image time series registration with particle filtering.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

2011
Combining multiple clusterings using similarity graph.
Pattern Recognit., 2011

ASOD: Arbitrary shape object detection.
Eng. Appl. Artif. Intell., 2011

2010
Obtaining better quality final clustering by merging a collection of clusterings.
Bioinform., 2010


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