Ertunc Erdil
Ertunc Erdil
Postdoctoral Researcher, Computer Vision Laboratory, ETH Zurich
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Combining multiple clusterings using similarity graph
S Mimaroglu, E Erdil
Pattern Recognition 44 (3), 694-703, 2011
912011
Contrastive learning of global and local features for medical image segmentation with limited annotations
K Chaitanya, E Erdil, N Karani, E Konukoglu
arXiv preprint arXiv:2006.10511, 2020
672020
Nonparametric joint shape and feature priors for image segmentation
E Erdil, MU Ghani, L Rada, AO Argunsah, D Unay, T Tasdizen, M Cetin
IEEE Transactions on Image Processing 26 (11), 5312-5323, 2017
232017
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
N Karani, E Erdil, K Chaitanya, E Konukoglu
Medical Image Analysis, 101907, 2020
192020
MCMC shape sampling for image segmentation with nonparametric shape priors
E Erdil, S Yildirim, M Cetin, T Tasdizen
Proceedings of the IEEE Conference on Computer Vision and Pattern†…, 2016
182016
An efficient and scalable family of algorithms for combining clusterings
S Mimaroglu, E Erdil
Engineering Applications of Artificial Intelligence 26 (10), 2525-2539, 2013
182013
Obtaining better quality final clustering by merging a collection of clusterings
S Mimaroglu, E Erdil
Bioinformatics 26 (20), 2645-2646, 2010
172010
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
K Chaitanya, N Karani, CF Baumgartner, E Erdil, A Becker, O Donati, ...
arXiv preprint arXiv:2007.05363, 2020
132020
Image segmentation using disjunctive normal bayesian shape and appearance models
F Mesadi, E Erdil, M Cetin, T Tasdizen
IEEE transactions on medical imaging 37 (1), 293-305, 2017
132017
A tool for automatic dendritic spine detection and analysis. part i: Dendritic spine detection using multi-level region-based segmentation
E Erdil, AM Yagci, A÷ Argunsah, Y Ramiro-Cortťs, AF Hobbiss, I Israely, ...
2012 3rd International Conference on Image Processing Theory, Tools and†…, 2012
132012
A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images
E Erdil, AO Argunsah, T Tasdizen, D Unay, M Cetin
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 797-800, 2015
122015
ASOD: Arbitrary shape object detection
S Mimaroglu, E Erdil
Engineering Applications of Artificial Intelligence 24 (7), 1295-1299, 2011
112011
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
A Volokitin, E Erdil, N Karani, KC Tezcan, X Chen, L Van Gool, ...
International Conference on Medical Image Computing and Computer-Assisted†…, 2020
92020
Automatic dendritic spine detection using multiscale dot enhancement filters and sift features
L Rada, E Erdil, AO Argunsah, D Unay, M Cetin
2014 IEEE International Conference on Image Processing (ICIP), 26-30, 2014
92014
Disjunctive normal shape boltzmann machine
E Erdil, F Mesadi, T Tasdizen, M Cetin
2017 IEEE International Conference on Acoustics, Speech and Signal†…, 2017
72017
Dendritic spine shape analysis: a clustering perspective
MU Ghani, E Erdil, SD Kanık, A÷ Argunşah, AF Hobbiss, I Israely, D ‹nay, ...
European Conference on Computer Vision, 256-273, 2016
62016
An efficient parallel implementation of 3D-FFT on GPU
S Keskin, E Erdil, T Kocak
Proc. IEEE High Perform. Extreme Comput. Conf., 1-4, 2017
42017
A Markov chain Monte Carlo based rigid image registration method
N Karabulut, E Erdil, M «etin
2017 25th Signal Processing and Communications Applications Conference (SIU†…, 2017
42017
NONPARAMETRIC JOINT SHAPE AND FEATURE PRIORS FOR SEGMENTATION OF DENDRITIC SPINES
E Erdil, L Rada, AO Argunsah, I Israely, D Unay, T Tasdizen, M Cetin
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 2016
42016
A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images
E Erdil, A÷ Argunşah, D ‹nay, M «etin
2013 21st Signal Processing and Communications Applications Conference (SIU†…, 2013
42013
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Articles 1–20