| Contrastive learning of global and local features for medical image segmentation with limited annotations K Chaitanya, E Erdil, N Karani, E Konukoglu Advances in neural information processing systems 33, 12546-12558, 2020 | 567 | 2020 |
| Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation N Karani, E Erdil, K Chaitanya, E Konukoglu Medical Image Analysis, 101907, 2020 | 179 | 2020 |
| Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K Chaitanya, E Erdil, N Karani, E Konukoglu Medical image analysis 87, 102792, 2023 | 127 | 2023 |
| 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 | 124 | 2020 |
| Combining multiple clusterings using similarity graph S Mimaroglu, E Erdil Pattern Recognition 44 (3), 694-703, 2011 | 109 | 2011 |
| 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 39 | 2020 |
| Constrained optimization to train neural networks on critical and under-represented classes S Sangalli, E Erdil, A Hötker, O Donati, E Konukoglu Advances in neural information processing systems 34, 25400-25411, 2021 | 33* | 2021 |
| 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 | 25 | 2017 |
| 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 | 22 | 2016 |
| An efficient and scalable family of algorithms for combining clusterings S Mimaroglu, E Erdil Engineering Applications of Artificial Intelligence 26 (10), 2525-2539, 2013 | 22 | 2013 |
| Explicitly minimizing the blur error of variational autoencoders G Bredell, K Flouris, K Chaitanya, E Erdil, E Konukoglu arXiv preprint arXiv:2304.05939, 2023 | 19 | 2023 |
| Obtaining better quality final clustering by merging a collection of clusterings S Mimaroglu, E Erdil Bioinformatics 26 (20), 2645-2646, 2010 | 18 | 2010 |
| 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 | 17 | 2017 |
| 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 | 15 | 2015 |
| A tool for automatic dendritic spine detection and analysis. part i: Dendritic spine detection using multi-level region-based segmentation E Erdil, AM Yagci, AÖ Argunsah, Y Ramiro-Cortés, AF Hobbiss, I Israely, ... 2012 3rd International Conference on Image Processing Theory, Tools and …, 2012 | 15 | 2012 |
| An interactive time series image analysis software for dendritic spines AÖ Argunşah, E Erdil, MU Ghani, Y Ramiro-Cortés, AF Hobbiss, ... Scientific reports 12 (1), 12405, 2022 | 13 | 2022 |
| 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 | 13 | 2014 |
| ASOD: Arbitrary shape object detection S Mimaroglu, E Erdil Engineering Applications of Artificial Intelligence 24 (7), 1295-1299, 2011 | 12 | 2011 |
| Task-agnostic out-of-distribution detection using kernel density estimation E Erdil, K Chaitanya, N Karani, E Konukoglu arXiv preprint arXiv:2006.10712, 2021 | 11* | 2021 |
| Revphiseg: A memory-efficient neural network for uncertainty quantification in medical image segmentation M Gantenbein, E Erdil, E Konukoglu Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 10 | 2020 |
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