| Iterative interaction training for segmentation editing networks G Bredell, C Tanner, E Konukoglu International workshop on machine learning in medical imaging, 363-370, 2018 | 18 | 2018 |
| Quality-aware memory network for interactive volumetric image segmentation T Zhou, L Li, G Bredell, J Li, E Konukoglu International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 3 | 2021 |
| Direct vascular contact is a hallmark of cerebral astrocytes L Hösli, M Zuend, G Bredell, HS Zanker, CEP de Oliveira, AS Saab, ... Cell Reports 39 (1), 110599, 2022 | 1 | 2022 |
| High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI F Turella, G Bredell, A Okupnik, S Caprara, D Graf, R Sutter, E Konukoglu International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 1 | 2021 |
| ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior ME Arican, O Kara, G Bredell, E Konukoglu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | | 2022 |
| Wiener Guided DIP for Unsupervised Blind Image Deconvolution G Bredell, E Erdil, B Weber, E Konukoglu arXiv preprint arXiv:2112.10271, 2021 | | 2021 |
| ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior M Ersin Arican, O Kara, G Bredell, E Konukoglu arXiv, 2111.15362, 2021 | | 2021 |
| Gradient flow encoding with distance optimization adaptive step size K Flouris, A Volokitin, G Bredell, E Konukoglu arXiv preprint arXiv:2105.05031, 2021 | | 2021 |
| Supplementary Material ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior ME Arican, O Kara, G Bredell, E Konukoglu | | |
