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Gustav Bredell
Gustav Bredell
PhD Student, ETH Zürich
Verified email at vision.ee.ethz.ch
Title
Cited by
Cited by
Year
Iterative interaction training for segmentation editing networks
G Bredell, C Tanner, E Konukoglu
International workshop on machine learning in medical imaging, 363-370, 2018
182018
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
32021
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
12022
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
12021
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
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