Özgün ÇİÇEK
Özgün ÇİÇEK
Department of Computer Science, University of Freiburg, Freiburg, Germany
Verified email at cs.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
3D U-Net: learning dense volumetric segmentation from sparse annotation
Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger
International conference on medical image computing and computer-assisted …, 2016
32852016
U-Net: deep learning for cell counting, detection, and morphometry
T Falk, D Mai, R Bensch, Ö Cicek, A Abdulkadir, Y Marrakchi, A Böhm, ...
Nature Methods, 2018
6492018
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation
MJC Jordão, R Sankowski, SM Brendecke, Sagar, G Locatelli, YH Tai, ...
Science 363 (6425), 2019
2922019
Uncertainty estimates and multi-hypotheses networks for optical flow
E Ilg, O Cicek, S Galesso, A Klein, O Makansi, F Hutter, T Brox
Proceedings of the European Conference on Computer Vision (ECCV), 652-667, 2018
113*2018
Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction
O Makansi, E Ilg, O Cicek, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
832019
Bo hm A
T Falk, D Mai, R Bensch, O Ciçek, A Abdulkadir, Y Marrakchi
Deubner J, Jäckel Z, Seiwald K, Dovzhenko A, Tietz O, Dal Bosco C, Walsh S …, 2019
142019
Multimodal future localization and emergence prediction for objects in egocentric view with a reachability prior
O Makansi, O Cicek, K Buchicchio, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
132020
Parting with Illusions about Deep Active Learning
S Mittal, M Tatarchenko, Ö Cicek, T Brox
arXiv Preprint, https://arxiv.org/abs/1912.05361, 2019
92019
Learning Representations for Predicting Future Activities
M Zolfaghari, Ö Çiçek, SM Ali, F Mahdisoltani, C Zhang, T Brox
arXiv Preprint, https://arxiv.org/abs/1905.03578, 2019
52019
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
Ö Çiçek, Y Marrakchi, EB Antwi, B Di Ventura, T Brox
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
32020
Requirements for mammalian promoters to decode transcription factor dynamics
EB Antwi, Y Marrakchi, Ö Çiçek, T Brox, B Di Ventura
2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
O Makansi, Ö Cicek, Y Marrakchi, T Brox
arXiv preprint arXiv:2103.12474, 2021
2021
Requirements for mammalian promoters to decode transcription factor dynamics
B Di Ventura, EB Antwi, Y Marrakchi, O Cicek, T Brox
bioRxiv, 2021
2021
Uncertainty Estimation and Its Applications in Computer Vision
Ö Çiçek
https://freidok.uni-freiburg.de/data/194779, 2021
2021
Efficient Computation and Representation of the Diffusion Echo
O Ciçek
Saarland University, 2014
2014
Supplementary Material for: On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
O Makansi, O Ciçek, Y Marrakchi, T Brox
The system can't perform the operation now. Try again later.
Articles 1–16