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Özgün Çiçek

PhD Student

Computer Vision Group
Chair of Pattern Recognition and Image Processing
Department of Computer Science
Albert-Ludwigs-Universität Freiburg
Germany


Contact:
Georges-Köhler-Allee, building 052, 2nd floor, room: 01-42
79110 Freiburg

Phone: +49 761 203 8273
E-Mail: cicek AT cs.uni-freiburg


Download CV
Personal Teaching Projects Brief Bio Publications
2021
Journal
Deep learning is widely applicable to phenotyping embryonic development and disease   doi>
T. Naert, Ö. Cicek, P. Ogar, M. Buergi, N. Shaidani, M. Kaminski, Y. Xu, K. Grand, M. Vujanovic, D. Prata, F. Hildebrandt, Thomas Brox, Olaf Ronneberger, F. Voigt, F. Helmchen, J. Loffing, M. Horb, H. Willsey, S. Lienkamp
Development, 148(21), 2021

Conference
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors   Paperpaper-future-prediction-iccv.pdf
Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox
IEEE International Conference on Computer Vision (ICCV), 2021
 
2020

Conference
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins   Paperpaper-Recovering_the_Imperfect.pdf doi>
Özgün Çiçek, Yassine Marrakchi, E. Antwi, B. DiVentura, Thomas Brox
MICCAI Workshop on Medical Image Learning with Less Labels and Imperfect Data, Springer, Vol.12446, 2020
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior   Paperpaper-04909.pdf
Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR): 4354-4363, 2020
 
2019
Journal
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation   doi>
M. Jordão, R. Sankowski, S. Brendecke, S. Sagar, G. Locatelli, Y. Tai, T. Tay, E. Schramm, S. Armbruster, N. Hagemeyer, O. Groß, Dominic Mai, Özgün Çiçek, Thorsten Falk, M. Kerschensteiner, D. Grün, M. Prinz
Science, 363(6425): eaat7554, Jan 2019
U-Net – Deep Learning for Cell Counting, Detection, and Morphometry   Paperpaper-U-Net.pdf doi> Project
Thorsten Falk, Dominic Mai, Robert Bensch, Özgün Çiçek, Ahmed Abdulkadir, Yassine Marrakchi, Anton Böhm, J. Deubner, Z. Jäckel, K. Seiwald, A. Dovzhenko, O. Tietz, C. Dal Bosco, S. Walsh, D. Saltukoglu, T. Tay, M. Prinz, K. Palme, M. Simons, I. Diester, Thomas Brox, Olaf Ronneberger
Nature Methods, 16: 67-70, 2019

Conference
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction   Paperpaper-multimodal-future-prediction.pdf
Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Others
Parting with Illusions about Deep Active Learning   Paperpaper-al.pdf
Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
Technical Report 1912.05361, arXiv(1912.05361), 2019
 
2018

Conference
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow   Paperpaper-Uncertainty-FlowNetH.pdf
Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, F. Hutter, Thomas Brox
European Conference on Computer Vision (ECCV), 2018
 
2016

Conference
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation   Papercicek16miccai.pdf doi> Code/data
Özgün Çiçek, Ahmed Abdulkadir, S. Lienkamp, Thomas Brox, Olaf Ronneberger
Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer, LNCS, Vol.9901: 424--432, Oct 2016

Master's Thesis
Efficient Computation and Representation of the Diffusion Echo /people/cicek/mt.pdf
Özgün Çiçek
Saarland University, Saarbrücken, 2014