Çiçek's with Publications

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

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Paper

Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2021

Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins Paper

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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 Paper

Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR): 4354-4363, 2020

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 Paper

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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