3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. - Özgün Çiçek; Ahmed Abdulkadir; Soeren S. Lienkamp; Thomas Brox; Olaf Ronneberger (MICCAI (2), 2016)

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (ECCV (7), 2018)

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (CoRR, 2018)

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. - Osama Makansi; Eddy Ilg; Özgün Çiçek; Thomas Brox (CVPR, 2019)

Learning Representations for Predicting Future Activities. - Mohammadreza Zolfaghari; Özgün Çiçek; Syed Mohsin Ali; Farzaneh Mahdisoltani; Can Zhang; Thomas Brox (CoRR, 2019)

Parting with Illusions about Deep Active Learning. - Sudhanshu Mittal; Maxim Tatarchenko; Özgün Çiçek; Thomas Brox (CoRR, 2019)

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. - Osama Makansi; Özgün Çiçek; Kevin Buchicchio; Thomas Brox (CVPR, 2020)

Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. - Özgün Çiçek; Yassine Marrakchi; Enoch Boasiako Antwi; Barbara Di Ventura; Thomas Brox (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. - Osama Makansi; Özgün Çiçek; Yassine Marrakchi; Thomas Brox (ICCV, 2021)

Search for temporal cell segmentation robustness in phase-contrast microscopy videos. - Estibaliz Gómez-de-Mariscal; Hasini Jayatilaka; Özgün Çiçek; Thomas Brox; Denis Wirtz; Arrate Muñoz-Barrutia (CoRR, 2021)

Uncertainty estimation and its applications in computer vision. - Özgün Çiçek (2021)

Efficient Representations of the Diffusion Echo. - Daniel Gaa; Joachim Weickert; Iva Farag; Özgün Çiçek (SSVM (2), 2025)

Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Özgün Çiçek; Maxim Tatarchenko; Jan Ehrhardt; Jörg P. Schäfer; Heinz Handels; Thomas Brox (Int. J. Comput. Vis., 2025)