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

Nov 20, 2020
Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox

* Accepted at MICCAI Workshop on Medical Image Learning with Less Labels and Imperfect Data, 2020 

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Parting with Illusions about Deep Active Learning

Dec 11, 2019
Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox


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Learning Representations for Predicting Future Activities

May 09, 2019
Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali, Farzaneh Mahdisoltani, Can Zhang, Thomas Brox

* 14 pages, ICCV 2019 submission, Code and Models: https://github.com/lmb-freiburg/PreFAct 

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Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow

Aug 06, 2018
Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox

* Accepted to ECCV 2018 as poster. See Video at: https://youtu.be/HvyovWSo8uE 

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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Jun 21, 2016
Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger

* Conditionally accepted for MICCAI 2016 

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