Özgün Çiçek

Robert Bosch (Germany) — Germany

Computer Science · Physical Sciences

11h-index11.3kcitations24works1.82yr avg
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Research Topics

Advanced Neural Network Applications(4), Advanced Vision and Imaging(4), Anomaly Detection Techniques and Applications(4), Cell Image Analysis Techniques(4), Medical Image Segmentation Techniques(3)

Publications24 total

The Filter Echo: A General Tool for Filter Visualisation
arXiv (Cornell University)·2025Open Access
Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation
International Journal of Computer Vision·2025· 7 citedOpen Access
Efficient Representations of the Diffusion Echo
Lecture notes in computer science·2025
Author Correction: Microridge-like structures anchor motile cilia
Nature Communications·2024Open Access
Requirements for mammalian promoters to decode transcription factor dynamics
Nucleic Acids Research·2023· 4 citedOpen Access
Microridge-like structures anchor motile cilia
Nature Communications·2022· 26 citedOpen Access
Search for temporal cell segmentation robustness in phase-contrast microscopy videos
arXiv (Cornell University)·2021Open Access
Deep learning is widely applicable to phenotyping embryonic development and disease
Development·2021· 38 citedOpen Access
Requirements for mammalian promoters to decode transcription factor dynamics
2021Open Access
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 42 cited
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
arXiv (Cornell University)·2021Open Access
Multimodal Future Localization and Emergence Prediction for Objects in\n Egocentric View with a Reachability Prior
arXiv (Cornell University)·2020Open Access
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior
2020· 1 citedOpen Access
Parting with Illusions about Deep Active Learning
arXiv (Cornell University)·2019· 28 citedOpen Access
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
2019· 189 citedOpen Access
Learning Representations for Predicting Future Activities
arXiv (Cornell University)·2019· 7 citedOpen Access
Author Correction: U-Net: deep learning for cell counting, detection, and morphometry
Nature Methods·2019· 41 citedOpen Access
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation
Science·2019· 797 cited
U-Net: deep learning for cell counting, detection, and morphometry
Nature Methods·2018· 2.0k cited
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
arXiv (Cornell University)·2018· 10 citedOpen Access
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Frequent Co-authors

Thomas Brox(20), Osama Makansi(8), Olaf Ronneberger(7), Yassine Marrakchi(6), Ahmed Abdulkadir(4), Eddy Ilg(4), Soeren S. Lienkamp(3), Thorsten Falk(3), Dominic Mai(3), Tuan Leng Tay(3), Marco Prinz(3), Silvio Galesso(3), Aaron Klein(3), Frank Hutter(3), Robert Bensch(2), Anton Böhm(2), Jan Deubner(2), Zoë Jäckel(2), Katharina Seiwald(2), Alexander Dovzhenko(2)