Özgün ÇİÇEK

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Thomas BroxUniversity of FreiburgEmail verificata su cs.uni-freiburg.de
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyEmail verificata su cs.uni-freiburg.de
Ahmed AbdulkadirZHAWEmail verificata su zhaw.ch
Soeren LienkampUniverity of Zurich, SwitzerlandEmail verificata su uzh.ch
Yassine MarrakchiUniversity of FreiburgEmail verificata su cs.uni-freiburg.de
Osama MakansiAmazon Development Center, TübingenEmail verificata su amazon.com
Marco PrinzProfessor of Neuropathology, University Hospital FreiburgEmail verificata su uniklinik-freiburg.de
Thorsten Falk (Schmidt)Image Analysis Lab, University of FreiburgEmail verificata su informatik.uni-freiburg.de
Tuan Leng TayBoston UniversityEmail verificata su bu.edu
Robert BenschANavS GmbH, Munich and Department of Computer Science, University of Freiburg, GermanyEmail verificata su cs.uni-freiburg.de
Ilka DiesterUniversity of Freiburg, IMBIT//BrainLinks-BrainToolsEmail verificata su biologie.uni-freiburg.de
Klaus PalmeProfessor, Head of Department, University of FreiburgEmail verificata su screensys.eu
Anton BoehmEmail verificata su informatik.uni-freiburg.de
Deniz SaltukogluPostdoctoral researcherEmail verificata su bioss.uni-freiburg.de
Eddy IlgProfessor at Saarland UniversityEmail verificata su cs.uni-saarland.de
Dominic GrünProfessor of Medical System BiologyEmail verificata su uni-wuerzburg.de
Giuseppe LocatelliNIBR Novartis, BaselEmail verificata su novartis.com
Roman SankowskiInstitute of Neuropathology, Medical Faculty of the University of FreiburgEmail verificata su uniklinik-freiburg.de
Olaf GroßInstitute of Neuropathology, Medical Center – University of FreiburgEmail verificata su uniklinik-freiburg.de
Yi-Heng TaiPostdoctoral Fellow, Klinikum der Universität MünchenEmail verificata su med.uni-muenchen.de

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Özgün ÇİÇEK

Robert Bosch GmbH, Corporate Research

Email verificata su de.bosch.com - Home page

Autonomous Driving Deep Learning Uncertainty Estimation Motion Estimation Segmentation


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
3D U-Net: learning dense volumetric segmentation from sparse annotation Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016	7865	2016
U-Net: deep learning for cell counting, detection, and morphometry T Falk, D Mai, R Bensch, Ö Cicek, A Abdulkadir, Y Marrakchi, A Böhm, ... Nature Methods, 2018	1785	2018
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation MJC Jordão, R Sankowski, SM Brendecke, Sagar, G Locatelli, YH Tai, ... Science 363 (6425), 2019	689	2019
Uncertainty estimates and multi-hypotheses networks for optical flow E Ilg, O Cicek, S Galesso, A Klein, O Makansi, F Hutter, T Brox Proceedings of the European Conference on Computer Vision (ECCV), 652-667, 2018	251	2018
Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction O Makansi, E Ilg, O Cicek, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	208	2019
Parting with Illusions about Deep Active Learning S Mittal, M Tatarchenko, Ö Cicek, T Brox arXiv Preprint, https://arxiv.org/abs/1912.05361, 2019	55	2019
On exposing the challenging long tail in future prediction of traffic actors O Makansi, Ö Cicek, Y Marrakchi, T Brox Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	43	2021
Multimodal future localization and emergence prediction for objects in egocentric view with a reachability prior O Makansi, O Cicek, K Buchicchio, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	41	2020
Deep learning is widely applicable to phenotyping embryonic development and disease T Naert, Ö Çiçek, P Ogar, M Bürgi, NI Shaidani, MM Kaminski, Y Xu, ... Development 148 (21), dev199664, 2021	19	2021
Microridge-like structures anchor motile cilia T Yasunaga, J Wiegel, MD Bergen, M Helmstädter, D Epting, A Paolini, ... Nature Communications 13 (1), 2056, 2022	18	2022
Learning Representations for Predicting Future Activities M Zolfaghari, Ö Çiçek, SM Ali, F Mahdisoltani, C Zhang, T Brox arXiv Preprint, https://arxiv.org/abs/1905.03578, 2019	7	2019
Recovering the imperfect: cell segmentation in the presence of dynamically localized proteins Ö Çiçek, Y Marrakchi, E Boasiako Antwi, B Di Ventura, T Brox Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020	5	2020
Requirements for mammalian promoters to decode transcription factor dynamics EB Antwi, Y Marrakchi, Ö Çiçek, T Brox, B Di Ventura Nucleic Acids Research 51 (9), 4674-4690, 2023	3	2023
Mixture distribution estimation for future prediction T Brox, O Makansi, Ö Cicek, ILG Eddy US Patent 12,014,270, 2024	2	2024
Search for temporal cell segmentation robustness in phase-contrast microscopy videos E Gómez-de-Mariscal, H Jayatilaka, Ö Çiçek, T Brox, D Wirtz, ... arXiv preprint arXiv:2112.08817, 2021	1	2021
Uncertainty Estimation and Its Applications in Computer Vision Ö Çiçek https://freidok.uni-freiburg.de/data/194779, 2021		2021
Efficient Computation and Representation of the Diffusion Echo O Ciçek Saarland University, 2014		2014

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