Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Autor: Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-2 (2019)

In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.

Externí odkaz: https://doaj.org/article/dd90ed1e22204ea3b8b7061d00f522a2

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms

Autor: Maximilian Diebold, Marcel Gutsche, Anna Alperovich, Ole Johannsen, Shuo Zhang, Jaesik Park, Marco Carli, Michele Brizzi, Hae-Gon Jeon, Yu-Wing Tai, Sven Wanner, Bastian Goldluecke, Jinsun Park, Yunsu Bok, Zhang Xiong, Hao Sheng, Jingyi Yu, Qing Wang, Lipeng Si, Katrin Honauer, In So Kweon, Antonin Sulc, Gyeongmin Choe, Michael Strecke, Hendrik Schilling, Hao Zhu, Federica Battisti, Ting-Chun Wang

Publikováno v: CVPR Workshops

This paper presents the results of the depth estimation challenge for dense light fields, which took place at the second workshop on Light Fields for Computer Vision (LF4CV) in conjunction with CVPR 2017. The challenge consisted of submission to a re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ffa868510b01306b9d4840d36d0d24d
http://hdl.handle.net/11577/3363391

Why rankings of biomedical image analysis competitions should be interpreted with care

Autor: Oskar Maier, Carolin Feldmann, Wiro J. Niessen, Bennett A. Landman, Michal Kozubek, Peter M. Full, Christian Stock, Patrick Scholz, Hrvoje Bogunovic, Katrin Honauer, Keno März, Marko Stankovic, Korsuk Sirinukunwattana, Ching-Wei Wang, Henning Müller, Nasir M. Rajpoot, Aaron Carass, Sinan Onogur, Alejandro F. Frangi, Stefanie Speidel, Peter Neher, Bram van Ginneken, Matthias Eisenmann, Pierre Jannin, Bjoern H. Menze, Allan Hanbury, Lena Maier-Hein, Annika Reinke, Guoyan Zheng, Gregory C. Sharp, Danail Stoyanov, Marc-André Weber, Andrew P. Bradley, Abdel Aziz Taha, Tal Arbel, Fons van der Sommen, Klaus H. Maier-Hein, Annette Kopp-Schneider

Publikováno v: Nature Communications
Nature Communications, 2018, 9 (1), pp.5217. ⟨10.1038/s41467-018-07619-7⟩
Nature Communications, Nature Publishing Group, 2018, 9 (1), pp.5217. ⟨10.1038/s41467-018-07619-7⟩
Nature Communications, 9
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Nature Communications, 9:5217. Nature Publishing Group
Nature Communications, 9(1):5217. Nature Publishing Group

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::081fe9896f11b112e019a883fdc3920b
https://hal.science/hal-01958848

A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields

Autor: Katrin Honauer, Ole Johannsen, Daniel Kondermann, Bastian Goldluecke

Publikováno v: Computer Vision – ACCV 2016 ISBN: 9783319541860
ACCV (3)

In computer vision communities such as stereo, optical flow, or visual tracking, commonly accepted and widely used benchmarks have enabled objective comparison and boosted scientific progress.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5bbb70a4d233d0c9835318a79369bb03
https://doi.org/10.1007/978-3-319-54187-7_2

Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets

Autor: Daniel Kondermann, Burkhard Gussefeld, Katrin Honauer

Publikováno v: Advances in Visual Computing ISBN: 9783319508344
ISVC (1)

Optical flow ground truth generated by computer graphics has many advantages. For example, we can systematically vary scene parameters to understand algorithm sensitivities. But is synthetic ground truth realistic enough? Appropriate material models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::297aa8508632673c350903c368d6ab73
https://doi.org/10.1007/978-3-319-50835-1_8