Record link: 
http://hdl.handle.net/20.500.12708/141688
-
Title: 
BIAS: Transparent reporting of biomedical image analysis challenges
en
Citation: 
Maier-Hein, L., Reinke, A., Kozubek, M., Martel, A. L., Arbel, T., Eisenmann, M., Hanbury, A., Jannin, P., Müller, H., Onogur, S., Saez-Rodriguez, J., van Ginneken, B., Kopp-Schneider, A., & Landman, B. A. (2020). BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Analysis, 66(101796), 101796. https://doi.org/10.1016/j.media.2020.101796
-
Publisher DOI: 
10.1016/j.media.2020.101796
-
Publication Type: 
Article - Original Research Article
en
Language: 
English
-
Authors: 
Maier-Hein, Lena 
Reinke, Annika 
Kozubek, Michal 
Martel, Anne L. 
Arbel, Tal 
Eisenmann, Matthias 
Hanbury, Allan 
Jannin, Pierre 
Müller, Henning 
Onogur, Sinan 
Saez-Rodriguez, Julio 
van Ginneken, Bram 
Kopp-Schneider, Annette 
Landman, Bennett A. 
-
Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
-
Journal: 
Medical Image Analysis 
-
ISSN: 
1361-8415
-
Date (published): 
2020
-
Number of Pages: 
7
-
Publisher: 
ELSEVIER
-
Peer reviewed: 
Yes
-
Keywords: 
Computer Graphics and Computer-Aided Design; Radiology, Nuclear Medicine and imaging; Computer Vision and Pattern Recognition; Health Informatics; Radiological and Ultrasound Technology
-
Research Areas: 
Information Systems Engineering: 100%
-
Science Branch: 
Informatik
-
Appears in Collections:
Article

Show full item record

Page view(s)

146
checked on Nov 20, 2023

Google ScholarTM

Check