Paper Info
Title
Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing.
Abstract
Many imaging biomarkers (IBs) fail clinical translation. The main reason is not a lack of utility, but translational gaps [1] during validation and qualification. One important problem in this context is the landscape of existing IT systems in the clinical environment. Systems are highly heterogeneous and proprietary, causing significant translational challenges that are often purely infrastructural in nature.
Year
DOI
Venue
2018
10.1007/978-3-662-56537-7_18
Bildverarbeitung für die Medizin
Field
DocType
Citations 
Data science,Information technology,Computer science,Medical image computing,Open source software
Conference
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Jens Petersen113518.12
Sabine Heiland242.81
Martin Bendszus3736.73
Jürgen Debus483.23
Marco Nolden521.74
Caspar J. Goch672.85
Klaus H. Maier-Hein736142.06