3525260
doi
10.5281/zenodo.3525260
oai:zenodo.org:3525260
user-grand-challenge
Harm van Zeeland
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Marcel Koek
Department of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, Netherlands
Paul K. Gerke
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Bart de Dobbelaer
Medical Image Computing (PSI), Faculty of Engineering, Katholieke Universiteit Leuven, Leuven, Belgium
Hans Pinckaers
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Carl Shneider
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Haimasree Bhattacharya
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Roel Zinkstok
Netherlands eScience Center, Science Park 140, 1098 XG, Amsterdam, The Netherlands
Ecem Sogancioglu
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Cristina González-Gonzalo
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Hans Meine
Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
Alexander Köhn
Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
Miriam Groeneveld
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Tom Klaver
Netherlands eScience Center, Science Park 140, 1098 XG, Amsterdam, The Netherlands
Karel Gerbrands
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Darío Hereñú
Sjoerd Kerkstra
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Bram van Ginneken
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
Grand Challenge.org
James Meakin
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
url:https://github.com/comic/grand-challenge.org/tree/v2019.11
info:eu-repo/semantics/openAccess
Apache License 2.0
http://www.apache.org/licenses/LICENSE-2.0
<p>A framework to objectively evaluate the performance of machine learning algorithms in biomedical imaging</p>
Zenodo
2019-11-01
info:eu-repo/semantics/other
3356819
user-grand-challenge
v2019.11
1694513629.024078
1923440
md5:2a600c77caa23194bff7edff399a2660
https://zenodo.org/records/3525260/files/comic/grand-challenge.org-v2019.11.zip
public
https://github.com/comic/grand-challenge.org/tree/v2019.11
Is supplement to
url
10.5281/zenodo.3356819
isVersionOf
doi