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Quantitative Imaging Informatics for Cancer Research
Author(s) -
Andriy Fedorov,
Reinhard Beichel,
Jayashree KalpathyCramer,
David Clunie,
Michael D. Onken,
Jörg Riesmeier,
Christian Herz,
Christian Bauer,
Andrew Beers,
JeanChristophe FillionRobin,
András Lassó,
Csaba Pintér,
Steve Pieper,
Marco Nolden,
Klaus MaierHein,
Markus D. Herrmann,
Joel Saltz,
Fred Prior,
Fiona Fennessy,
John M. Buatti,
Ron Kikinis
Publication year - 2020
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.19.00165
Subject(s) - dicom , standardization , health informatics , informatics , computer science , health informatics tools , data science , implementation , interface (matter) , medical physics , medicine , software engineering , engineering , artificial intelligence , bubble , maximum bubble pressure method , parallel computing , electrical engineering , operating system , nursing , public health
We summarize Quantitative Imaging Informatics for Cancer Research (QIICR; U24 CA180918), one of the first projects funded by the National Cancer Institute (NCI) Informatics Technology for Cancer Research program.

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