Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
HJHugo J.W.L. AertsEREmmanuel Rios VelazquezRTRalph T. H. LeijenaarCPChintan ParmarPGPatrick Großmann
Maastro Clinic · Maastricht University · +11 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
Citation impact
5,121
total citations
- FWCI
- 153.22
- Percentile
- 100%
- References
- 29
Citations per year
Authors
17- HJHugo J.W.L. AertsCorresponding
Maastro Clinic, Maastricht University
- EREmmanuel Rios Velazquez
Maastro Clinic, Maastricht University
- RTRalph T. H. Leijenaar
Maastro Clinic, Maastricht University
- CPChintan Parmar
Maastro Clinic, Maastricht University
- PGPatrick Großmann
Dana-Farber Brigham Cancer Center, Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute
Topics & keywords
Topics
Keywords
- Radiomics
- Radiogenomics
- Lung cancer
- Medicine
- Head and neck cancer
- Phenotype
- Head and neck
- Medical imaging
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.
Funding
- EFEuropean Federation of Pharmaceutical Industries and Associations
- KKKWF KankerbestrijdingAwards: UM 2009-4454, 2011-5020, KWF UM 2009-4454, KWF UM 2011-5020, 2009-4454
- CFCenter for Translational Molecular MedicineAwards: grant 030-103, 030-103
- IMInnovative Medicines InitiativeAward: 115151
- NINational Institutes of HealthAwards: NIH-USA U01 CA 143062-01, U01 CA 143062-01
- IInterreg