G. Defraene
Radiology, Nuclear Medicine and Imaging · 2017
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 20 citations into it
Whom G. Defraene trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from G. Defraene's perspective
Ordered by how strongly the researchers G. Defraene trusts endorse each paper. Same corpus, a different order for every researcher.
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Nature Communications)
- Radiomics: Extracting more information from medical images using advanced feature analysis (European Journal of Cancer)
- QIN “Radiomics: The Process and the Challenges” (Magnetic Resonance Imaging)
- Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
- Machine Learning methods for Quantitative Radiomic Biomarkers (Scientific Reports)
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis (Scientific Reports)
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. (Radiotherapy and Oncology)
- Radiomics: Images Are More than Pictures, They Are Data (Radiology)
- Regression Shrinkage and Selection via the Lasso
- Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (Frontiers in Oncology)