M. Rietbergen
Molecular Biology · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom M. Rietbergen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Max Kuhn (in Artificial Intelligence)
Who trusts M. Rietbergen
- Hugo J. W. L. Aerts (in Radiology, Nuclear Medicine and Imaging)
Papers from M. Rietbergen's perspective
Ordered by how strongly the researchers M. Rietbergen trusts endorse each paper. Same corpus, a different order for every researcher.
- Building Predictive Models in R Using the caret Package
- An Introduction to Variable and Feature Selection
- Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
- Distant Metastasis Occurs Late during the Genetic Evolution of Pancreatic Cancer (Nature)
- Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing (New England Journal of Medicine)
- QIN “Radiomics: The Process and the Challenges” (Magnetic Resonance Imaging)
- Radiomics: Extracting more information from medical images using advanced feature analysis (European Journal of Cancer)
- Cancer heterogeneity: implications for targeted therapeutics
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. (Radiotherapy and Oncology)
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis (Scientific Reports)
Their papers
- Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (2015) — 381 citations
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (2014) — 4,696 citations
- Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (2014) — 741 citations