Andre L. A. J. Dekker
Statistics and Probability · 2012–2020
A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it
Whom Andre L. A. J. Dekker trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Douglas G. Altman (in Statistics and Probability)
Who trusts Andre L. A. J. Dekker
- Hugo J. W. L. Aerts (in Radiology, Nuclear Medicine and Imaging)
Papers from Andre L. A. J. Dekker's perspective
Ordered by how strongly the researchers Andre L. A. J. Dekker trusts endorse each paper. Same corpus, a different order for every researcher.
- The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. (Medical Physics (Lancaster))
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Bootstrap Methods: Another Look at the Jackknife
- Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. (Journal of the National Cancer Institute)
- Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
- Texture analysis using gray level run lengths
- Fast approximate energy minimization via graph cuts
- Use of archived specimens in evaluation of prognostic and predictive biomarkers. (Journal of the National Cancer Institute)
- The positive false discovery rate: a Bayesian interpretation and the q-value
- Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
Their papers
- QIN “Radiomics: The Process and the Challenges” (2012) — 2,066 citations
- Radiomics: Extracting more information from medical images using advanced feature analysis (2012) — 5,387 citations
- Characterisation and classification of oligometastatic disease: a European Society for Radiotherapy and Oncology and European Organisation for Research and Treatment of Cancer consensus recommendation. (2020) — 862 citations
- Repeatability and Reproducibility of Radiomic Features: A Systematic Review (2018) — 794 citations
- Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries (2017) — 134 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