D. Fehr
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom D. Fehr trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts D. Fehr overall
Papers from D. Fehr's perspective
Ordered by how strongly the researchers D. Fehr 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)
- Mining with rarity: a unifying framework
- Upgrading and Downgrading of Prostate Cancer from Biopsy to Radical Prostatectomy: Incidence and Predictive Factors Using the Modified Gleason Grading System and Factoring in Tertiary Grades (European Urology)
- Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
- Distant Metastasis Occurs Late during the Genetic Evolution of Pancreatic Cancer (Nature)
- Imaging and cancer: A review (Molecular Oncology)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- An Introduction to Variable and Feature Selection
- Scikit-learn: Machine Learning in Python