Andreas Wibmer
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 Andreas Wibmer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Andreas Wibmer's perspective
Ordered by how strongly the researchers Andreas Wibmer 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)
- Fast Effective Rule Induction
- Scikit-learn: Machine Learning in Python
- Imaging and cancer: A review (Molecular Oncology)
- An Introduction to Variable and Feature Selection
- Distant Metastasis Occurs Late during the Genetic Evolution of Pancreatic Cancer (Nature)