Dirk Timmerman
Artificial Intelligence · 2000–2016
A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
Whom Dirk Timmerman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Dirk Timmerman's perspective
Ordered by how strongly the researchers Dirk Timmerman trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical Learning Theory
- The Elements of Statistical Learning
- Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
- An Introduction To Compressive Sampling
- A Practical Guide to Splines
- The diagnostic odds ratio: a single indicator of test performance. (Journal of Clinical Epidemiology)
- Regression Modeling Strategies (Technometrics)
- Nonlinear total variation based noise removal algorithms
- Learning Bayesian networks
- A Nomogram for Predicting the Likelihood of Additional Nodal Metastases in Breast Cancer Patients With a Positive Sentinel Node Biopsy (Annals of Surgical Oncology)
Their papers
- Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks (2006) — 371 citations
- Systematic approach to sonographic evaluation of the pelvis in women with suspected endometriosis, including terms, definitions and measurements: a consensus opinion from the International Deep Endometriosis Analysis (IDEA) group (2016) — 772 citations
- Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group (2015) — 660 citations
- A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology (2012) — 39 citations
- The EFSUMB Guidelines and Recommendations on the Clinical Practice of Contrast Enhanced Ultrasound (CEUS): Update 2011 on non-hepatic applications (2011) — 1,158 citations
- Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy (2007) — 11 citations
- Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma. (2001) — 614 citations
- Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group (2000) — 1,061 citations
- Bayesian networks in ovarian cancer diagnosis: potentials and limitations (2000) — 34 citations