Ronald L. Wolf

Magnetic Resonance in Medicine · 2009–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ronald L. Wolf trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman (in Evaluation & Benchmarks)

Papers from Ronald L. Wolf's perspective

Ordered by how strongly the researchers Ronald L. Wolf trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Introduction to Variable and Feature Selection
2. Bagging Predictors
3. Advances in functional and structural MR image analysis and implementation as FSL.
4. Gene Selection for Cancer Classification using Support Vector Machines
5. A global optimisation method for robust affine registration of brain images (Medical Image Anal.)
6. Numerical Recipes in C: The Art of Scientific Computing
7. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. (Journal of Neurosurgery)
8. Variable Selection Using SVM-based Criteria
9. An integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR and NF1 (Cancer Cell)
10. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. (The Lancet Oncology)

Their papers

• Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme (2009) — 826 citations
• Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques. (2016) — 296 citations