S. Yip

Radiology, Nuclear Medicine and Imaging · 2016

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

Subfields

Whom S. Yip trusts overall

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

  1. Chintan Parmar
  2. Hugo J. W. L. Aerts
  3. Perry Grigsby

Who trusts S. Yip overall

  1. Philippe Lambin

Papers from S. Yip's perspective

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

  1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Nature Communications)
  2. Texture analysis using gray level run lengths
  3. Machine Learning methods for Quantitative Radiomic Biomarkers (Scientific Reports)
  4. The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis (Scientific Reports)
  5. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes (Pattern Recognition)
  6. Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation (PLoS ONE)
  7. Textural features corresponding to textural properties
  8. Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
  9. QIN “Radiomics: The Process and the Challenges” (Magnetic Resonance Imaging)
  10. Textural Features for Image Classification

Their papers