Mathieu Hatt

Radiology · 2009–2016

A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Mathieu Hatt trusts overall

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

  1. El Naqa
  2. Chintan Parmar
  3. Patrick Grossmann
  4. Hugo J. W. L. Aerts
  5. Philippe Lambin

Who trusts Mathieu Hatt overall

  1. Habib Zaidi
  2. R. Larue
  3. I. E. El Naqa

Papers from Mathieu Hatt's perspective

Ordered by how strongly the researchers Mathieu Hatt 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. Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
  3. Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing (New England Journal of Medicine)
  4. Radiomics: Extracting more information from medical images using advanced feature analysis (European Journal of Cancer)
  5. QIN “Radiomics: The Process and the Challenges” (Magnetic Resonance Imaging)
  6. Machine Learning methods for Quantitative Radiomic Biomarkers (Scientific Reports)
  7. Texture analysis using gray level run lengths
  8. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)
  9. Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (Frontiers in Oncology)
  10. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? (Insights into Imaging)

Their papers