Patrick Grossmann

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Grossmann trusts overall

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

  1. Max Kuhn
  2. Gavin Brown
  3. Isabelle M Guyon
  4. Chintan Parmar
  5. Hugo J. W. L. Aerts
  6. Anne-Claire Haury
  7. Robert Martin Haralick
  8. Yoav Benjamini
  9. M. Delgado
  10. J. Deasy

Who trusts Patrick Grossmann overall

  1. Chintan Parmar
  2. Ahmed Hosny
  3. R. Larue
  4. Mathieu Hatt
  5. Philippe Lambin
  6. Hugo J. W. L. Aerts
  7. G. Defraene
  8. John Quackenbush
  9. J. Barry

Papers from Patrick Grossmann's perspective

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

  1. An Introduction to Variable and Feature Selection
  2. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  3. Building Predictive Models in R Using the caret Package
  4. Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
  5. Distant Metastasis Occurs Late during the Genetic Evolution of Pancreatic Cancer (Nature)
  6. Decoding global gene expression programs in liver cancer by noninvasive imaging (Nature Biotechnology)
  7. Radiomics: Extracting more information from medical images using advanced feature analysis (European Journal of Cancer)
  8. Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing (New England Journal of Medicine)
  9. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Nature Communications)
  10. QIN “Radiomics: The Process and the Challenges” (Magnetic Resonance Imaging)

Their papers