Scott Doyle

Computer Vision and Pattern Recognition · 2008–2012

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Doyle trusts overall

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

  1. Serge Beucher
  2. Corinna Cortes
  3. Robert Martin Haralick
  4. Vladimir Naumovich Vapnik
  5. Chunming Li

Who trusts Scott Doyle overall

  1. Jocelyn Barker
  2. Lei He
  3. Angel Cruz-Roa
  4. Assaf Hoogi
  5. Adrien Depeursinge
  6. Jakob Nikolas Kather
  7. L. Rodney Long
  8. Hasib Zunair
  9. Daniel L. Rubin
  10. Ajay Basavanhally

Papers from Scott Doyle's perspective

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

  1. Support-Vector Networks
  2. Level set evolution without re-initialization: a new variational formulation (Computer Vision and Pattern Recognition)
  3. Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
  4. The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma (American Journal of Surgical Pathology)
  5. A Threshold Selection Method from Gray-Level Histograms
  6. Use of watersheds in contour detection
  7. Quantification of histochemical staining by color deconvolution. (Analytical and quantitative cytology and histology)
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Going deeper with convolutions

Their papers