Joseph C. Kvedar

Health Affairs · 2014–2023

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Joseph C. Kvedar trusts

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

  1. Rifat A. Atun (in Health Informatics)
  2. Trishan Panch (in Health Informatics)
  3. Heather Mattie (in Health Informatics)

Papers from Joseph C. Kvedar's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Mastering the game of Go with deep neural networks and tree search
  3. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
  4. Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the U.S. Population, 2012. (JAMA dermatology)
  5. Dermatologist-level classification of skin cancer with deep neural networks
  6. Artificial intelligence and algorithmic bias: implications for health systems (Journal of Global Health)
  7. There is a blind spot in AI research
  8. Machine Learning and the Profession of Medicine. (Journal of the American Medical Association (JAMA))
  9. What is a systematic review?
  10. ImageNet: A large-scale hierarchical image database

Their papers