Ken Masters

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ken Masters trusts overall

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

  1. Yehuda E. Kalay
  2. Ming-Hui Huang
  3. Gilly Salmon
  4. Christine A. Sinsky
  5. Tait D. Shanafelt
  6. Andre Esteva
  7. Geert J. S. Litjens

Who trusts Ken Masters overall

  1. Jitendra Singh
  2. Hyunsu Lee

Papers from Ken Masters's perspective

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

  1. Dermatologist-level classification of skin cancer with deep neural networks
  2. Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction. (Mayo Clinic proceedings)
  3. Computing Machinery and Intelligence
  4. A survey on deep learning in medical image analysis
  5. Clinically applicable deep learning for diagnosis and referral in retinal disease
  6. Disruptive devices: mobile technology for conversational learning
  7. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists (Annals of Oncology)
  8. The impact of video games on training surgeons in the 21st century. (Archives of Surgery)
  9. The wisdom of crowds : why the many are smarter than the few
  10. Deep Learning for Prediction of Obstructive Disease from Fast Myocardial Perfusion SPECT: A Multicenter Study (JACC Cardiovascular Imaging)

Their papers