K. Nakayama

Artificial Intelligence · Nature Reviews. Cancer · 2000–2020

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. Nakayama trusts overall

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

  1. M. Shaban
  2. Andrew Janowczyk

Who trusts K. Nakayama overall

  1. Shuhui Lim
  2. M. B. Metzger

Papers from K. Nakayama's perspective

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

  1. Deep Learning
  2. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
  3. Staingan: Stain Style Transfer for Digital Histological Images
  4. Dermatologist-level classification of skin cancer with deep neural networks
  5. Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context
  6. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
  7. A logical calculus of the ideas immanent in nervous activity
  8. Deep learning for computational biology
  9. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
  10. Deep Learning in Medical Image Analysis

Their papers