Yan Sun

Artificial Intelligence · with Jiang · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Sun trusts

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

  1. Cynthia Rudin (in Artificial Intelligence)
  2. Anant Madabhushi (in Artificial Intelligence)

Papers from Yan Sun's perspective

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

  1. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  2. Deep Learning
  3. Assessment of algorithms for mitosis detection in breast cancer histopathology images (Medical Image Anal.)
  4. Dermatologist-level classification of skin cancer with deep neural networks
  5. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
  6. Image analysis and machine learning in digital pathology: Challenges and opportunities (Medical Image Anal.)
  7. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer (Nature Medicine)
  8. Classification of breast cancer histology images using Convolutional Neural Networks (PLoS ONE)
  9. Opportunities and obstacles for deep learning in biology and medicine
  10. Predicting cancer outcomes from histology and genomics using convolutional networks (Proceedings of the National Academy of Sciences of the United States of America)

Their papers