Eric Wu

Artificial Intelligence · Patterns · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Wu trusts overall

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

  1. Cynthia Rudin
  2. Ahmed Hosny

Who trusts Eric Wu overall

  1. Inioluwa Deborah Raji

Papers from Eric Wu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  4. ImageNet classification with deep convolutional neural networks
  5. Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology (Nature Reviews Clinical Oncology)
  6. Artificial intelligence in radiology (Nature Reviews. Cancer)
  7. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (Nature Medicine)
  8. Deep learning-based classification of mesothelioma improves prediction of patient outcome
  9. International evaluation of an AI system for breast cancer screening
  10. Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging (Clinical Cancer Research)

Their papers