Ren Zuo

Artificial Intelligence · 2019

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

Subfields

Whom Ren Zuo trusts overall

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

  1. Anant Madabhushi

Who trusts Ren Zuo overall

  1. Hideyuki Shimizu
  2. Artem Shmatko

Papers from Ren Zuo's perspective

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

  1. The Cancer Genome Atlas Pan-Cancer Analysis Project
  2. Why Batch Effects Matter in Omics Data, and How to Avoid Them. (Trends in Biotechnology)
  3. Image analysis and machine learning in digital pathology: Challenges and opportunities (Medical Image Anal.)
  4. Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images using Deep Learning
  5. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases (Journal of Pathology Informatics)
  6. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images (IEEE Transactions on Medical Imaging)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features (Journal of Medical Imaging)
  9. ImageNet classification with deep convolutional neural networks
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers