Xiang Li

Pulmonary and Respiratory Medicine · with Lee · 2019–2021

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

Subfields

Whom Xiang Li trusts overall

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

  1. Tin Kam Ho
  2. El Naqa
  3. E. Ewing
  4. Alex Pappachen James
  5. Olaf Ronneberger
  6. Gaurav Bhatnagar
  7. Aristeidis Sotiras
  8. Sérgio Pereira

Papers from Xiang Li's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Deep Learning
  5. ImageNet classification with deep convolutional neural networks
  6. Random Forests
  7. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
  8. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)
  9. Multimodal Deep Learning
  10. Brain tumor segmentation with Deep Neural Networks

Their papers