Heng Huang

IEEE Transactions on Radiation and Plasma Medical Sciences · with Guo · 2019

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

Whom Heng Huang trusts overall

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

  1. Tin Kam Ho
  2. El Naqa
  3. E. Ewing

Papers from Heng Huang's perspective

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

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. Deep Learning
  3. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
  4. Random Forests
  5. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)
  6. Brain tumor segmentation with Deep Neural Networks
  7. Multimodal Deep Learning
  8. The Strength of Weak Learnability
  9. Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain (IEEE transactions on multimedia)
  10. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. (Medical Physics (Lancaster))

Their papers