Yi-Hong Chou

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Hong Chou trusts overall

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

  1. Vladimir Vezhnevets

Papers from Yi-Hong Chou's perspective

Ordered by how strongly the researchers Yi-Hong Chou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  2. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  3. Exploring Strategies for Training Deep Neural Networks
  4. Contour Detection and Hierarchical Image Segmentation
  5. Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (NeuroImage)
  6. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis (Brain Structure and Function)
  7. Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
  8. Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
  9. Liver fibrosis in viral hepatitis: noninvasive assessment with acoustic radiation force impulse imaging versus transient elastography. (Radiology)
  10. Distance Regularized Level Set Evolution and Its Application to Image Segmentation

Their papers