Jianhua Yang

Computer Vision and Pattern Recognition · with Cao · 2018

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 Jianhua Yang trusts overall

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

  1. Mark Jenkinson
  2. Bob D. de Vos
  3. Shun Miao
  4. Olaf Ronneberger
  5. Yongyue Zhang
  6. Xiao Yang
  7. Heung-Il Suk
  8. Stephen M. Smith
  9. Mina Rezaei
  10. Christos Davatzikos

Papers from Jianhua Yang's perspective

Ordered by how strongly the researchers Jianhua Yang 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. ImageNet classification with deep convolutional neural networks
  3. Nonrigid registration using free-form deformations: application to breast MR images
  4. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (International Journal of Computer Vision)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. A CNN Regression Approach for Real-Time 2D/3D Registration (IEEE Transactions on Medical Imaging)
  7. Fully convolutional networks for semantic segmentation
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  10. Dense image registration through MRFs and efficient linear programming (Medical Image Anal.)

Their papers