Stephan Antholzer

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephan Antholzer trusts overall

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

  1. Lihong V. Wang
  2. Patrick L. Combettes

Papers from Stephan Antholzer's perspective

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

  1. Et al
  2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Image quality assessment: from error visibility to structural similarity
  5. I and J
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  8. ImageNet classification with deep convolutional neural networks
  9. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  10. Deep Learning

Their papers