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
- Computational Mechanics — 14 citations into it
- Biomedical Engineering — 13 citations into it
- Radiology, Nuclear Medicine and Imaging — 10 citations into it
- Mathematical Physics — 9 citations into it
Whom Stephan Antholzer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- Et al
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Image quality assessment: from error visibility to structural similarity
- I and J
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rectifier Nonlinearities Improve Neural Network Acoustic Models
- ImageNet classification with deep convolutional neural networks
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Deep Learning
Their papers
- NETT: solving inverse problems with deep neural networks (2018) — 287 citations