Johannes Schwab

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 Johannes Schwab trusts overall

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

1. Lihong V. Wang
2. Patrick L. Combettes
3. Olaf Ronneberger
4. Yaniv Romano
5. Hemant Kumar Aggarwal
6. Zhou Wang
7. Elena Resmerita

Papers from Johannes Schwab's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Et al
3. ImageNet classification with deep convolutional neural networks
4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Image quality assessment: from error visibility to structural similarity
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. I and J

Their papers

• NETT: solving inverse problems with deep neural networks (2018) — 287 citations