Josef Pauli

Medical Image Anal. · 2009–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Josef Pauli trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto

Who trusts Josef Pauli overall

  1. Brielen Madureira
  2. Andrea Soltoggio
  3. David Schlangen

Papers from Josef Pauli's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Group Normalization
  5. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
  6. Pyramid Attention Network for Semantic Segmentation
  7. Dual Attention Network for Scene Segmentation
  8. Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets (IEEE Transactions on Medical Imaging)
  9. Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis
  10. The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration (Journal of Medical Internet Research)

Their papers