Sebastian Weingärtner

Radiology, Nuclear Medicine and Imaging · 2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 26 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Sebastian Weingärtner trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Jia Deng
7. Viren Jain
8. Peter Kellman

Papers from Sebastian Weingärtner's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Backpropagation Applied to Handwritten Zip Code Recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Time efficient whole-brain coverage with MR Fingerprinting using slice-interleaved echo-planar-imaging (2018) — 35 citations
• Scan-specific Robust Artificial-neural-networks for k-space Interpolation (RAKI) Reconstruction: Database-free Deep Learning for Fast Imaging (2018) — 403 citations