José Bernal

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 86 citations into it
• Artificial Intelligence — 54 citations into it
• Radiology, Nuclear Medicine and Imaging — 25 citations into it
• Optimization & Training — 19 citations into it

Whom José Bernal trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Karen Simonyan
7. Diederik P. Kingma
8. Ilya Sutskever
9. Christian Szegedy
10. Andrew Zisserman

Who trusts José Bernal overall

1. Zhihua Liu

Papers from José Bernal's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review (2017) — 385 citations
• Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) — 2,033 citations