Okeke Stephen

Journal of Healthcare Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Okeke Stephen trusts overall

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

1. L. Yao
2. Xiaosong Wang
3. Barret Zoph

Papers from Okeke Stephen's perspective

Ordered by how strongly the researchers Okeke Stephen 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. ImageNet classification with deep convolutional neural networks
3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare (2019) — 537 citations