J. Jeong

Radiology, Nuclear Medicine and Imaging · 2017

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

Subfields

• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Pulmonary and Respiratory Medicine — 8 citations into it

Whom J. Jeong trusts overall

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

1. Kunio Doi

Papers from J. Jeong's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Caffe: Convolutional Architecture for Fast Feature Embedding
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Representation Learning: A Review and New Perspectives
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Learning Multiple Layers of Features from Tiny Images
9. Contour Detection and Hierarchical Image Segmentation
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A deep learning framework for supporting the classification of breast lesions in ultrasound images (2017) — 337 citations