Cecilia S. Lee

Radiology, Nuclear Medicine and Imaging · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Artificial Intelligence — 5 citations into it; #34,557 of 35,345 by trust here, #27,551 by citations

Whom Cecilia S. Lee trusts overall

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

1. B. van Ginneken

Who trusts Cecilia S. Lee overall

1. Joseph D. Futoma
2. Ursula Schmidt-Erfurth

Papers from Cecilia S. Lee's perspective

Ordered by how strongly the researchers Cecilia S. Lee 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Applications of continual learning machine learning in clinical practice (2020) — 213 citations
• Deep-Learning Based, Automated Segmentation of Macular Edema in Optical Coherence Tomography (2017) — 315 citations
• Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration (2016) — 329 citations