Carson K. Lam

Radiology, Nuclear Medicine and Imaging · 2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 15 citations into it
• Artificial Intelligence — 13 citations into it
• Ophthalmology — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Carson K. Lam trusts overall

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

1. Bálint Antal
2. András Hajdu
3. Kaiming He
4. Hang Su
5. Yoshua Bengio
6. Christian Szegedy
7. Xavier Glorot

Papers from Carson K. Lam's perspective

Ordered by how strongly the researchers Carson K. Lam 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 Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Rethinking the Inception Architecture for Computer Vision
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Understanding the difficulty of training deep feedforward neural networks
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Distributed deep learning networks among institutions for medical imaging (2018) — 315 citations
• Automated Detection of Diabetic Retinopathy using Deep Learning (2018) — 357 citations