Michael B. Gotway

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 7 citations into it

Whom Michael B. Gotway trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Papers from Michael B. Gotway's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Understanding the difficulty of training deep feedforward neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? (2016) — 2,955 citations
• Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis (2019) — 406 citations
• Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally (2017) — 409 citations