Marcus A. Badgeley

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Statistics and Probability — 10 citations into it

Whom Marcus A. Badgeley trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Peter M. Rothwell
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Xavier Robin
8. X. Zhang
9. Jia Deng
10. L. Eon Bottou

Who trusts Marcus A. Badgeley overall

1. Cynthia Rudin
2. Joseph D. Janizek
3. Julius Adebayo
4. Alina Jade Barnett
5. Arvid Lundervold
6. Gabriel Erion-Barner
7. Shiori Sagawa
8. Heang-Ping Chan
9. Ananya Kumar

Papers from Marcus A. Badgeley's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study (2018) — 1,601 citations
• Deep learning predicts hip fracture using confounding patient and healthcare variables (2018) — 286 citations
• Automated deep-neural-network surveillance of cranial images for acute neurologic events (2018) — 397 citations
• Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports. (2018) — 142 citations
• Deep learning guided stroke management: a review of clinical applications (2017) — 119 citations