Andre Esteva
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it; #16,183 of 21,575 by trust here, #1,319 by citations
Whom Andre Esteva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Jia Deng
- Karen Simonyan
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Andrew Zisserman
Who trusts Andre Esteva overall
- Michal Kosinski
- Andreas Holzinger
- Yujie Ji
- Raquel Dias
- Erik Brynjolfsson
- Sara Hooker
- Yu Li
- Noel C. F. Codella
- Justin A. Sirignano
- Jie Zhang
Papers from Andre Esteva's perspective
Ordered by how strongly the researchers Andre Esteva trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Dermatologist-level classification of skin cancer with deep neural networks (2017) — 12,830 citations
- A guide to deep learning in healthcare (2019) — 4,405 citations
- Deep learning-enabled medical computer vision (2021) — 1,179 citations
- In silico labeling: Predicting fluorescent labels in unlabeled images (2018) — 587 citations