Pegah Khosravi

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Model Architectures — 19 citations into it

Whom Pegah Khosravi trusts overall

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

1. Christian Szegedy
2. Yann LeCun
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Karen Simonyan
7. Yoshua Bengio
8. Ilya Sutskever
9. L. Eon Bottou
10. Andrew Zisserman

Papers from Pegah Khosravi's perspective

Ordered by how strongly the researchers Pegah Khosravi 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Harnessing multimodal data integration to advance precision oncology (2021) — 563 citations
• Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization (2019) — 370 citations
• Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images (2017) — 314 citations