Fatemeh Haghighat

Radiology, Nuclear Medicine and Imaging · 2021

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fatemeh Haghighat trusts overall

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

  1. Yujin Oh
  2. Shervin Minaee
  3. Parnian Afshar
  4. Abdul Waheed
  5. Sangjoon Park
  6. R. Kafieh
  7. Muskan Goyal
  8. Leo Breiman
  9. Jong Chul Ye
  10. Ioannis D. Apostolopoulos

Papers from Fatemeh Haghighat's perspective

Ordered by how strongly the researchers Fatemeh Haghighat 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 classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Densely Connected Convolutional Networks
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers