Ghulam Murtaza

Radiology, Nuclear Medicine and Imaging · with Al-Garadi · 2019

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

Subfields

Whom Ghulam Murtaza trusts overall

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

  1. Fabio Alexandre Spanhol
  2. Kunio Doi
  3. Luiz Oliveira
  4. David Budgen
  5. Neeraj Dhungel
  6. Dalal Bardou
  7. Geoffrey E. Hinton
  8. Rahimeh Rouhi
  9. Jun Xu
  10. Caroline Petitjean

Papers from Ghulam Murtaza's perspective

Ordered by how strongly the researchers Ghulam Murtaza 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. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers