Ghulam Mujtaba

Radiology, Nuclear Medicine and Imaging · 2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 20 citations into it
• Pulmonary and Respiratory Medicine — 6 citations into it

Whom Ghulam Mujtaba trusts overall

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

1. Geoffrey E. Hinton
2. Fabio Alexandre Spanhol

Papers from Ghulam Mujtaba's perspective

Ordered by how strongly the researchers Ghulam Mujtaba 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions (2019) — 358 citations
• Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges (2019) — 297 citations