Muhammed Talo

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Muhammed Talo trusts overall

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

1. Linda Wang
2. Alex Krizhevsky
3. Kaiming He
4. Özal Yıldırım
5. Geoffrey E. Hinton
6. Yann LeCun
7. Ilya Sutskever
8. Yoshua Bengio
9. Joseph Redmon
10. Ioannis D. Apostolopoulos

Who trusts Muhammed Talo overall

1. Gonçalo Marques
2. Suat Toraman
3. Asif Iqbal Khan

Papers from Muhammed Talo's perspective

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

Their papers

• Automated detection of COVID-19 cases using deep neural networks with X-ray images (2020) — 2,261 citations
• Application of deep transfer learning for automated brain abnormality classification using MR images (2019) — 456 citations
• Classification of myocardial infarction with multi-lead ECG signals and deep CNN (2019) — 435 citations