Roohallah Alizadehsani

Comput. Methods Programs Biomed. · 2013–2024

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Roohallah Alizadehsani trusts overall

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

1. Leo Breiman
2. Douglas P. Zipes
3. R. Caruana
4. Peter Libby
5. Alexandru Niculescu-Mizil
6. R. Bonow
7. Michael S. Steinbach

Papers from Roohallah Alizadehsani's perspective

Ordered by how strongly the researchers Roohallah Alizadehsani 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Deep Learning
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A review of Explainable Artificial Intelligence in healthcare (2024) — 452 citations
• Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2020) — 385 citations
• Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm (2017) — 456 citations
• A data mining approach for diagnosis of coronary artery disease (2013) — 312 citations