Onur Asan

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Health Informatics — 18 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Medical & Health AI — 7 citations into it

Whom Onur Asan trusts overall

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

1. R. Holden
2. John McCarthy
3. Jonathan Evans
4. Andre Esteva
5. Pascale Carayon
6. Joon-Myoung Kwon
7. Eric J. Topol
8. Roger C. Mayer
9. John D. Lee
10. James Y. Zou

Who trusts Onur Asan overall

1. Saleh Afroogh
2. Emilio Ferrara
3. Ali Akbari
4. Astrid Schepman

Papers from Onur Asan's perspective

Ordered by how strongly the researchers Onur Asan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Explaining and Harnessing Adversarial Examples
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Fairness through awareness
7. Certifying and Removing Disparate Impact
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. High-performance medicine: the convergence of human and artificial intelligence

Their papers

• Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review (2020) — 338 citations
• Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians (2019) — 657 citations