Chun Ouyang

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

2023 · 626 Zit. · Information Fusion

Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

2021 · 249 Zit. · Information Fusion

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

2023 · 70 Zit. · International Journal of Intelligent Systems

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

2024 · 52 Zit. · Artificial Intelligence in Medicine

Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning

2024 · 19 Zit. · European Journal of Radiology

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

2021 · 18 Zit. · arXiv (Cornell University)

EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion

2024 · 3 Zit. · Machine Learning and Knowledge Extraction