188 citations · 193 across the 5 of their papers we have counts for
5 papers
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng, Yuan Zhong, Qi Dou +1
Mitigating the discrimination of machine learning models has gained increasing attention in medical image analysis. However, rare works focus on fair treatments for patients with m…
Improving Fairness in Image Classification via Sketching
Ruichen Yao, Ziteng Cui, Xiaoxiao Li +1
Fairness is a fundamental requirement for trustworthy and human-centered Artificial Intelligence (AI) system. However, deep neural networks (DNNs) tend to make unfair predictions w…
Efficient Medical Image Assessment via Self-supervised Learning
Chun-Yin Huang, Qi Lei, Xiaoxiao Li
High-performance deep learning methods typically rely on large annotated training datasets, which are difficult to obtain in many clinical applications due to the high cost of medi…
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
Weina Jin, Xiaoxiao Li, Mostafa Fatehi +1
Explainable artificial intelligence (XAI) is essential for enabling clinical users to get informed decision support from AI and comply with evidence-based medical practice. Applyin…
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement
Xiaoxiao Li, Xiaopeng Guo, Liye Mei +4
Low-light image enhancement is a promising solution to tackle the problem of insufficient sensitivity of human vision system (HVS) to perceive information in low light environments…