AI-based association analysis for medical imaging using latent-space geometric confounder correction
Our group member Xianjing Liu and colleagues have published a new article in Medical Image Analysis: AI-based association analysis for medial imaging using latent-space geometric confounder correction. In AI-based medical image analysis, it is known to be difficult to derive clinically or epidemiologically significant insights from AI-generated results, due to the complexity of visualizing non-linear …