Advanced Image Fusion Techniques

This paper introduces an unsupervised neural network method for bladder endoscopy image stitching, achieving high success rates and robustness in challenging conditions.

This paper develops a deep learning architecture for fusing multiple 3D neuroimaging modalities into informative latent embeddings, demonstrating their ability to cluster subjects into separable phenotypic strata.