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Found 3 papers, 1 papers with code
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
We introduce a new regression framework designed to deal with large-scale, complex data that lies around a low-dimensional manifold.
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation
To address these issues, we propose a novel medical image inpainting model named TBI-GAN to synthesize TBI MR scans with paired brain label maps.
Skeleton Clustering: Dimension-Free Density-based Clustering
We introduce a density-based clustering method called skeleton clustering that can detect clusters in multivariate and even high-dimensional data with irregular shapes.
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