Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning
Author:
Affiliation:
1. Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019 USA.
2. Department of Medical Imaging, University of Arizona, Tucson, AZ 85724 USA.
Funder
Army Research Office
National Institute of Biomedical Imaging and Bioengineering
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
General Medicine
Reference50 articles.
1. Foreword
2. Task-based measures of image quality and their relation to radiation dose and patient risk
3. Dimensionality reduction for visualizing single-cell data using UMAP
4. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
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