2 papers
cs.CV2026
Convex Potential Learning for Optimal Transport Between Medical Images
Hongyu Kan, Ivan Medri, Natasha Ironside +4
Computing optimal transport maps between medical images plays a fundamental role in morphological analysis. However, existing methods are either difficult to scale to large 3D medi…
cs.CV2026
3D Transport-based Morphometry (3D-TBM) for medical image analysis
Hongyu Kan, Kristofor Pas, Ivan Medri +5
Transport-Based Morphometry (TBM) has emerged as a new framework for 3D medical image analysis. By embedding images into a transport domain via invertible transformations, TBM faci…