Elastic shape analysis computations for clustering left atrial appendage geometries of atrial fibrillation patients

no code implementations • 13 Mar 2024 • Zan Ahmad, Minglang Yin, Yashil Sukurdeep, Noam Rotenberg, Eugene Kholmovski, Natalia A. Trayanova

Morphological variations in the left atrial appendage (LAA) are associated with different levels of ischemic stroke risk for patients with atrial fibrillation (AF).

Learning the Night Sky with Deep Generative Priors

no code implementations • 3 Feb 2023 • Fausto Navarro, Daniel Hall, Tamas Budavari, Yashil Sukurdeep

Recovering sharper images from blurred observations, referred to as deconvolution, is an ill-posed problem where classical approaches often produce unsatisfactory results.

4k Astronomy +2

Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework

1 code implementation • 8 Apr 2022 • Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen, Nicolas Charon, Martin Bauer

This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics.

Supervised deep learning of elastic SRV distances on the shape space of curves

1 code implementation • 13 Jan 2021 • Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer

Motivated by applications from computer vision to bioinformatics, the field of shape analysis deals with problems where one wants to analyze geometric objects, such as curves, while ignoring actions that preserve their shape, such as translations, rotations, or reparametrizations.

An inexact matching approach for the comparison of plane curves with general elastic metrics

no code implementations • 9 Jan 2020 • Yashil Sukurdeep, Martin Bauer, Nicolas Charon

This paper introduces a new mathematical formulation and numerical approach for the computation of distances and geodesics between immersed planar curves.