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20162026
most citedPredicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis

99 citations · 157 across the 39 of their papers we have counts for

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5 papers · 1 filter

math.AT2026

Density-Robust Spherical Coordinates from Persistent Cohomology

Nick Nordwald, Inés García-Redondo, Anthea Monod

Persistent cohomology provides a principled framework for constructing nonlinear coordinates that reflect the topology of data. However, these topological coordinates can be severe…

math.AT2025

Generalized Persistent Laplacians and their Spectral Properties

Arne Wolf, Jiyu Fan, Anthea Monod

Laplacian operators are classical objects that are fundamental in both pure and applied mathematics and are becoming increasingly prominent in modern computational and data science…

math.AT2023★ 2 cited

Generalized Morse Theory of Distance Functions to Surfaces for Persistent Homology

Anna Song, Ka Man Yim, Anthea Monod

This paper brings together three distinct theories with the goal of quantifying shape textures with complex morphologies. Distance fields are central objects in shape representatio…

math.AT2023★ 1 cited

Stability for Inference with Persistent Homology Rank Functions

Qiquan Wang, Inés García-Redondo, Pierre Faugère +2

Persistent homology barcodes and diagrams are a cornerstone of topological data analysis that capture the "shape" of a wide range of complex data structures, such as point clouds,…

math.AT2022★ 2 cited

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching

Inés García-Redondo, Anthea Monod, Anna Song

Within the context of topological data analysis, the problems of identifying topological significance and matching signals across datasets are important and useful inferential task…