Topological approaches to skin disease image analysis. - Yu-Min Chung 002; Chuan-Shen Hu; Austin Lawson; Clifford D. Smyth (IEEE BigData, 2018)

TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification. - Yu-Min Chung 002; Chuan-Shen Hu; Austin Lawson; Clifford D. Smyth (CoRR, 2019)

Smooth Summaries of Persistence Diagrams and Texture Classification. - Yu-Min Chung 002; Michael Hull; Austin Lawson (CVPR Workshops, 2020)

A Hybrid Metric based on Persistent Homology and its Application to Signal Classification. - Austin Lawson; Yu-Min Chung 002; William Cruse (ICPR, 2020)

A Persistent Homology Approach to Time Series Classification. - Yu-Min Chung 002; William Cruse; Austin Lawson (CoRR, 2020)

Two-parameter Persistence for Images via Distance Transform. - Chuan-Shen Hu; Austin Lawson; Yu-Min Chung 002; Kaitlin Keegan (ICCVW, 2021)

Persistence Curves: A canonical framework for summarizing persistence diagrams. - Yu-Min Chung 002; Austin Lawson (Adv. Comput. Math., 2022)

Gaussian Persistence Curves. - Yu-Min Chung 002; Michael Hull; Austin Lawson; Neil Pritchard (CoRR, 2022)

A random persistence diagram generator. - Theodore Papamarkou; Farzana Nasrin; Austin Lawson; Na Gong; Orlando Rios; Vasileios Maroulas (Stat. Comput., 2022)