5 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ME2023★ 1 cited
Statistical Inference on Grayscale Images via the Euler-Radon Transform
Kun Meng, Mattie Ji, Jinyu Wang +4
Tools from topological data analysis have been widely used to represent binary images in many scientific applications. Methods that aim to represent grayscale images (i.e., where p…
stat.ME2023
Hypothesis testing for medical imaging analysis via the smooth Euler characteristic transform
Jinyu Wang, Kun Meng, Fenghai Duan
Shape-valued data are of interest in applied sciences, particularly in medical imaging. In this paper, inspired by a specific medical imaging example, we introduce a hypothesis tes…
stat.ME2022★ 5 cited
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
Kun Meng, Jinyu Wang, Lorin Crawford +1
In this article, we establish the mathematical foundations for modeling the randomness of shapes and conducting statistical inference on shapes using the smooth Euler characteristi…