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20212024
most citedChange point detection and image segmentation for time series of astrophysical images

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2024

Change Point Detection in Pairwise Comparison Data with Covariates

Yi Han, Thomas C. M. Lee

This paper introduces the novel piecewise stationary covariate-assisted ranking estimation (PS-CARE) model for analyzing time-evolving pairwise comparison data, enhancing item rank…

eess.IV2024

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging

Xiawei Wang, James Sharpnack, Thomas C. M. Lee

Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ…

stat.ME2024★ 2 cited

AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors

Wei Du, Jan Hannig, Thomas C. M. Lee +2

The concept of fiducial inference was introduced by R. A. Fisher in the 1930s to address the perceived limitations of Bayesian inference, particularly the need for subjective prior…

astro-ph.IM2022★ 3 cited

Identifying diffuse spatial structures in high-energy photon lists

Minjie Fan, Jue Wang, Vinay L. Kashyap +3

Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estim…

astro-ph.IM2021★ 7 cited

Change point detection and image segmentation for time series of astrophysical images

Cong Xu, Hans Moritz Günther, Vinay L. Kashyap +2

Many astrophysical phenomena are time-varying, in the sense that their intensity, energy spectrum, and/or the spatial distribution of the emission suddenly change. This paper devel…