3 papers
cs.CV2026
A General Model for Retinal Segmentation and Quantification
Zhonghua Wang, Lie Ju, Sijia Li +12
Retinal imaging is fast, non-invasive, and widely available, offering quantifiable structural and vascular signals for ophthalmic and systemic health assessment. This accessibility…
stat.ME2025
Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
Xiudi Li, Sijia Li
We propose a semiparametric data fusion framework for efficient inference on survival probabilities by integrating right-censored and current status data. Existing data fusion meth…
stat.ME2025
Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
Xiudi Li, Sijia Li
We propose a general framework for statistical inference on the overall strengths of players in pairwise comparisons, allowing for potential shifts in the covariate distribution. T…