2 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2024
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers
Ling Huang, Yucheng Xing, Thierry Denoeux +1
We introduce an evidential model for time-to-event prediction with censored data. In this model, uncertainty on event time is quantified by Gaussian random fuzzy numbers, a newly i…
eess.IV2023★ 2 cited
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang, Su Ruan, Yucheng Xing +1
The comprehensive integration of machine learning healthcare models within clinical practice remains suboptimal, notwithstanding the proliferation of high-performing solutions repo…
cs.CV2023★ 2 cited
Medical Image Segmentation with Belief Function Theory and Deep Learning
Ling Huang
Deep learning has shown promising contributions in medical image segmentation with powerful learning and feature representation abilities. However, it has limitations for reasoning…