2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers
Ling Huang, Yucheng Xing, Qika Lin +2
Multimodal survival analysis aims to combine heterogeneous data sources (e.g., clinical, imaging, text, genomics) to improve the prediction quality of survival outcomes. However, t…
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…
eess.IV2023★ 2 cited
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation
Ling Huang, Su Ruan, Pierre Decazes +1
Single-modality medical images generally do not contain enough information to reach an accurate and reliable diagnosis. For this reason, physicians generally diagnose diseases base…