most citedA review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods

2 citations · 4 across the 3 of their papers we have counts for

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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…