386 citations · 686 across the 16 of their papers we have counts for
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eess.IV2022★ 68 cited
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
Tianyi Shi, Nicolas Boutry, Yongchao Xu +1
Segmentation of curvilinear structures is important in many applications, such as retinal blood vessel segmentation for early detection of vessel diseases and pavement crack segmen…
eess.IV2021★ 58 cited
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…