most citedThe state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

19 citations · 19 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

Unsupervised Decomposition Networks for Bias Field Correction in MR Image

Dong Liang, Xingyu Qiu, Kuanquan Wang +3

Bias field, which is caused by imperfect MR devices or imaged objects, introduces intensity inhomogeneity into MR images and degrades the performance of MR image analysis methods.…

eess.IV2023★ 19 cited

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

Xiangyu Li, Gongning Luo, Kuanquan Wang +31

Automatic intracranial hemorrhage segmentation in 3D non-contrast head CT (NCCT) scans is significant in clinical practice. Existing hemorrhage segmentation methods usually ignores…