output
20182024
most citedAnnotation-efficient deep learning for automatic medical image segmentation

313 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019 · eess.IVShow all

2 papers · 2 filters

eess.IV2019★ 4 cited

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation

Cheng Li, Hui Sun, Zaiyi Liu +3

Multi-modal magnetic resonance imaging (MRI) is essential in clinics for comprehensive diagnosis and surgical planning. Nevertheless, the segmentation of multi-modal MR images tend…

eess.IV2019★ 139 cited

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

Kehan Qi, Hao Yang, Cheng Li +4

The morbidity of brain stroke increased rapidly in the past few years. To help specialists in lesion measurements and treatment planning, automatic segmentation methods are critica…