29 citations · 29 across the 5 of their papers we have counts for
5 papers
TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography
Lemeng Wang, Wentao Liu, Weijin Xu +3
Cerebrovascular disease is one of the major diseases facing the world today. Automatic segmentation of intracranial artery (IA) in digital subtraction angiography (DSA) sequences i…
Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT
Wentao Liu, Tong Tian, Weijin Xu +3
Abdominal organ and tumour segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manual assessment…
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
Wentao Liu, Tong Tian, Lemeng Wang +11
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
Wentao Liu, Weijin Xu, Songlin Yan +3
Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs f…
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
Wentao Liu, Tong Tian, Weijin Xu +4
The success of Transformer in computer vision has attracted increasing attention in the medical imaging community. Especially for medical image segmentation, many excellent hybrid…