139 citations · 701 across the 36 of their papers we have counts for
7 papers · 1 filter
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation
Shishuai Hu, Zehui Liao, Yong Xia
The domain discrepancy existed between medical images acquired in different situations renders a major hurdle in deploying pre-trained medical image segmentation models for clinica…
Learning from partially labeled data for multi-organ and tumor segmentation
Yutong Xie, Jianpeng Zhang, Yong Xia +1
Medical image benchmarks for the segmentation of organs and tumors suffer from the partially labeling issue due to its intensive cost of labor and expertise. Current mainstream app…
Boundary-Aware Network for Abdominal Multi-Organ Segmentation
Shishuai Hu, Zehui Liao, Yong Xia
Automated abdominal multi-organ segmentation is a crucial yet challenging task in the computer-aided diagnosis of abdominal organ-related diseases. Although numerous deep learning…
Boundary-Aware Network for Kidney Parsing
Shishuai Hu, Yiwen Ye, Zehui Liao +1
Kidney structures segmentation is a crucial yet challenging task in the computer-aided diagnosis of surgery-based renal cancer. Although numerous deep learning models have achieved…
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Shishuai Hu, Zehui Liao, Yong Xia
Carotid vessel wall segmentation is a crucial yet challenging task in the computer-aided diagnosis of atherosclerosis. Although numerous deep learning models have achieved remarkab…
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers
Yutong Xie, Jianpeng Zhang, Yong Xia +2
Although Transformers have successfully transitioned from their language modelling origins to image-based applications, their quadratic computational complexity remains a challenge…
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
Haozhe Jia, Chao Bai, Weidong Cai +2
In our previous work, , HNF-Net, high-resolution feature representation and light-weight non-local self-attention mechanism are exploited for brain tumor segmentation using m…