20 citations · 31 across the 7 of their papers we have counts for
7 papers
A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation
Chaohan Wang, Yutong Xie, Qi Chen +2
Mamba, with its selective State Space Models (SSMs), offers a more computationally efficient solution than Transformers for long-range dependency modeling. However, there is still…
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
Weiren Zhao, Feng Wang, Yanran Wang +3
Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. Wh…
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
Yutong Xie, Qi Chen, Sinuo Wang +7
Current vision-language pre-training (VLP) methodologies predominantly depend on paired image-text datasets, a resource that is challenging to acquire in radiology due to privacy c…
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye, Yutong Xie, Jianpeng Zhang +3
Self-supervised learning is an efficient pre-training method for medical image analysis. However, current research is mostly confined to specific-modality data pre-training, consum…
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset
Biao Wu, Yutong Xie, Zeyu Zhang +6
Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various factors. Identifying, localizing a…
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie, Bing Yang, Qingbiao Guan +3
Medical image segmentation plays an important role in computer-aided diagnosis. Attention mechanisms that distinguish important parts from irrelevant parts have been widely used in…
Act Like a Radiologist: Radiology Report Generation across Anatomical Regions
Qi Chen, Yutong Xie, Biao Wu +5
Automating radiology report generation can ease the reporting workload for radiologists. However, existing works focus mainly on the chest area due to the limited availability of p…