4 citations · 5 across the 5 of their papers we have counts for
5 papers
FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation
Jiawei Liu, Zhijiang Wan, Junhua Hu +5
Accurate segmentation of carotid arteries in ultrasound imaging is critical for stroke risk assessment. However, speckle noise, low contrast, and blurred boundaries remain major ch…
ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
Xianye Xiao, Yulong Zou, Yujie Luo +6
In abdominal CT imaging, developing a low-dose, no-reference image quality assessment (No-reference IQA) model that mimics doctors' reading habits for evaluating CT image quality h…
MGML: A Plug-and-Play Meta-Guided Multi-Modal Learning Framework for Incomplete Multimodal Brain Tumor Segmentation
Yulong Zou, Bo Liu, Cun-Jing Zheng +6
Leveraging multimodal information from Magnetic Resonance Imaging (MRI) plays a vital role in lesion segmentation, especially for brain tumors. However, in clinical practice, multi…
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
Bo Liu, Yudong Zhang, Shuihua Wang +2
Retinal vascular morphology is crucial for diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of retinal vessels essential for early int…
Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis
Qiankun Zuo, Hao Tian, Chi-Man Pun +3
Effective connectivity can describe the causal patterns among brain regions. These patterns have the potential to reveal the pathological mechanism and promote early diagnosis and…