3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation
Xiaoxiang Han, Yiman Liu, Jiang Shang +6
Segmenting internal structure from echocardiography is essential for the diagnosis and treatment of various heart diseases. Semi-supervised learning shows its ability in alleviatin…
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
Xiaoxiang Han, Xinyu Li, Jiang Shang +5
Segmenting anatomical structures and lesions from ultrasound images contributes to disease assessment. Weakly supervised learning (WSL) based on sparse annotation has achieved enco…
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Yiman Liu, Qiming Huang, Xiaoxiang Han +9
Purpose: Congenital heart defect (CHD) is the most common birth defect. Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics…
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion
Xiaoxiang Han, Yang Chen, Qiaohong Liu +4
Cardiac cine magnetic resonance imaging (MRI) is one of the important means to assess cardiac functions and vascular abnormalities. Mitigating artifacts arising during image recons…