activity
20222024
most citedEDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography

20 citations · 49 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

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…

eess.IV2024★ 3 cited

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…

eess.IV2023★ 3 cited

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…

eess.IV2023★ 5 cited

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…

eess.IV2023★ 20 cited

EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography

Yiman Liu, Xiaoxiang Han, Tongtong Liang +7

This paper introduces the Efficient Decoupled Masked Autoencoder (EDMAE), a novel self-supervised method for recognizing standard views in pediatric echocardiography. EDMAE introdu…

cs.CV2022★ 18 cited

LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images

Xiaoxiang Han, Yiman Liu, Gang Liu +2

Semantic segmentation for extracting buildings and roads from uncrewed aerial vehicle (UAV) remote sensing images by deep learning becomes a more efficient and convenient method th…