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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.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
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…