Pediatric Echocardiography

Artificial Intelligence-Based Training System for Standardized Scanning of Pediatric Cardiac Ultrasound Standard Views
Research Project of Pediatric Medical Consortium at Shanghai Children’s Medical Center, Affiliated with Shanghai Jiao Tong University School of Medicine.
Artificial Intelligence-Based Training System for Standardized Scanning of Pediatric Cardiac Ultrasound Standard Views
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography
An efficient decoupled masked autoencoder (EDMAE), which is a novel self-supervised method is proposed for standard view recognition in …
Aug 1, 2023 Echocardiography
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EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography
Deep Learning for Automatic Intelligent Identification of Pediatric Echocardiography Standard Views
Objective: To explore the feasibility and accuracy of deep learning in automatic identification of standard views of pediatric …
Jul 31, 2023 Echocardiography
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Deep Learning for Automatic Intelligent Identification of Pediatric Echocardiography Standard Views
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Purpose: Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac …
Jun 6, 2023 Pediatric Echocardiography
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Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning