Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

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Artificial Intelligence in Fetal Echocardiography

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A novel two-stage deep learning model used to assist in diagnosing neonatal necrotizing enterocolitis and determining the need for surgical treatmentPreprint

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Smart Synergy: Harnessing Machine Learning for Advanced Nanotechnology in Healthcare

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New Applications and Perspectives in the Assessment of Fetal Heart by 3D Ultrasound

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Applications of Artificial Intelligence in the Diagnosis and Treatment of Pediatric Congenital malformations: Recent Advances

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BRM-UNet: A Novel Framework for High-Precision Fetal Heart Segmentation in Ultrasound Images

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Fetal R-peak detection using a swin transformer network with dynamic encoding and parallel decoding

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Binary Classification of Fetal Congenital Heart Diseases Using Deep Learning and Temporal Feature Integration in Echocardiographic Videos

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Enhancing Fetal Echocardiography Segmentation with YOLOv8 using Ablation Techniques on Deep Learning Backbone Layers

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S2M-Net: End-to-end Sparse Slice-to-Mesh reconstruction for fetal cardiac ultrasound anatomy

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Deep Learning in Obstetric Sonography: A Literature Review of Techniques, Applications, and Challenges

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Cross-Center Online Generalization Algorithm with Unadversarial Consistency for Fetal Heart Ultrasound View Recognition

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Confounder-Matched Deep Learning on Cardiac CT for the Diagnosis of Tetralogy of Fallot: A Proof of Concept

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Evaluating AI-assisted detection of fetal intracranial malformations in prenatal ultrasound practice: a multicentre, self-crossover, randomised controlled trial in China

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DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation

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Fetal Ultrasound Plane Classification with FetalCLIP Embeddings and Linear Classifiers

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Ultrasound Image Segmentation in Cardiovascular Disease: A Review of Techniques and Clinical Applications

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Occurrence and Antenatal Detection of Congenital Heart Malformations: Data from a Tertiary Obstetric Centre in Western Romania

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Multimodal enhancement and multiscale sparse fusion framework for congenital heart disease detection

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Deep Learning-Driven Segmentation of Fetal Heart Standard Views for Chd Screening Backbone Ablation, Clinical Validation and Robustness Analyses

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Multiview and multiclass image segmentation using deep learning in fetal echocardiography

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