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Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach

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Automatic Detection of Secundum Atrial Septal Defect in Children Based on Color Doppler Echocardiographic Images Using Convolutional Neural Networks

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Exploiting Vector Attention and Context Prior for Ultrasound Image Segmentation

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Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation

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An improved semantic segmentation with region proposal network for cardiac defect interpretation

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GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

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L-SSHNN: A Larger search space of Semi-Supervised Hybrid NAS Network for echocardiography segmentation

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