Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis
Calibrated Bayesian neural networks to estimate gestational age and its uncertainty on fetal brain ultrasound images
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis
Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks
Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasound Image Segmentation
A Curriculum Learning Based Approach to Captioning Ultrasound Images
Deep Image Translation for Enhancing Simulated Ultrasound Images
Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction
Augmented Reality-Based Lung Ultrasound Scanning Guidance
Multimodality Biomedical Image Registration using Free Point Transformer Networks
Label Efficient Localization of Fetal Brain Biometry Planes In Ultrasound Through Metric Learning
Automatic C-plane detection in pelvic oor transperineal volumetric ultrasound
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
Dual-Robotic Ultrasound System for In Vivo Prostate Tomography
IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G
Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking
Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion
3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network
Atlas-based segmentation of the human embryo using deep learning with minimal supervision
Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI
A Smartphone-based System for Real-time Early Childhood Caries Diagnosis
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
Harmonised segmentation of neonatal brain MRI: a domain adaptation approach
A multi-task approach using positional information for ultrasound placenta segmentation
Spontaneous preterm birth prediction using convolutional neural networks
Multi-Modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images
Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels
Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions
Brain volume and neuropsychological differences in extremely preterm adolescents
Automatic Detection of Neonatal Brain Injury on MRI
Unbiased atlas construction for neonatal cortical surfaces via unsupervised learning.