Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, Asmus 2020, and 5th International Workshop, Pi

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.