Simplifying Medical Ultrasound

Chapter 1 Ultrasound Video Segmentation with Adaptive Temporal Memory

Chapter 2 An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery

Chapter 3 SonoSAM - Segment Anything on Ultrasound Images

Chapter 4 Echo from Noise: Synthetic Ultrasound Image Generation Using Diffusion Models for Real Image Segmentation

Chapter 5 Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach

Chapter 6 Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction

Chapter 7 Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos

Chapter 8 Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound

Chapter 9 Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography

Chapter 10 SimNorth: A Novel Contrastive Learning Approach for Clustering Prenatal Ultrasound Images

Chapter 11 HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay

Chapter 12 MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection

Chapter 13 GAJA - Guided self-Acquisition of Joint ultrAsound images

Chapter 14 Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction

Chapter 15 The Open Kidney Ultrasound Data Set

Chapter 16 Anatomical Landmark Detection for Initializing US and MR Image Registration

Chapter 17 Can Ultrasound Confidence Maps Predict Sonographers’ Labeling Variability?

Chapter 18 Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification

Chapter 19 Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation