Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …

The goal of this study was to evaluate the maturity of current Deep Learning classification
techniques for their application in a real maternal-fetal clinical environment. A large dataset …

Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …

In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the
diagnosis and monitoring of fetuses with a compromised cardiovascular system potentially …

It is essential to measure anatomical parameters in prenatal ultrasound images for the
growth and development of the fetus, which is highly relied on obtaining a standard plane …

We present the first system that provides real-time probe movement guidance for acquiring
standard planes in routine freehand obstetric ultrasound scanning. Such a system can …

Autonomous ultrasound (US) acquisition is an important yet challenging task, as it involves
interpretation of the highly complex and variable images and their spatial relationships. In …

Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance
imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural …