Latest AI and machine learning research in radiology for healthcare professionals.
Patients with initially uncomplicated typeB aortic dissection (uTBAD) remain at high risk for develo...
An Automatic deep learning semantic segmentation (ADLS) using DeepLab-v3-plus technique is proposed ...
Modeling the rich, dynamic spatiotemporal variations captured by human brain functional magnetic res...
Ultrasound (US) imaging is a widely used clinical technique that requires extensive training to use ...
In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ...
In this work, we develop a patch-level training approach and a task-driven intensity-based augmentat...
The dark-rim artifact (DRA) remains an important challenge in the routine clinical use of first-pass...
INTRODUCTION: The possibility of low-dose positron emission tomography (PET) imaging using high sens...
Ultrasound (US) imaging is widely used to assist in the diagnosis and intervention of the spine, but...
The robotic-assisted percutaneous coronary intervention is an emerging technology with great potenti...
Functional medical imaging systems can provide insights into brain activity during various tasks, bu...
Application of flexible robotic systems and teleoperated control recently used in minimally invasive...
PURPOSE: The molecular subtype of breast cancer is an important component of establishing the approp...
There is much interest in anthropometric-derived head-related transfer functions (HRTFs) for simulat...
Chronic liver diseases (CLDs) are becoming increasingly more prevalent in modern society. The use of...
The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling effor...
To investigate the image quality of coronary CT angiography (CCTA) subjected to deep learning-based...
In the longstanding pursuit of improving alignment and functional outcome in knee arthroplasty, tech...
BACKGROUND: Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosi...
The COVID-19 pandemic has challenged institutions' diagnostic processes worldwide. The aim of this s...
This study's aim was to assess whether deep learning image reconstruction (DLIR) techniques are non-...