Latest AI and machine learning research in radiology for healthcare professionals.
The U.S. Department of Defense (USDOD) service members are at risk of exposure to ionizing radiation...
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcar...
Although the use of pet robots in senior living facilities and day-care centres, particularly for in...
Characterization of carotid plaque composition, more specifically the amount of lipid core, fibrous ...
Acoustic Cluster Therapy (ACT) represents a novel concept for targeted drug delivery. Ultrasound is ...
Piceid, a naturally occurring derivative of resveratrol found in many plants, has recently been cons...
Background There are limited data regarding the risks of cardiac surgery early after coronary angiog...
Perirectal space segmentation in computed tomography images aids in quantifying radiation dose recei...
In this study, polysaccharides from Angelica sinensis were extracted using the ultrasound-assisted e...
OBJECTIVE: This paper describes an ultrasound image navigation robotic prostate brachytherapy system...
Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPEC...
OBJECTIVE: Conventional mammogram enhancement methods use transform-domain filtering, which possibly...
Purpose To demonstrate the feasibility of contrast material-enhanced ulrasonographic (US) nephrostog...
The objective of this pilot study was to test the feasibility of automating the detection of abdomin...
Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease, with large variation in ...
Iron overload is one of the major prognostic factor in thallassemia patients. We aimed to evaluate i...
An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to iden...
In this paper we have proposed an iterative Fuzzy C-Mean (IFCM) method which divides the pixels pres...
We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) ...
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is st...
Automated pancreas segmentation in medical images is a prerequisite for many clinical applications, ...