Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: Using the low mechanical index (MI) contrast mode and the high MI contrast mode of contrast...
To identify and interact with moving objects, including other members of the same species, an animal...
Locating and evaluating the length and severity of a stenosis is very important for planning adequat...
We study machine learning techniques to automatically identify limb abnormalities (including fractur...
OBJECTIVE: Acoustic radiation force (ARF)-based approaches to measure tissue elasticity require tran...
Noninvasive, radiological image-based detection and stratification of Gleason patterns can impact cl...
A 60-year-old man initially presented with pain in the right upper quadrant in October 2010. A compu...
PURPOSE: Elevated thyroglobulin (Tg) levels, along with a negative radioiodine scan, present a clini...
Adequate hydration is recommended for acute ST-elevation myocardial infarction (STEMI) patients unde...
BACKGROUND: This study aimed to investigate the optimal support vector machines (SVM)-based classifi...
A novel hybrid approach for the identification of brain regions using magnetic resonance images acco...
AIMS: Peripartum cardiomyopathy (PPCM) is a major cause of acute heart failure in the peripartum per...
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosi...
Robotic percutaneous interventional systems represent the future of interventional cardiology. Robot...
BACKGROUND: A robotic arm was developed by our laboratory for tele-operated echography on patients i...
Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become ...
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to de...
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative...
PURPOSE: We propose a systematic approach to correlate MRI and digital histopathology in prostate.
Brain development is adversely affected by preterm birth. Magnetic resonance image analysis has reve...
The imaging performance of fluorescence molecular tomography (FMT) improves when information from th...