Latest AI and machine learning research in radiology for healthcare professionals.
Inflammation of the long head of the biceps tendon is a common cause of shoulder pain. Bicipital per...
OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the inform...
AIM: To explore the value of quantitative texture analysis of conventional magnetic resonance imagin...
Modern imaging processes, with CT and MRI diagnostics among them, play an increasingly important rol...
PURPOSE: Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) aft...
Carpal tunnel syndrome (CTS) is a clinical disease that caused by the compression of median nerve wi...
Autism Spectrum Disorder (ASD) is a brain disorder that is typically characterized by deficits in so...
Full-field optical coherence tomography (FF-OCT) has been reported with its label-free subcellular i...
Limited physical access to target organs of patients inside an MRI scanner is a major obstruction to...
PURPOSE: Arterial spin labeling (ASL) perfusion MRI is a noninvasive technique for measuring cerebra...
PURPOSE: To automatically detect and classify the lesions of diabetic retinopathy (DR) in fundus flu...
AIMS: Identification, a priori, of those at high risk of progression from pre-diabetes to diabetes m...
Tracer kinetic modelling, based on dynamic F-fluorodeoxyglucose (FDG) positron emission tomography (...
BACKGROUND: Advances in image reconstruction are necessary to decrease radiation exposure from coron...
In recent years, there are several cost-effective intelligent sensing systems such as ultrasound ima...
BACKGROUND AND OBJECTIVE: Segmentation is a crucial step in multiple biomechanics and orthopedics ap...
Cardiac magnetic resonance imaging (MRI) provides a wealth of imaging biomarkers for cardiovascular ...
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angi...
The parcellation of the human cortex into meaningful anatomical units is a common step of various ne...
Our purpose was to assess the performance of full-dose (FD) PET image synthesis in both image and si...
PURPOSE: To present a novel method, based on convolutional neural networks (CNN), to automate weight...