Latest AI and machine learning research in radiology for healthcare professionals.
Bisphosphonates (BPs) are the most widely used drugs to treat osteoporosis. However, recent reports ...
A woman in her 60s was evaluated for anterior chest pain. Computed tomography (CT) revealed a 50 mm ...
Several neurobiological factors have been found to correlate with functional recovery after brain le...
A wide interest has been observed in the medical health care applications that interpret neuroimagin...
The focus of this paper is diagnosing and differentiating Astrocytomas in MRI scans by developing an...
BACKGROUND: Trans-oesophageal echocardiography (TOE) has been widely utilized for cardiac disease di...
The classification of abnormalities in ultrasound images is the monitoring tool of fluid to air pass...
The objective of this study is to examine the potential value of using machine learning techniques s...
PURPOSE: To constrain the risk of severe toxicity in radiotherapy and radiosurgery, precise volume d...
The tongue is a critical organ for a variety of functions, including swallowing, respiration, and sp...
Sparse representations classification (SRC) is a powerful technique for pixelwise classification of ...
Automated feature extraction from medical images is an important task in imaging informatics. We des...
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomog...
Needle entry site localization remains a challenge for procedures that involve lumbar puncture, for ...
PURPOSE: This research is situated in the context of breast cancer detection where the standard proc...
In therapeutic ultrasound applications, accurate ultrasound output intensities are crucial because t...
OBJECTIVE: The purpose of this study is to evaluate the ability of machine learning to discriminate ...
In this paper we present a compressed sensing (CS) method adapted to 3D ultrasound imaging (US). In ...
In this paper we present a group-wise non-rigid registration/mosaicing algorithm based on block-matc...
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most com...
Computer-aided diagnosis (CAD) systems have been proposed to assist radiologists in making diagnosti...