Traditional monochromatic CT scanners have served as one of the most critical medical diagnostic instruments. Recently, the development of photon-counting CT brings spectral information to the otherwise black-and-white CT ...

Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look at the entire X-ray image for classification, ...

X-ray computed tomography (CT) is a mainstay in medical imaging, playing major roles in disease diagnosis, injury evaluation, treatment planning, and response assessment. Metal implants, such as a dental filling, artificial ...

Secondly, we explore the possibility to emulate the current standardized surgical skill metric employed in the field, namely the FLS score, by combining neuroimaging data acquired during the task execution and machine ...

To achieve this goal, three tasks are conducted in this study: (1) development of Monte Carlo simulation capability for radiation field and organ dose calculations in the FGI suite; (2) characterization of the relationship ...

Medical imaging examination is the most common form of routine medical analysis, which involves several stages of reasoning and careful analysis to reach a final decision by the radiologist. Most deep learning frameworks ...