This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …

Artificial intelligence (AI) is a field of computer science that deals with the simulation of
human intelligence using machines so that such machines gain problem-solving and …

A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …

Background Deep learning reconstruction (DLR) may improve image quality. However, its
impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose …

OBJECTIVE. The objective of this study was to compare image quality and clinically
significant lesion detection on deep learning reconstruction (DLR) and iterative …

Objectives Noise, commonly encountered on computed tomography (CT) images, can
impact diagnostic accuracy. To reduce the image noise, we developed a deep-learning …

Interest for deep learning in radiology has increased tremendously in the past decade due to
the high achievable performance for various computer vision tasks such as detection …

Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with
recent breakthroughs applying deep‐learning models for data acquisition, classification …

Objective Iterative reconstruction degrades image quality. Thus, further advances in image
reconstruction are necessary to overcome some limitations of this technique in low-dose …

Many clinical applications based on deep learning and pertaining to radiology have been
proposed and studied in radiology for classification, risk assessment, segmentation tasks …