Background With the advent of deep learning in modern computing there has been
unprecedented progress in image processing and segmentation. Deep learning-based …

Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …

Deep learning-based super-resolution (SR) techniques have generally achieved excellent
performance in the computer vision field. Recently, it has been proven that three …

Computed Tomography (CT) scanners that are commonly-used in hospitals and medical
centers nowadays produce low-resolution images, eg one voxel in the image corresponds to …

We propose a novel approach for hyperspectral super-resolution, that is based on low-rank
tensor approximation for a coupled low-rank multilinear (Tucker) model. We show that the …

Cone beam CT (CBCT) for dentomaxillofacial paediatric assessment has been widely used
despite the uncertainties of the risks of the low-dose radiation exposures. The aim of this …

Deep learning-based methods have achieved remarkable performance in single image
super-resolution. However, these methods cannot be effectively applied in stereoscopic …

Restoring the normal masticatory function of broken teeth is a challenging task primarily due
to the defect location and size of a patient's teeth. In recent years, although some …

Periapical Radiographs are commonly used to detect several anomalies, like caries,
periodontal, and periapical diseases. Even considering that digital imaging systems used …

Artificial intelligence and deep learning algorithms are infiltrating various fields of medicine
and dentistry. The purpose of the current study was to review literatures applying deep …