Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

The increasing popularity of attention mechanisms in deep learning algorithms for computer
vision and natural language processing made these models attractive to other research …

Deep learning methodologies constitute nowadays the main approach for medical image
analysis and disease prediction. Large annotated databases are necessary for develo** …

Stroke, categorized under cardiovascular and circulatory diseases, is considered the second
foremost cause of death worldwide, causing approximately 11% of deaths annually. Stroke …

Highly realistic imaging and video synthesis have become possible and relatively simple
tasks with the rapid growth of generative adversarial networks (GANs). GAN-related …

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …

The combination of medical imaging and deep learning has significantly improved
diagnostic and prognostic capabilities in the healthcare domain. Nevertheless, the inherent …

Detecting pneumonia, especially coronavirus disease 2019 (COVID-19), from chest X-ray
(CXR) images is one of the most effective ways for disease diagnosis and patient triage. The …

Abstract Conventional Computed Tomography (CT) imaging recognition faces two
significant challenges:(1) There is often considerable variability in the resolution and size of …

Manual analysis and diagnosis of COVID-19 through the examination of Computed
Tomography (CT) images of the lungs can be time-consuming and result in errors especially …