Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …

A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging,
offering unprecedented opportunities for the diagnosis and treatment of neurological …

Alzheimer's Disease (AD) is a significant cause of dementia worldwide, and its progression
from mild to severe affects an individual's ability to perform daily activities independently …

An automated Neurological Disorder detection system can be considered as a cost-effective
and resource efficient tool for medical and healthcare applications. In automated …

Neurological disorders are the second cause of death and the leading cause of disability
worldwide. Unfortunately, no cure exists for these disorders, but the actual therapies are only …

In this contribution, we investigate coherence resonance in map-based neural models in the
presence of Lévy noise. The impact of different parameters of Lévy noise on the oscillatory …

Innovative technologies such as Artificial Intelligence (AI), deep learning, Machine learning
and optogenetics have been considered key components in the contribution to the …

Neurodegenerative disorders are devastating disorders characterized by gradual loss of
neurons and cognition or mobility impairment. The common pathological features of these …