shows a comparison study has been implemented on the proposed and the original segmentation methods on T1-weighted MRI gray and white matters. However, evaluation on 4 slices of brain tissues have ...

This curiosity surrounding the complex mechanisms and relationships underpinning brain functionality has been the key force fuelling his work at the helm of magnetic resonance imaging (MRI ...

Magnetic resonance imaging (MRI) is one of the most effective technologies to assess the innermost structures of the human ...

Explore the role of preclinical MRI in studying neurological diseases, with a focus on advanced cellular and molecular ...

The Research MRI Core provides resources at UAB for state-of-the-art magnetic resonance imaging experiments and analyses for examining brain and body anatomy and function both in health and disease.

Brain injuries are a leading cause of death and long-term disability in infants. Among the most common is neonatal ...

Portable MRI (pMRI) technologies are rapidly transforming the landscape of neuroscience research, allowing neuroscientists to ...

The findings suggest that reconsideration of current clinical guidelines, which support MRI only for symptomatic brain ...

The second AI model, known as Brain MRI Enhancement foundation (BME-X), is designed to improve the overall quality of MRI ...

The posterior communicating artery (PCOM) is a part of a group of arteries in the brain known as the circle ... are usually ...

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.

Blood is supplied to the brain by two major sets of arteries ... Neuroimaging of Ischemic Stroke With CT and MRI: Advancing Towards Physiology-Based Diagnosis and Therapy - Medscape - Mar 31 ...