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.

Intensity group clustering algorithms are proposed to achieve further diagnosis for brain MRI, which has been hardly ... that capture the deformations in anatomy, it makes the segmentation task ...

Magnetic Resonance Imaging (MRI) is a non-invasive technology used by researchers to study brain anatomy and function. MRI uses a strong magnetic field and radio waves to measure signals emitted by ...

To identify and follow blood vessel-related changes in the brain that contribute to cognitive impairment and dementia, researchers and clinicians typically rely on MRI to evaluate 'downstream' ...

Researchers at the Yale School of Medicine found structural and functional alterations in specific brain regions of ...

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

Utilises imaging methods like MRI (Magnetic Resonance Imaging) and CT (Computed Tomography) scans to create detailed images ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

AI models can already find brain tumors in MRI images almost as well as a human radiologist. Researchers have made sustained progress in artificial intelligence (AI) for use in medicine.

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 ...