Researchers at McMaster University, Cleveland Clinic and Case Comprehensive Cancer Center have uncovered how a protein long ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Illinois engineers fused ultrafast imaging with smart algorithms to peek at living brain chemistry, turning routine MRIs into ...

This is an important study that combines replications of findings and novel detailed MRI investigations to assess the impact of environmental enrichment and maternal behavior on mice brain structure ...

A novel image segmentation approach by exploring one-class support vector machine (SVM) has been developed for the extraction of brain tumor from magnetic resonance (MR) images. Based on one-class SVM ...

A brain bleed and subsequent brain surgery many decades ago may have led to cognitive impairment in the former president.

Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images. Neurocomputing. (2015) 151:139–50. doi: ...

The detection, segmentation, and extraction from Magnetic Resonance Imaging (MRI) images of contaminated tumor areas are significant concerns; however, a repetitive and extensive task executed by ...

There is a particular medical need for new treatment options for neurovascular and neurological disorders, and gene therapy represents a promising approach to address this need (Nagabhushan Kalburgi ...