To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...

A novel MRI-based ‘aging’ clock may offer a simple way to identify patients whose biological age is outpacing their ...

The convolutional neural networks (CNN) have shown promising results for various classification problems over the past years. However, selecting various CNN architectures is still challenging as each ...

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...

Occasionally, MRI would demonstrate microhemorrhages, which were felt to be diffuse axonal injury, but of unclear clinical significance. In the majority of cases, however, not even ...

Researchers at the University of Illinois Urbana-Champaign have developed a fast, noninvasive MRI method to map whole-brain metabolism. The technique identifies early biochemical changes in the brain.

The superior imaging quality of 7T MRI enables detailed visualization of the brain’s structures, changes in blood flow and tissue blood supply, vascular and microvascular status, as well as tissue ...

Our work suggested a potential association between brain ischemic lesion pattern on MR images and underlying AF. Furthermore, with additional validation, the AI model we developed may serve as a rapid ...

Self-supervised learning (SSL) has been proposed to alleviate neural networks’ reliance on annotated data and to improve downstream tasks’ performance, which has obtained substantial success in ...

Objective To investigate detection ability and feasibility of serial cranial ultrasonography (CUS) and early MRI in preterm brain injury. Design Prospective cohort study. Setting Level III neonatal ...

(2) An Auto-EEG-Brain AGE prediction model based on the Gate Recurrent Unit (GRU) neural network method was constructed. (3) Using the constructed model, we evaluated the difference between the brain ...