The uncinate fasciculus is a major white matter pathway involved in memory, emotion, and language, but its microscopic ...
An Osaka Metropolitan University research team proposed a non-contact approach for characterizing post-regurgitation deep ...
Deep learning is transforming magnetic resonance vessel wall imaging, making it faster, more accurate, and easier to deploy in stroke care. New AI frameworks can automatically segment and reconstruct ...
Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non–Small Cell Lung Cancer Emerging evidence suggests ...
Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...