Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Ghosh, A. and Kole, A. (2023) A Comparative Study of Enhanced Machine Learning Algorithms for Brain Tumor Detection and Classification. Preprints.

To convert these into higher quality images, the scientists trained a machine learning algorithm with images taken of brain slices (ex vivo) derived from the same type of genetically altered mice.

If you wanted to have AI reconstruct images from your brain scans, you would have to train a custom model—and for that, scientists would need troves of high-quality fMRI data from your brain.

Brainchip has introduced a new generation of its unique, bio-inspired Akida line of licensable, configurable neural processing IP.

Keywords: cerebral vessel extraction, biomedial image analysis, image accquisition, machine learning, deep learning, neuroimaging, neurovascular complex, brain vessels Citation: Qin B, Chen S-L, Miao ...