The following is a summary of “Limited added value of systematic spinal cord MRI vs brain MRI alone to classify patients with MS as active or inactive during follow-up,” published in the April 2025 ...

Brain imaging refers to the usually non-invasive or minimally invasive techniques that enable imaging the structure or function of the brain. Brain imaging techniques take advantage of X-rays ...

A trial found magnetic resonance imaging correlated with physical function tests in patients with Duchenne muscular dystrophy. Magnetic resonance imaging (MRI) appears to be able to meaningfully track ...

A novel cannula delivery system has been developed to enhance multiphoton microscopy by enabling the direct administration of imaging agents and drugs to the brain, bypassing the blood-brain barrier.

My semester project for "Computer Vision and Image Processing" subject. This project uses Machine Learning techniques to classify brain tumors from MRI scans. I used OpenCV for image processing and ...

DL has also been widely used to support the analysis of medical images, which can include the classification, detection/localization ... on magnetic resonance imaging (MRI) data for image ...

It's about the same as having 80 dental X-rays, but far less than imaging done during a nuclear cardiac stress test or a computed tomography scan of your abdomen. There is also concern over health ...

This project utilizes a Deep Convolutional Generative Adversarial Network (DCGAN) to generate synthetic MRI images of the brain. The generated images can be used for various purposes, including ...

Cubresa’s NuPET™ is a revolutionary in-bore PET scanner that inserts into existing MRI instruments to create a powerful and flexible hybrid preclinical in vivo imaging platform that combines ...