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 ...

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 ...

An invasive BCI was implanted in the left visual cortex of ... reconstruction. MRI T2 and TOF image sequence data were integrated to successfully establish a 3D atlas of brain functional ...

combines multiple complementary neuroscientific methods to understand the neural response to visual stimulus complexity in the human brain across lifespan. Lalwani and colleagues provide ... The two ...

The DCGAN Brain MRI Generator project aims to generate synthetic MRI images of the brain to aid in advanced tumor detection. This can help in augmenting the dataset for training deep learning models, ...

Neuroscientists have produced the largest wiring diagram and functional map of a mammalian brain to date using tissue from a part of a mouse's cerebral cortex involved in vision, an achievement ...

joint magnetic resonance images of the EULAR–OMERACT rheumatoid arthritis MRI reference image atlas. The illustrations include synovitis in the MCP joints (OMERACT RA magnetic resonance imaging ...

This paper presents a novel two-stage approach for brain tumour segmentation in T1-weighted contrast-enhanced MRI (CE-MRI) scans, leveraging both YOLO(you only look once) and Modified U-Net. In the ...