This study provides a method for segmenting sub-areas of brain tumors using a ResU-Net model. The proposed model is effective combines encoding residual blocks using attribution mapping the U-Net ...

These 3D model brains with cells from several people are first of their kind Yet the brain is more than a patchwork of interconnected structures, stuck together like Lego bricks. It is a dynamic ...

Abstract: Foundational models have significant potential to advance brain function research, particularly in understanding the dynamics of brain states. However, most existing models process brain ...

Participants will discover how high-order interactions and whole-brain models are transforming our understanding of clinical and cognitive domains, with a particular focus on aging, neurodegeneration, ...

BIRMINGHAM, Ala (WIAT) – Traumatic brain injury research faces significant funding cuts nationwide – including ... “Alabama is very fortunate to be one of really a few number of sites in the nation ...

However, challenges remain in effectively comparing the representational spaces of artificial models and brain data, particularly due to the growing variety of models and the specific demands of ...

MIT CSAIL researchers have introduced linear oscillatory state-space models (LinOSS), inspired by neural oscillations in the brain, to enhance machine learning’s ability to handle long data sequences.

This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...

The tool, the Duke Mouse Brain Atlas, combines microscopic resolution, three-dimensional images from three different techniques to create a detailed map of the entire mouse brain, from large ...

Researchers have created a hairlike device for long-term, non-invasive monitoring of the brain's electrical activity ... a strand of hair and is made from 3D-printed hydrogel material.