Abstract: In the medical domain, MRI (Magnetic Resonance Imaging) and CT (Computed Tomography) reveal information about the structure and soft tissues of the brain which is helpful for tumor and ...

A deep learning project for binary classification of brain MRI images (tumor vs. no tumor) using Convolutional Neural Networks (CNN). BrainMRIDataSet/ ├── data/ │ ├── raw/ │ │ ├── no_tumor/ # Healthy ...

With a new MRI technique that shows both heart tissue and blood flow simultaneously, physicians can see where heart defects occur and precisely plan to repair them, according to new research.

In a proof-of-concept study, researchers from the Keck School of Medicine of USC and the California Institute of Technology (Caltech) have shown that an innovative, noninvasive technique can be used ...

Lab-grown “reductionist replicas” of the human brain are helping scientists understand fetal development and cognitive disorders, including autism. But ethical questions loom. Brain organoids, which ...

Summary: A new AI-powered atlas called NextBrain allows researchers to visualize the human brain in unprecedented detail, down to hundreds of tiny subregions previously invisible on MRI scans. Built ...

Study in a Sentence: Scientists took thousands of microscopic images of human brain slices and used AI to create a publicly available, exceptionally detailed 3D brain map that can be used to ...

The Voxel-based Specific Regional Analysis System for Alzheimer’s Disease (VSRAD), a voxel-based morphometry tool quantifying medial temporal lobe atrophy as region-specific Z-scores, is widely used ...

An international consortium developed and validated a standardised framework for assessing brain MRI patterns in patients with COVID-19 and neurologic symptoms, successfully capturing 94% of imaging ...

This article by G. Allan Johnson, Ph.D., focuses on advanced MRI techniques for studying neurodegenerative diseases, exploring the challenges of screening therapies for conditions like Alzheimer’s and ...