IEEE

MRI Image Reconstruction Using Adaptive Sampling and Diffusion Models

Abstract: Efficient image sampling is essential for balancing acquisition speed, resolution, and computational cost in computer vision. Insufficiently sampled data often leads to quality degradation ...
IEEE

An Unsupervised Learning Approach for Reconstructing 3T-Like Images From 0.3T MRI Without Paired Training Data

Abstract: Magnetic resonance imaging (MRI) is powerful in medical diagnostics, yet high-field MRI, despite offering superior image quality, incurs significant costs for procurement, installation, ...
Medical Xpress

MRI antenna can boost image quality and shorten scan times—without changing existing machines

Magnetic resonance imaging (MRI) is one of medicine's most powerful diagnostic tools. But certain tissues deep inside the body—including brain regions and delicate structures of the eye and orbit that ...
tyla

Disturbing images explain why we don’t MRI pregnant women

In what is probably the creepiest image on the internet comes a lesson as to why we don’t make pregnant women go through a magnetic resonance imaging (MRI) machine. You might have seen a few pictures ...
GitHub

Deep Learning Based Brain Tumor Detection

Deep Learning Based Brain Tumor Detection Using MRI Images is a system that detects tumors from MRI scans using image preprocessing, segmentation, and a Convolutional Neural Network (CNN). It ...