Researchers have developed an artificial intelligence method that can uncover previously hidden signs of multiple sclerosis in routine MRI scans.

AI-enhanced analysis of conventional MRI scans reveals thousands of hidden cortical lesions in multiple sclerosis, potentially opening a new window into disease progression.

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...

Abstract: Multiples propagate along longer paths than primaries and have been incorporated into reverse time migration (RTM) to enhance subsurface illumination. However, RTM of multiples often suffers ...

This repo is the official implementation of "Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency" (ICML 2026). It includes code and configurations for ...

We got to go hands-on with Chapters Five and Six of Resonance: A Plague Tale Legacy, set for PS5 release on August 27, 2026, and were rather impressed to say the least with what we saw. Resonance: A ...

bHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center and Case Western Reserve University School of Medicine, Cleveland, Ohio, USA ...

Abstract: Two beam broadening methods for active electronically scanned array (AESA) antennas with uniform amplitude excitation are proposed and compared: phase tapering optimization (PTO) and a novel ...

There are potential risks in the MR environment, not only for the patient but also for the accompanying healthcare professionals. The MRI screening process, when performed properly, ensures ...