Joint and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning

D Schote, L Winter, C Kolbitsch, G Rose… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: We present a model-based image reconstruction approach based on unrolled
neural networks which corrects for image distortion and noise in low-field (50mT) MRI …

Elliptical Halbach magnet and gradient modules for low‐field portable magnetic resonance imaging

F Galve, E Pallás, T Guallart‐Naval… - NMR in …, 2024 - Wiley Online Library
This study aims to develop methods to design the complete magnetic system for a truly
portable MRI scanner for neurological and musculoskeletal (MSK) applications, optimized …

[HTML][HTML] MaRGE: A graphical environment for MaRCoS

JM Algarín, T Guallart-Naval, J Borreguero… - Journal of Magnetic …, 2024 - Elsevier
The open-source console MaRCoS, which stands for “Magnetic Resonance Control
System”, combines hardware, firmware and software elements for integral control of …

Exploring MotoGP Race Dynamics: A Machine Learning Study Using Fictional Data

MMS Graça - 2024 - search.proquest.com
Over the years, sports analytics has evolved alongside technological advancements, with
data collection becoming more efficient and dependable. This study focuses on racing …