Microwave seminar | 10 July 2025

 
Denis Burov
University of L'Aquila / STELAR s.r.l.
Fast Field Cycling Relaxometry (FFC-NMR)
Abstract



Anoardo, E., Galli, G., & Ferrante, G. (2001). Fast-field-cycling NMR: Applications and instrumentation. Appl. Magn. Reson., 20(3), 365–404. doi: 10.1007/BF03162287

 
Dr. David Bendahan
Aix Marseille University
Importance of neural network complexity for the AI-based automatic segmentation of individual muscles in MRI images from patients with neuromuscular diseases
Abstract

Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases
MAGMA. 2025 Apr;38(2):175-189. doi: 10.1007/s10334-024-01221-3. Epub 2025 Jan 11. PMID: 39798067 DOI: 10.1007/s10334-024-01221-3

Overview of MR Image Segmentation Strategies in Neuromuscular Disorders.
Ogier AC, Hostin MA, Bellemare ME, Bendahan D. Front Neurol. 2021 Mar 25;12:625308. doi: 10.3389/fneur.2021.625308. eCollection 2021. PMID: 33841299

The Impact of Fatty Infiltration on MRI Segmentation of Lower Limb Muscles in Neuromuscular disorders
Marc-Adrien Hostin 1 2 , Augustin C Ogier 2 3 , Constance P Michel 1 , Yann Le Fur 1 , Maxime Guye 4 , Shahram Attarian 5 , Etienne Fortanier 5 , Marc-Emmanuel Bellemare 2 , David Bendahan 1
J Magn Reson Imaging 2023 Dec;58(6):1826-1835. doi: 10.1002/jmri.28708. Epub 2023 Apr 6.r Diseases: A Comparative Study of Deep Learning Approaches