Microwave seminar | 10 July 2025
begins at
10 July 2025
4:00 PM (GMT +03:00)
location:
Birzhevaya 4 + Online
Ru
Denis Burov
University of L'Aquila / STELAR s.r.l.
Fast Field Cycling Relaxometry (FFC-NMR)
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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
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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