Manasseh, G.; Hilbert, T.; Fartaria, M.J.; Deverdun, J.; Cuadra, M.B.; Maréchal, B.; Kober, T.; Dunet, V.
Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis. Diagnostics 2024, 14, 2669.
https://doi.org/10.3390/diagnostics14232669
AMA Style
Manasseh G, Hilbert T, Fartaria MJ, Deverdun J, Cuadra MB, Maréchal B, Kober T, Dunet V.
Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis. Diagnostics. 2024; 14(23):2669.
https://doi.org/10.3390/diagnostics14232669
Chicago/Turabian Style
Manasseh, Gibran, Tom Hilbert, Mário João Fartaria, Jeremy Deverdun, Meritxell Bach Cuadra, Bénédicte Maréchal, Tobias Kober, and Vincent Dunet.
2024. "Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis" Diagnostics 14, no. 23: 2669.
https://doi.org/10.3390/diagnostics14232669
APA Style
Manasseh, G., Hilbert, T., Fartaria, M. J., Deverdun, J., Cuadra, M. B., Maréchal, B., Kober, T., & Dunet, V.
(2024). Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis. Diagnostics, 14(23), 2669.
https://doi.org/10.3390/diagnostics14232669
