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Disambiguation of "Gagnon, Louis"

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Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements.

, , , , , , , , and . NeuroImage, 59 (4): 3933-3940 (2012)

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Louis Gagnon University of Stuttgart

Jean-Louis Hoslauer University of Stuttgart

 

Other publications of authors with the same name

Validation of the hypercapnic calibrated fMRI method using DOT-fMRI fusion imaging., , , , , and . NeuroImage, (2014)Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements., , , , , , , , and . NeuroImage, 59 (4): 3933-3940 (2012)Automatic Graph-Based Modeling of Brain Microvessels Captured With Two-Photon Microscopy., , , , , , and . IEEE J. Biomedical and Health Informatics, 23 (6): 2551-2562 (2019)Data for: Relying on Dynamically Morphing Blades to Increase the Efficiency of a Cycloidal Rotor, and . Dataset, (2021)Related to: Huang, D. and Gagnon, L. « Relying on Dynamically Morphing Blades to Increase the Efficiency of a Cycloidal Rotor », IOP Conf. Ser.: Mater. Sci. Eng. 1226 012014, 2022. doi: 10.1088/1757-899X/1226/1/012014.Data for: Parametric Aerodynamic Study of a 3D Printed Cycloidal Rotor Prototype Designed for the Best Figure of Merit. Dataset, (2023)Related to: Gagnon, L., Donners, L., Zimmer, F. and Keßler, M. « Parametric Aerodynamic Study of a 3D Printed Cycloidal Rotor Prototype Designed for the Best Figure of Merit », to be submitted to the Journal of AHS, 2023.Parametric Optimization of a Cyclogiro Aircraft Design for Efficient Hover with Aeroelastic Considerations, , and . Journal of applied and computational mechanics, 7 (3): 1774-1787 (2021)Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data., , , and . NeuroImage, 61 (4): 1268-1276 (2012)A Review of Particle Damping Modeling and Testing, , and . Journal of Sound and Vibration, (2019)Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling., , , , , and . NeuroImage, 56 (3): 1362-1371 (2011)Short separation channel location impacts the performance of short channel regression in NIRS., , , , , and . NeuroImage, 59 (3): 2518-2528 (2012)