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Matthew C Murphy

Showing results (1-10 of 57) with videos related to

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International Emergency Nursing|November 18, 2022
Supporting emergency department Nurse's self-Efficacy in victim identification through human trafficking education: A quality improvement projectMatthew C Murphy
Neuroimage|October 11, 2017
MR elastography of the brain and its application in neurological diseasesMatthew C Murphy, John Huston, Richard L Ehman
Brain Connectivity|October 11, 2014
Neuronal and physiological correlation to hemodynamic resting-state fluctuations in health and diseaseAlberto L Vazquez, Matthew C Murphy, Seong-Gi Kim
Journal of Magnetic Resonance Imaging : JMRI|April 21, 2023
Magnetic Resonance Elastography in the Study of Neurodegenerative DiseasesYuan Feng, Matthew C Murphy, Emi Hojo, et al.
Neuroimage|December 27, 2017
Macroscale variation in resting-state neuronal activity and connectivity assessed by simultaneous calcium imaging, hemodynamic imaging and electrophysiologyMatthew C Murphy, Kevin C Chan, Seong-Gi Kim, et al.
Magnetic Resonance in Medicine|August 2, 2013
Assessment of in vivo laser ablation using MR elastography with an inertial driverJun Chen, David A Woodrum, Kevin J Glaser, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Functional MRI of Sensory Substitution in the BlindKevin C Chan, Matthew C Murphy, Ji Won Bang, et al.
Magnetic Resonance Imaging|September 7, 2010
Analysis of time reduction methods for magnetic resonance elastography of the brainMatthew C Murphy, Kevin J Glaser, Armando Manduca, et al.
Magnetic Resonance in Medicine|December 2, 2017
Artificial neural networks for stiffness estimation in magnetic resonance elastographyMatthew C Murphy, Armando Manduca, Joshua D Trzasko, et al.
Neuroimage|May 29, 2016
Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approachMatthew C Murphy, Alexander J Poplawsky, Alberto L Vazquez, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
International Emergency Nursing|November 18, 2022
Supporting emergency department Nurse's self-Efficacy in victim identification through human trafficking education: A quality improvement projectMatthew C Murphy
Neuroimage|October 11, 2017
MR elastography of the brain and its application in neurological diseasesMatthew C Murphy, John Huston, Richard L Ehman
Brain Connectivity|October 11, 2014
Neuronal and physiological correlation to hemodynamic resting-state fluctuations in health and diseaseAlberto L Vazquez, Matthew C Murphy, Seong-Gi Kim
Journal of Magnetic Resonance Imaging : JMRI|April 21, 2023
Magnetic Resonance Elastography in the Study of Neurodegenerative DiseasesYuan Feng, Matthew C Murphy, Emi Hojo, et al.
Neuroimage|December 27, 2017
Macroscale variation in resting-state neuronal activity and connectivity assessed by simultaneous calcium imaging, hemodynamic imaging and electrophysiologyMatthew C Murphy, Kevin C Chan, Seong-Gi Kim, et al.
Magnetic Resonance in Medicine|August 2, 2013
Assessment of in vivo laser ablation using MR elastography with an inertial driverJun Chen, David A Woodrum, Kevin J Glaser, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Functional MRI of Sensory Substitution in the BlindKevin C Chan, Matthew C Murphy, Ji Won Bang, et al.
Magnetic Resonance Imaging|September 7, 2010
Analysis of time reduction methods for magnetic resonance elastography of the brainMatthew C Murphy, Kevin J Glaser, Armando Manduca, et al.
Magnetic Resonance in Medicine|December 2, 2017
Artificial neural networks for stiffness estimation in magnetic resonance elastographyMatthew C Murphy, Armando Manduca, Joshua D Trzasko, et al.
Neuroimage|May 29, 2016
Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approachMatthew C Murphy, Alexander J Poplawsky, Alberto L Vazquez, et al.
Pageof 6