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Mohammad Daneshzand

Showing results (1-10 of 27) with videos related to

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Computational Intelligence and Neuroscience|October 24, 2017
Hyperbolic Modeling of Subthalamic Nucleus Cells to Investigate the Effect of Dopamine DepletionMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Plos One|November 21, 2018
Robust desynchronization of Parkinson's disease pathological oscillations by frequency modulation of delayed feedback deep brain stimulationMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Neural Regeneration Research|April 7, 2018
Towards frequency adaptation for delayed feedback deep brain stimulationsMohammad Daneshzand, Miad Faezipour, Buket D Barkana
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
Delayed Feedback Frequency Adjustment for Deep Brain Stimulation of Subthalamic Nucleus OscillationsMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Frontiers in Computational Neuroscience|August 30, 2017
Computational Stimulation of the Basal Ganglia Neurons with Cost Effective Delayed Gaussian WaveformsMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Medrxiv : the Preprint Server for Health Sciences|July 29, 2024
Robust deep learning estimation of cortical bone porosity from MR T1-weighted images for individualized transcranial focused ultrasound planningMatthieu Dagommer, Mohammad Daneshzand, Aapo Nummemnaa, et al.
Journal of Neural Engineering|April 3, 2020
A software toolkit for TMS electric-field modeling with boundary element fast multipole method: an efficient MATLAB implementationSergey N Makarov, William A Wartman, Mohammad Daneshzand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Fast Individualized High-resolution Electric Field Modeling for Computational TMS NeuronavigationMohammad Daneshzand, Sergey N Makarov, Lucia I Navarro de Lara, et al.
Nature. Mental Health|November 20, 2023
Network-specific metabolic and haemodynamic effects elicited by non-invasive brain stimulationMark C Eldaief, Stephanie McMains, David Izquierdo-Garcia, et al.
Brain Stimulation|August 2, 2024
Model-based navigation of transcranial focused ultrasound neuromodulation in humans: Application to targeting the amygdala and thalamusMohammad Daneshzand, Bastien Guerin, Parker Kotlarz, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Computational Intelligence and Neuroscience|October 24, 2017
Hyperbolic Modeling of Subthalamic Nucleus Cells to Investigate the Effect of Dopamine DepletionMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Plos One|November 21, 2018
Robust desynchronization of Parkinson's disease pathological oscillations by frequency modulation of delayed feedback deep brain stimulationMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Neural Regeneration Research|April 7, 2018
Towards frequency adaptation for delayed feedback deep brain stimulationsMohammad Daneshzand, Miad Faezipour, Buket D Barkana
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
Delayed Feedback Frequency Adjustment for Deep Brain Stimulation of Subthalamic Nucleus OscillationsMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Frontiers in Computational Neuroscience|August 30, 2017
Computational Stimulation of the Basal Ganglia Neurons with Cost Effective Delayed Gaussian WaveformsMohammad Daneshzand, Miad Faezipour, Buket D Barkana
Medrxiv : the Preprint Server for Health Sciences|July 29, 2024
Robust deep learning estimation of cortical bone porosity from MR T1-weighted images for individualized transcranial focused ultrasound planningMatthieu Dagommer, Mohammad Daneshzand, Aapo Nummemnaa, et al.
Journal of Neural Engineering|April 3, 2020
A software toolkit for TMS electric-field modeling with boundary element fast multipole method: an efficient MATLAB implementationSergey N Makarov, William A Wartman, Mohammad Daneshzand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Fast Individualized High-resolution Electric Field Modeling for Computational TMS NeuronavigationMohammad Daneshzand, Sergey N Makarov, Lucia I Navarro de Lara, et al.
Nature. Mental Health|November 20, 2023
Network-specific metabolic and haemodynamic effects elicited by non-invasive brain stimulationMark C Eldaief, Stephanie McMains, David Izquierdo-Garcia, et al.
Brain Stimulation|August 2, 2024
Model-based navigation of transcranial focused ultrasound neuromodulation in humans: Application to targeting the amygdala and thalamusMohammad Daneshzand, Bastien Guerin, Parker Kotlarz, et al.
Pageof 3