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G Schalk

Showing results (11-20 of 26) with videos related to

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Brain Computer Interfaces (Abingdon, England)|March 8, 2016
Identifying the Attended Speaker Using Electrocorticographic (ECoG) SignalsK Dijkstra, P Brunner, A Gunduz, et al.
Ultrasound in Medicine & Biology|February 4, 2018
3-D Quantitative Dynamic Contrast Ultrasound for Prostate Cancer LocalizationStefan G Schalk, Jing Huang, Jia Li, et al.
Journal of Neural Engineering|January 24, 2018
Real-time detection and discrimination of visual perception using electrocorticographic signalsC Kapeller, H Ogawa, G Schalk, et al.
Neurology|May 25, 2005
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interfaceA Kübler, F Nijboer, J Mellinger, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|October 21, 2018
Passive functional mapping of receptive language areas using electrocorticographic signalsJ R Swift, W G Coon, C Guger, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 10, 2015
3D surface-based registration of ultrasound and histology in prostate cancer imagingStefan G Schalk, Arnoud Postema, Tamerlan A Saidov, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|May 13, 2015
4-D spatiotemporal analysis of ultrasound contrast agent dispersion for prostate cancer localization: a feasibility studyStefan G Schalk, Libertario Demi, Martijn Smeenge, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate CancerR R Wildeboer, R J G Van Sloun, S G Schalk, et al.
Journal of Neural Engineering|September 18, 2007
Decoding two-dimensional movement trajectories using electrocorticographic signals in humansG Schalk, J Kubánek, K J Miller, et al.
Journal of Neural Engineering|March 4, 2008
Two-dimensional movement control using electrocorticographic signals in humansG Schalk, K J Miller, N R Anderson, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Brain Computer Interfaces (Abingdon, England)|March 8, 2016
Identifying the Attended Speaker Using Electrocorticographic (ECoG) SignalsK Dijkstra, P Brunner, A Gunduz, et al.
Ultrasound in Medicine & Biology|February 4, 2018
3-D Quantitative Dynamic Contrast Ultrasound for Prostate Cancer LocalizationStefan G Schalk, Jing Huang, Jia Li, et al.
Journal of Neural Engineering|January 24, 2018
Real-time detection and discrimination of visual perception using electrocorticographic signalsC Kapeller, H Ogawa, G Schalk, et al.
Neurology|May 25, 2005
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interfaceA Kübler, F Nijboer, J Mellinger, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|October 21, 2018
Passive functional mapping of receptive language areas using electrocorticographic signalsJ R Swift, W G Coon, C Guger, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 10, 2015
3D surface-based registration of ultrasound and histology in prostate cancer imagingStefan G Schalk, Arnoud Postema, Tamerlan A Saidov, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|May 13, 2015
4-D spatiotemporal analysis of ultrasound contrast agent dispersion for prostate cancer localization: a feasibility studyStefan G Schalk, Libertario Demi, Martijn Smeenge, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate CancerR R Wildeboer, R J G Van Sloun, S G Schalk, et al.
Journal of Neural Engineering|September 18, 2007
Decoding two-dimensional movement trajectories using electrocorticographic signals in humansG Schalk, J Kubánek, K J Miller, et al.
Journal of Neural Engineering|March 4, 2008
Two-dimensional movement control using electrocorticographic signals in humansG Schalk, K J Miller, N R Anderson, et al.
Pageof 3