Back-projection cortical potential imaging: A sensitivity study

2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS) ◽

10.1109/comcas.2017.8244801 ◽

2017 ◽

Author(s):

Dror Haor ◽

Reuven Shavit ◽

Ziv Peremen ◽

Yaki Stern ◽

Amir Geva

Keyword(s):

Sensitivity Study ◽

Cortical Potential ◽

Back Projection ◽

Cortical Potential Imaging

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Improved Back-Projection Cortical Potential Imaging by Multi-resolution Optimization Technique

Brain Topography ◽

10.1007/s10548-018-0668-1 ◽

2018 ◽

Vol 32 (1) ◽

pp. 66-79

Author(s):

Dror Haor ◽

Roman Joffe ◽

Reuven Shavit ◽

Ziv Peremen ◽

Yaki Stern ◽

...

Keyword(s):

Optimization Technique ◽

Cortical Potential ◽

Back Projection ◽

Cortical Potential Imaging

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Back-Projection Cortical Potential Imaging Using a Multi-Resolution Optimization Algorithm

2018 International Conference on Electromagnetics in Advanced Applications (ICEAA) ◽

10.1109/iceaa.2018.8520475 ◽

2018 ◽

Author(s):

Dror Haor ◽

Roman Joffe ◽

Reuven Shavit ◽

Amir Geva

Keyword(s):

Optimization Algorithm ◽

Cortical Potential ◽

Back Projection ◽

Cortical Potential Imaging

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Back-Projection Cortical Potential Imaging: Theory and Results

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2017.2679756 ◽

2017 ◽

Vol 36 (7) ◽

pp. 1583-1595 ◽

Author(s):

Dror Haor ◽

Reuven Shavit ◽

Moshe Shapiro ◽

Amir B. Geva

Keyword(s):

Cortical Potential ◽

Back Projection ◽

Imaging Theory ◽

Cortical Potential Imaging

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A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method

10.1016/j.neuroimage.2006.02.027 ◽

2006 ◽

Vol 31 (4) ◽

pp. 1513-1524 ◽

Author(s):

Yingchun Zhang ◽

Lei Ding ◽

Wim van Drongelen ◽

Kurt Hecox ◽

David M. Frim ◽

...

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Imaging Study ◽

Cortical Potential ◽

The Finite Element Method ◽

Cortical Potential Imaging ◽

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Cortical Potential Imaging of Movement-Related Potentials using Parametric Wiener Filter in Realistic-Shaped Head Model

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.259801 ◽

2006 ◽

Author(s):

Junichi Hori ◽

Bin He

Keyword(s):

Wiener Filter ◽

Cortical Potential ◽

Related Potentials ◽

Cortical Potential Imaging

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Boundary Element Method-Based Cortical Potential Imaging of Somatosensory Evoked Potentials Using Subjects' Magnetic Resonance Images

10.1006/nimg.2002.1127 ◽

2002 ◽

Vol 16 (3) ◽

pp. 564-576 ◽

Author(s):

B. He ◽

X. Zhang ◽

J. Lian ◽

H. Sasaki ◽

D. Wu ◽

...

Keyword(s):

Boundary Element Method ◽

Magnetic Resonance ◽

Evoked Potentials ◽

Boundary Element ◽

Somatosensory Evoked Potentials ◽

Magnetic Resonance Images ◽

Cortical Potential ◽

Cortical Potential Imaging ◽

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Cortical Potential Imaging of Movement-Related Potentials using Parametric Wiener Filter in Realistic-Shaped Head Model

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.4398242 ◽

2006 ◽

Author(s):

Junichi Hori ◽

Bin He

Keyword(s):

Wiener Filter ◽

Cortical Potential ◽

Related Potentials ◽

Cortical Potential Imaging

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Back-projected cortical potential imaging for monitoring and stimulation tools

2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS) ◽

10.1109/comcas.2015.7360416 ◽

2015 ◽

Author(s):

Dror Haor ◽

Reuven Shavit ◽

Amir Geva

Keyword(s):

Cortical Potential ◽

Cortical Potential Imaging

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Cortical potential imaging of somatosensory evoked potential induced by mechanical stimulation

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/embc.2012.6347024 ◽

2012 ◽

Author(s):

J. Hori ◽

R. Kon

Keyword(s):

Mechanical Stimulation ◽

Evoked Potential ◽

Cortical Potential ◽

Somatosensory Evoked Potential ◽

Cortical Potential Imaging

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Deep Learning for Non-invasive Cortical Potential Imaging

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-66843-3_5 ◽

2020 ◽

pp. 45-55

Author(s):

Alexandra Razorenova ◽

Nikolay Yavich ◽

Mikhail Malovichko ◽

Maxim Fedorov ◽

Nikolay Koshev ◽

...

Keyword(s):

Deep Learning ◽

Cortical Potential ◽

Non Invasive ◽

Cortical Potential Imaging

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