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Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.

P. Garg, E. Davenport, G. Murugesan, B. Wagner, C. Whitlow, J. Maldjian, and A. Montillo. MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 374-381. Springer, (2017)

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Sonia Whitlow

Christopher T F Kühl

Christopher Christopher

T Peters

T Frieberg

Other publications of authors with the same name

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.G. Murugesan, A. Famili, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, C. Whitlow, J. Stitzel, J. Maldjian and 1 other author(s). ISBI, page 464-467. IEEE, (2017)Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.J. Maldjian, E. Davenport, and C. Whitlow. NeuroImage, (2014)Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.P. Garg, E. Davenport, G. Murugesan, B. Wagner, C. Whitlow, J. Maldjian, and A. Montillo. MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 374-381. Springer, (2017)A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.B. Saha, S. Natarajan, G. Kota, C. Whitlow, D. Bowden, J. Divers, B. Freedman, and J. Maldjian. ICMLA (1), page 90-95. IEEE, (2012)Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.P. Garg, E. Davenport, G. Murugesan, B. Wagner, C. Whitlow, J. Maldjian, and A. Montillo. PRNI, page 1-4. IEEE, (2017)Assessing cerebrovascular reactivity (CVR) in rhesus macaques (Macaca mulatta) using a hypercapnic challenge and pseudo-continuous arterial spin labeling (pCASL).B. Johnson, M. Lipford, R. Barcus, J. Olson, G. Schaaf, R. Andrews, J. Kim, G. Dugan, S. Deycmar, C. Reed and 2 other author(s). NeuroImage, (January 2024)A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.S. Natarajan, S. Joshi, B. Saha, A. Edwards, T. Khot, E. Moody, K. Kersting, C. Whitlow, and J. Maldjian. ICMLA (1), page 203-208. IEEE, (2012)Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brainS. Natarajan, B. Saha, S. Joshi, A. Edwards, T. Khot, E. Davenport, K. Kersting, C. Whitlow, and J. Maldjian. Int. J. Machine Learning & Cybernetics, 5 (5): 659--669 (2014)Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players.G. Murugesan, B. Saghafi, E. Davenport, B. Wagner, J. Urban-Hobson, M. Kelley, D. Jones, A. Powers, C. Whitlow, J. Stitzel and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750F. SPIE, (2018)Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks.B. Saghafi, G. Murugesan, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, A. Powers, C. Whitlow, J. Stitzel and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750E. SPIE, (2018)

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Disambiguation of "Whitlow, Christopher T."

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Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.

Please choose a person to relate this publication to

Sonia Whitlow

Christopher T F Kühl

Christopher Christopher

T Peters

T Frieberg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Whitlow, Christopher T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.

Please choose a person to relate this publication to

Sonia Whitlow

Christopher T F Kühl

Christopher Christopher

T Peters

T Frieberg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.