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A Multiple Kernel Learning approach for human behavioral task classification using STN-LFP signal.
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:1030-1033. doi: 10.1109/EMBC.2016.7590878.
Annu Int Conf IEEE Eng Med Biol Soc. 2016.
PMID: 28268500
Studying the Effects of Deep Brain Stimulation and Medication on the Dynamics of STN-LFP Signals for Human Behavior Analysis.
Golshan HM, Hebb AO, Nedrud J, Mahoor MH.
Golshan HM, et al.
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4720-4723. doi: 10.1109/EMBC.2018.8513228.
Annu Int Conf IEEE Eng Med Biol Soc. 2018.
PMID: 30441403
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LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals.
Golshan HM, Hebb AO, Mahoor MH.
Golshan HM, et al.
J Neurosci Methods. 2020 Apr 1;335:108621. doi: 10.1016/j.jneumeth.2020.108621. Epub 2020 Feb 3.
J Neurosci Methods. 2020.
PMID: 32027889
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A hierarchical structure for human behavior classification using STN local field potentials.
Golshan HM, Hebb AO, Hanrahan SJ, Nedrud J, Mahoor MH.
Golshan HM, et al.
J Neurosci Methods. 2018 Jan 1;293:254-263. doi: 10.1016/j.jneumeth.2017.10.001. Epub 2017 Oct 7.
J Neurosci Methods. 2018.
PMID: 29017898
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Detection of the quality of vital signals by the Monte Carlo Markov Chain (MCMC) method and noise deleting.
Vajargah KF, Benis SG, Golshan HM.
Vajargah KF, et al. Among authors: golshan hm.
Health Inf Sci Syst. 2021 Jul 1;9(1):26. doi: 10.1007/s13755-021-00157-5. eCollection 2021 Dec.
Health Inf Sci Syst. 2021.
PMID: 34295461
Free PMC article.
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An Optimized LMMSE Based Method for 3D MRI Denoising.
Golshan HM, Hasanzadeh RP.
Golshan HM, et al.
IEEE/ACM Trans Comput Biol Bioinform. 2015 Jul-Aug;12(4):861-70. doi: 10.1109/TCBB.2014.2344675.
IEEE/ACM Trans Comput Biol Bioinform. 2015.
PMID: 26357327
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An MRI denoising method using image data redundancy and local SNR estimation.
Golshan HM, Hasanzadeh RP, Yousefzadeh SC.
Golshan HM, et al.
Magn Reson Imaging. 2013 Sep;31(7):1206-17. doi: 10.1016/j.mri.2013.04.004. Epub 2013 May 10.
Magn Reson Imaging. 2013.
PMID: 23668996
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