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Azemi, Ghasem
30  results:
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1

Decoding of auditory surprise in adult magnetoencephalograp..:

Tavoosi, Parya ; Azemi, Ghasem ; Sowman, Paul F.
Digital Signal Processing.  148 (2024)  - p. 104450 , 2024
Link: https://doi.org/10.1016/..
 
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2

Unraveling the blue shift in porphyrin fluorescence in glio..:

Suero Molina, Eric ; Black, David ; Walke, Anna...
Frontiers in Neuroscience.  17 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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3

Effective connectivity in brain networks estimated using EE..:

Abbas, Ali Kareem ; Azemi, Ghasem ; Amiri, Sajad..
Computers in Biology and Medicine.  134 (2021)  - p. 104515 , 2021
Link: https://doi.org/10.1016/..
 
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4

Classification of normal/abnormal PCG recordings using a ti..:

Hazeri, Hanie ; Zarjam, Pega ; Azemi, Ghasem
Analog Integrated Circuits and Signal Processing.  109 (2021)  2 - p. 459-465 , 2021
Link: https://doi.org/10.1007/..
 
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5

Fetal ECG Extraction from Sparse Representation of Multicha..:

Tavoosi, Parya ; Haghi, Fereshteh ; Zarjam, Pega.
Circuits, Systems, and Signal Processing.  41 (2021)  4 - p. 2027-2044 , 2021
Link: https://doi.org/10.1007/..
 
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6

Detection of epileptic seizures from compressively sensed E..:

Aghababaei, Mohammad H. ; Azemi, Ghasem ; O'Toole, John M.
Expert Systems with Applications.  172 (2021)  - p. 114630 , 2021
Link: https://doi.org/10.1016/..
 
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7

An EEG-based methodology for the estimation of functional b..:

Abbas, Ali Kareem ; Azemi, Ghasem ; Ravanshadi, Samin.
Biomedical Signal Processing and Control.  63 (2021)  - p. 102229 , 2021
Link: https://doi.org/10.1016/..
 
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8

A modified row-sparse multiple measurement vector recovery ..:

Aghababaei, Mohammad H. ; Azemi, Ghasem
Biomedical Signal Processing and Control.  60 (2020)  - p. 101956 , 2020
Link: https://doi.org/10.1016/..
 
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9

A novel multivariate phase synchrony measure: Application t..:

Shahsavari Baboukani, Payam ; Azemi, Ghasem ; Boashash, Boualem..
Digital Signal Processing.  84 (2019)  - p. 59-68 , 2019
Link: https://doi.org/10.1016/..
 
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10

A new NLEO based technique for the detection of burst–suppr..:

Mirzaei, Parisa ; Azemi, Ghasem
Analog Integrated Circuits and Signal Processing.  92 (2017)  2 - p. 255-262 , 2017
Link: https://doi.org/10.1007/..
 
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11

Surrogate data test for nonlinearity of EEG signals: A newb..:

Mirzaei, Parisa ; Azemi, Ghasem ; Japaridze, Natia.
Digital Signal Processing.  70 (2017)  - p. 30-38 , 2017
Link: https://doi.org/10.1016/..
 
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12

EEG background features that predict outcome in term neonat..:

Awal, Md. Abdul ; Lai, Melissa M. ; Azemi, Ghasem..
Clinical Neurophysiology.  127 (2016)  1 - p. 285-296 , 2016
Link: https://doi.org/10.1016/..
 
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13

Principles of time–frequency feature extraction for change ..:

Boashash, Boualem ; Azemi, Ghasem ; Ali Khan, Nabeel
Pattern Recognition.  48 (2015)  3 - p. 616-627 , 2015
Link: https://doi.org/10.1016/..
 
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14

A review of time–frequency matched filter design with appli..:

Boashash, Boualem ; Azemi, Ghasem
Digital Signal Processing.  28 (2014)  - p. 28-38 , 2014
Link: https://doi.org/10.1016/..
 
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15

Improved characterization of HRV signals based on instantan..:

Dong, Shiying ; Azemi, Ghasem ; Boashash, Boualem
Biomedical Signal Processing and Control.  10 (2014)  - p. 153-165 , 2014
Link: https://doi.org/10.1016/..
 
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