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Saeed Gazor

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Bio-Medical Engineering|August 22, 2009
Wavelet-domain medical image denoising using bivariate laplacian mixture modelHossein Rabbani, Reza Nezafat, Saeed Gazor
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Maximum likelihood cardiac conduction velocity estimation from sequential mapping in the presence of activation time noise with unknown variancesMohammad Hassan Shariat, Saeed Gazor, Damian Redfearn
Artificial Intelligence in Medicine|March 6, 2018
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillationHabib Hajimolahoseini, Javad Hashemi, Saeed Gazor, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Cardiac conduction velocity estimation from sequential mapping assuming known Gaussian distribution for activation time estimation errorMohammad Hassan Shariat, Saeed Gazor, Damian Redfearn
Thescientificworldjournal|February 7, 2014
New features using robust MVDR spectrum of filtered autocorrelation sequence for robust speech recognitionSanaz Seyedin, Seyed Mohammad Ahadi, Saeed Gazor
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Bipolar Intracardiac Electrogram Active Interval Extraction During Atrial FibrillationMohammad Hassan Shariat, Saeed Gazor, Damian P Redfearn
IEEE Transactions on Bio-Medical Engineering|August 21, 2008
Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priorsHossein Rabbani, Mansur Vafadust, Purang Abolmaesumi, et al.
Frontiers in Cardiovascular Medicine|July 11, 2018
Regional Dominant Frequency: A New Tool for Wave Break Identification During Atrial FibrillationMohammad Hassan Shariat, Javad Hashemi, Saeed Gazor, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Bio-Medical Engineering|August 22, 2009
Wavelet-domain medical image denoising using bivariate laplacian mixture modelHossein Rabbani, Reza Nezafat, Saeed Gazor
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Maximum likelihood cardiac conduction velocity estimation from sequential mapping in the presence of activation time noise with unknown variancesMohammad Hassan Shariat, Saeed Gazor, Damian Redfearn
Artificial Intelligence in Medicine|March 6, 2018
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillationHabib Hajimolahoseini, Javad Hashemi, Saeed Gazor, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Cardiac conduction velocity estimation from sequential mapping assuming known Gaussian distribution for activation time estimation errorMohammad Hassan Shariat, Saeed Gazor, Damian Redfearn
Thescientificworldjournal|February 7, 2014
New features using robust MVDR spectrum of filtered autocorrelation sequence for robust speech recognitionSanaz Seyedin, Seyed Mohammad Ahadi, Saeed Gazor
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Bipolar Intracardiac Electrogram Active Interval Extraction During Atrial FibrillationMohammad Hassan Shariat, Saeed Gazor, Damian P Redfearn
IEEE Transactions on Bio-Medical Engineering|August 21, 2008
Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priorsHossein Rabbani, Mansur Vafadust, Purang Abolmaesumi, et al.
Frontiers in Cardiovascular Medicine|July 11, 2018
Regional Dominant Frequency: A New Tool for Wave Break Identification During Atrial FibrillationMohammad Hassan Shariat, Javad Hashemi, Saeed Gazor, et al.
Pageof 1