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Hamid Behnam

Showing results (31-40 of 56) with videos related to

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Journal of Medical Signals and Sensors|June 1, 2013
A Feed-forward Neural Network Algorithm to Detect Thermal Lesions Induced by High Intensity Focused Ultrasound in TissueParisa Rangraz, Hamid Behnam, Naser Shakhssalim, et al.
Ultrasound in Medicine & Biology|December 3, 2014
Real-time monitoring of high-intensity focused ultrasound thermal therapy using the manifold learning methodParisa Rangraz, Hamid Behnam, Pooya Sobhebidari, et al.
Biomedical Optics Express|November 5, 2020
Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation studyLeila Mohammadi, Hamid Behnam, Jahan Tavakkoli, et al.
International Journal of Computer Assisted Radiology and Surgery|August 1, 2012
Left ventricle wall motion quantification from echocardiographic images by non-rigid image registrationAhmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, et al.
Journal of Digital Imaging|January 30, 2013
Automatic classification of left ventricular regional wall motion abnormalities in echocardiography images using nonrigid image registrationAhmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, et al.
Journal of Medical Ultrasound|August 2, 2018
High-Intensity Focused Ultrasound Thermal Lesion Detection Using Entropy Imaging of Ultrasound Radio Frequency Signal Time SeriesMaryam Mohammadi Monfared, Hamid Behnam, Parisa Rangraz, et al.
Journal of Medical Signals and Sensors|May 11, 2017
Quantification of Left Ventricle Function in Stress Echocardiography Using Endocardial Area Centroid TrajectoryMohammad Jalali, Hamid Behnam, Maryam Shojaeifard, et al.
Physiological Measurement|July 24, 2010
Automatic detection of end-diastole and end-systole from echocardiography images using manifold learningParisa Gifani, Hamid Behnam, Ahmad Shalbaf, et al.
Medical Physics|May 3, 2013
Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reductionAhmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, et al.
Journal of Digital Imaging|July 26, 2014
Automatic computation of left ventricular volume changes over a cardiac cycle from echocardiography images by nonlinear dimensionality reductionZahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam, et al.
Pageof 6

Showing results (31-40 of 56) with videos related to

Sort By:
Pageof 6
Journal of Medical Signals and Sensors|June 1, 2013
A Feed-forward Neural Network Algorithm to Detect Thermal Lesions Induced by High Intensity Focused Ultrasound in TissueParisa Rangraz, Hamid Behnam, Naser Shakhssalim, et al.
Ultrasound in Medicine & Biology|December 3, 2014
Real-time monitoring of high-intensity focused ultrasound thermal therapy using the manifold learning methodParisa Rangraz, Hamid Behnam, Pooya Sobhebidari, et al.
Biomedical Optics Express|November 5, 2020
Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation studyLeila Mohammadi, Hamid Behnam, Jahan Tavakkoli, et al.
International Journal of Computer Assisted Radiology and Surgery|August 1, 2012
Left ventricle wall motion quantification from echocardiographic images by non-rigid image registrationAhmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, et al.
Journal of Digital Imaging|January 30, 2013
Automatic classification of left ventricular regional wall motion abnormalities in echocardiography images using nonrigid image registrationAhmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, et al.
Journal of Medical Ultrasound|August 2, 2018
High-Intensity Focused Ultrasound Thermal Lesion Detection Using Entropy Imaging of Ultrasound Radio Frequency Signal Time SeriesMaryam Mohammadi Monfared, Hamid Behnam, Parisa Rangraz, et al.
Journal of Medical Signals and Sensors|May 11, 2017
Quantification of Left Ventricle Function in Stress Echocardiography Using Endocardial Area Centroid TrajectoryMohammad Jalali, Hamid Behnam, Maryam Shojaeifard, et al.
Physiological Measurement|July 24, 2010
Automatic detection of end-diastole and end-systole from echocardiography images using manifold learningParisa Gifani, Hamid Behnam, Ahmad Shalbaf, et al.
Medical Physics|May 3, 2013
Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reductionAhmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, et al.
Journal of Digital Imaging|July 26, 2014
Automatic computation of left ventricular volume changes over a cardiac cycle from echocardiography images by nonlinear dimensionality reductionZahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam, et al.
Pageof 6