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Hamid Behnam
Hamid Behnam
School of Electrical Engineering, Iran University of Science and Technology
Verified email at iust.ac.ir
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Cited by
Year
2022 Index IEEE Transactions on Cognitive and Developmental Systems Vol. 14
F Abawi, MN Ahmadabadi, F Alamri, R Alcaraz, PV Amadori, ...
A color-encoded map to facilitate the identification of abnormal segments of the left ventricle by novice examiners
M Shiri, P Gifani, H Behnam, ZA Sani, H Yeganegi, M Shojaeifard
2019 27th Iranian Conference on Electrical Engineering (ICEE), 1737-1741, 2019
12019
A deep learning approach for the automatic recognition of prosthetic mitral valve in echocardiographic images
M Vafaeezadeh, H Behnam, A Hosseinsabet, P Gifani
Computers in Biology and Medicine 133, 104388, 2021
182021
A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging
S Afrakhteh, H Behnam
International Journal of Imaging Systems and Technology 30 (4), 1080-1094, 2020
122020
A feed-forward neural network algorithm to detect thermal lesions induced by high intensity focused ultrasound in tissue
P Rangraz, H Behnam, N Shakhssalim, J Tavakkoli
Journal of Medical Signals & Sensors 2 (4), 192-202, 2012
162012
A modified time-domain approach for modelling the ultrasound signal from blood-flow
A Hajjam, H Behnam
Ultrasound 16 (3), 160-164, 2008
62008
A new approach to compression of medical ultrasound images using wavelet transform
E Shahhoseini, NA Nejad, H Behnam, A Shahhoseini
2010 Third International Conference on Advances in Circuits, Electronics and …, 2010
122010
A new method for pseudo-increasing frame rates of echocardiography images using manifold learning
P Gifani, H Behnam, ZA Sani
Journal of Medical Signals & Sensors 1 (2), 107-112, 2011
112011
A new method for simulation of embolic signal in ultrasound blood flow signals
MB Khodabakhshi, H Behnam
2010 17th Iranian Conference of Biomedical Engineering (ICBME), 1-3, 2010
32010
A new technique for the measurement and assessment of carotid artery wall vibrations using ultrasound RF echoes
S Sharifi, H Behnam, ZA Sani
Turkish Journal of Electrical Engineering and Computer Sciences 27 (6), 4340 …, 2019
2019
A novel method for breast cancer prognosis using wavelet packet based neural network
SMH Jamarani, G Rezai-Rad, H Behnam
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 3414-3417, 2006
272006
A review on computer aided systems for mass detection using 3D automatic breast ultrasound (ABUS) images
E Kozegar, M Soryani, H Behnam, M Salamati
Journal of Machine Vision and Image Processing 5 (2), 139-153, 2018
2018
A ROBUST DUAL SOURCE LEVEL SET METHOD FOR THREE-DIMENSIONAL ECHOCARDIOGRAPHY IMAGE SEGMENTATION.
N SAHBA, E FATEMIZADEH, H BEHNAM
Journal of Theoretical & Applied Information Technology 95 (21), 2017
2017
Abnormalities in Connectivity of quantitative Electroencephalogram background activity in Asperger disorders with short time Fourier transform and Coherence values
H Behnam, A Sheikhani, MR Mohammadi, M Noroozian
Tenth International Conference on Computer Modeling and Simulation (uksim …, 2008
42008
Abnormalities in connectivity of quantitative electroencephalogram background activity in autism disorders especially in left hemisphere and right temporal
H Behnam, A Sheikhani, MR Mohammadi, M Noroozian
tenth international conference on computer modeling and simulation (uksim …, 2008
142008
Abnormalities of quantitative electroencephalography in children with Asperger disorder in various conditions
A Sheikhani, H Behnam, M Noroozian, MR Mohammadi, M Mohammadi
Research in Autism Spectrum Disorders 3 (2), 538-546, 2009
492009
Abnormalities of Quantitative Electroencephalography in Children with Asperger Disorder Using Spectrogram and Coherence Values
A Sheikhani
Iranian J Psychiatry 3 (2), 64-70, 2008
2*2008
ADAPTIVE SPARSE REPRESENTATION FOR MRI NOISE REMOVAL
MM Khalilzadeh, E Fatemizadeh, H Behnam
Biomedical Engineering: Applications, Basis and Communications 24 (05), 383-394, 2012
12012
Altered topological properties of brain networks in the early MS patients revealed by cognitive task-related fMRI and graph theory
SNM Ashtiani, MR Daliri, H Behnam, GA Hossein-Zadeh, M Mehrpour, ...
Biomedical Signal Processing and Control 40, 385-395, 2018
272018
An optimized probabilistic edge based level set method for left ventricle segmentation in echocardiography images.
N Sahba, E Fatemizadeh, H Behnam
Biomedical Research 28 (8), 3788-3793, 2017
2017
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