H. Behnam

发表

Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure

A. Sheikhani, H. Behnam, M. Mohammadi, 2007, 2007 4th IEEE/EMBS International Summer School and Symposium on Medical Devices and Biosensors.

Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI

Mohammad Reza Daliri, Hamid Behnam, Ahmad Shalbaf, 2019, Comput. Biol. Medicine.

Measuring the effects of sevoflurane on electroencephalogram using sample entropy

J. Sleigh, H. Behnam, L. Voss, 2012, Acta anaesthesiologica Scandinavica.

Automatic detection of end-diastole and end-systole from echocardiography images using manifold learning.

H. Behnam, Ahmad Shalbaf, P. Gifani, 2010, Physiological measurement.

Automatic detection of end systole and end diastole within a sequence of 2-D echocardiographic images using modified Isomap algorithm

H. Behnam, Ahmad Shalbaf, P. Gifani, 2011, 2011 1st Middle East Conference on Biomedical Engineering.

Preface: International Conference on Intelligent Computing Techniques in Electrical Energy System

A. Sheikhani, H. Behnam, M. Mohammadi, 2023, PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY.

Abnormalities of Quantitative Electroencephalography in Children with Asperger Disorder Using Spectrogram and Coherence Values

A. Sheikhani, H. Behnam, M. Mohammadi, 2008 .

EVALUATION OF QUANTITATIVE ELECTROENCEPHALOGRAPHY IN CHILDREN WITH AUTISTIC DISORDERS IN VARIOUS CONDITIONS BASED ON SPECTROGRAM

A. Sheikhani, H. Behnam, M. Mohammadi, 2008 .

Modified Optical Flow Technique for Cardiac Motions Analysis in Echocardiography Images

H. Behnam, Z. Sani, Paria Torkashvand, 2012, Journal of medical signals and sensors.

Using the Hilbert–Huang transform to measure the electroencephalographic effect of propofol

J. Sleigh, H. Behnam, L. Voss, 2012, Physiological measurement.

Measuring the Effect of Aging on Vibrations of the Carotid Artery Wall Using Empirical Mode Decomposition Method

S. Setarehdan, H. Behnam, F. Y. Rizi, 2014, Journal of medical signals and sensors.

Study of the effects of age and body mass index on the carotid wall vibration: Extraction methodology and analysis

S. Setarehdan, H. Behnam, Fereshteh Yousefi Rizi, 2014, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Pseudo-increasing frame rates of carotid artery B-mode images using manifold learning

S. Setarehdan, H. Behnam, F. Y. Rizi, 2013, 2013 20th Iranian Conference on Biomedical Engineering (ICBME).

Quantification of Left Ventricle Function in Stress Echocardiography Using Endocardial Area Centroid Trajectory

H. Behnam, Z. Sani, Mohammad Jalali, 2017, Journal of medical signals and sensors.

Simultaneous speckle reduction of echocardiography frame sequence using PCA

H. Behnam, P. Gifani, Z. Sani, 2014, 2014 22nd Iranian Conference on Electrical Engineering (ICEE).

ORDER PATTERNS RECURRENCE ANALYSIS OF ELECTROENCEPHALOGRAM DURING SEVOFLURANE ANESTHESIA

J. Sleigh, H. Behnam, R. Shalbaf, 2015 .

Frontal-Temporal Synchronization of EEG Signals Quantified by Order Patterns Cross Recurrence Analysis During Propofol Anesthesia

D. Alistair Steyn-Ross, Hamid Behnam, Reza Shalbaf, 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Measuring Left Ventricular Volumes in Two-Dimensional Echocardiography Image Sequence Using Level-set Method for Automatic Detection of End-Diastole and End-systole Frames

Majid Pouladian, Hamid Behnam, H. Behnam, 2012, Research in cardiovascular medicine.

Phase correction on ultrasound speed measurement

Motonao Tanaka, H. Behnam, S. Ohtsuki, 1998 .

Radio Frequency Ultrasound Time Series Signal Analysis to Evaluate High-intensity Focused Ultrasound Lesion Formation Status in Tissue

J. Tavakkoli, H. Behnam, P. Rangraz, 2016, Journal of medical signals and sensors.

Denoising Medical Images using Calculus of Variations

Hamid Behnam, Mahdi Nakhaie Kohan, H. Behnam, 2011, Journal of medical signals and sensors.

AUTOMATIC AND CONCURRENT DETERMINATION OF OPTIMAL VALUES OF NONLOCAL MEANS FILTERING PARAMETERS BASED ON BAYESIAN FORMULATION IN IVUS IMAGES

S. Setarehdan, H. Behnam, E. Golchin, 2015 .

Monitoring the depth of anesthesia using entropy features and an artificial neural network

Hamid Behnam, Reza Shalbaf, Jamie W. Sleigh, 2013, Journal of Neuroscience Methods.

Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation study.

J. Tavakkoli, H. Behnam, Kamran Avanaki, 2020, Biomedical optics express.

Detection of Abnormalities for Diagnosing of Children with Autism Disorders Using of Quantitative Electroencephalography Analysis

Mohammad Reza Mohammadi, Ali Sheikhani, Hamid Behnam, 2012, Journal of Medical Systems.

CARDIAC-BORDER SEGMENTATION IN 2D ECHOCARDIOGRAPHY IMAGE SEQUENCE USING LEVEL SET METHOD TO MEASURE GLOBAL PARAMETERS

H. Behnam, M. Pouladian, N. Samiei, 2013 .

DYNAMIC CHANGES IN THE ACOUSTO-MECHANICAL AND STATISTICAL PARAMETERS OF TISSUE DURING HIGH INTENSITY FOCUSED ULTRASOUND (HIFU) TREATMENT

J. Tavakkoli, H. Behnam, N. Shakhssalim, 2014 .

A Feed-forward Neural Network Algorithm to Detect Thermal Lesions Induced by High Intensity Focused Ultrasound in Tissue

J. Tavakkoli, H. Behnam, N. Shakhssalim, 2012, Journal of medical signals and sensors.

Connectivity Analysis of Quantitative Electroencephalogram Background Activity in Autism Disorders with Short Time Fourier Transform and Coherence Values

H. Behnam, A. Sheikhani, A. Sheikhani, 2008, 2008 Congress on Image and Signal Processing.

Noise reduction of echocardiography images using Isomap algorithm

H. Behnam, Ahmad Shalbaf, P. Gifani, 2011, 2011 1st Middle East Conference on Biomedical Engineering.

ANALYSIS OF ECHOCARDIOGRAPHY IMAGES USING MANIFOLD LEARNING

H. Behnam, P. Gifani, Z. A. Sani, 2010 .

Carotid Wall Longitudinal Motion in Ultrasound Imaging: An Expert Consensus Review.

T. Laitinen, N. Navab, H. Behnam, 2020, Ultrasound in medicine & biology.

Evaluation of EEG Synchronization in Autistic Children Using Cross-Sample Entropy and Cross-Approximate Entropy

Ali Sheikhani, Hamid Behnam, Sara Bagherzadeh, 2015 .

Global Wall Motion Estimation of Echocardiographic Images Based on Temporal Information and Sparse Representations

H. Behnam, P. Gifani, M. Shojaiefard, 2018 .

High-Intensity Focused Ultrasound Thermal Lesion Detection Using Entropy Imaging of Ultrasound Radio Frequency Signal Time Series

J. Tavakkoli, H. Behnam, P. Rangraz, 2018, Journal of medical ultrasound.

Speckle Tracking Accuracy Enhancement by Temporal Super-Resolution of Three-Dimensional Echocardiography Images

H. Behnam, Mohammad Jalali, 2021, Journal of medical signals and sensors.

Diagnosis of Atherosclerotic Plaque Using Hilbert Transform on RF Ultrasound Data

H. Behnam, L. Salehi, 2008 .

A new technique for the measurement and assessment of carotid artery wall vibrations using ultrasound RF echoes

H. Behnam, Z. Sani, Samrand Sharifi, 2019, Turkish J. Electr. Eng. Comput. Sci..

Ultrasound Radio Frequency Signal Simulation Considering Doppler Effect by Use of Linear Time Variant Model

H. Behnam, M. Khodabakhshi, H. P. Mehrabany, 2012 .

COMPARISON OF A PROPOSED TIME DOMAIN MODEL WITH THE COSINE MODELLING OF BLOOD FLOW ULTRASOUND SIGNAL IN A CARDIAC CYCLE

H. Behnam, A. Hajjam, M. K. Hazrati, 2010 .

Echocardiography Signal Modeling Considering Doppler Effect

H. Behnam, H. Rakhshan, 2008 .

Detection of Abnormalities for Diagnosing of Children with Asperger Disorder Using of Quantitative Electroencephalography Analysis

A. Sheikhani, H. Behnam, M. Mohammadi, 2015 .

AXIAL RESOLUTION IMPROVEMENT IN VIBROACOUSTOGRAPHY USING SHORT DURATION

H. Behnam, H. Rakhshan, 2009 .

Thermometry using entropy imaging of ultrasound radio frequency signal time series

J. Tavakkoli, H. Behnam, Elyas Shaswary, 2022, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

EVALUATION OF EEG SIGNAL IN AUTISM DISORDER WITH ICA ANALYSIS

A. Sheikhani, H. Behnam, M. Rashidi, 2010 .

Early MS Patients’ Identification Using Non-Linear Functional Connectivity and Graph-Theoretic Measures of Cognitive Task-fMRI Data

Seyedeh Naghmeh Miri Ashtiani, H. Behnam, Farzad Azarmi, 2022, Basic and Clinical Neuroscience Journal.

Altered topological properties of brain networks in the early MS patients revealed by cognitive task-related fMRI and graph theory

Mohammad Reza Daliri, Gholam-Ali Hossein-Zadeh, Hamid Behnam, 2018, Biomed. Signal Process. Control..

The effect of ultrasound on the expression of CNTF gene, a possible cause of ultrasound influence on the rate of injured peripheral nerve regeneration

H. Behnam, A. Rahimi, R. Edalat, 2013, Australasian Physical & Engineering Sciences in Medicine.

The Effect of Ultrasound on Acceleration of Peripheral Nerve Injury

H. Behnam, A. Rahimi, J. I. Mobarakeh, 2012 .

The effects of altered ultrasound parameters on the recovery of sciatic nerve injury.

H. Behnam, F. Samiee, A. Rahimi, 2012, Iranian biomedical journal.

Breast cancer detection in automated 3D breast ultrasound using iso‐contours and cascaded RUSBoosts

Hamid Behnam, Mohsen Soryani, Ehsan Kozegar, 2017, Ultrasonics.

Hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) diagnosis using echocardiography and electrocardiography

H. Behnam, M. Shojaeifard, Yasna Forghani, 2021, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.

A deep learning approach for the automatic recognition of prosthetic mitral valve in echocardiographic images

Hamid Behnam, Parisa Gifani, Majid Vafaeezadeh, 2021, Comput. Biol. Medicine.

Characterisation of the effects of age and body mass index on the ultrasound carotid artery wall using RF time series

Hamid Behnam, Zahra Alizadeh Sani, Samrand Sharifi, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Diagnosis of Multiple Sclerosis Using Graph-Theoretic Measures of Cognitive-Task-Based Functional Connectivity Networks

Mohammad Reza Daliri, Hamid Behnam, Seyedeh Naghmeh Miri Ashtiani, 2022, IEEE Transactions on Cognitive and Developmental Systems.

Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI

Mohammad Reza Daliri, Hamid Behnam, Gholam-Ali Hossein-Zadeh, 2019, Australasian Physical & Engineering Sciences in Medicine.

Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction

Leila Mohammadi, Hamid Behnam, Jahan Tavakkoli, 2019, Sensors.

Liver Segmentation in CT Images Using Deep Neural Networks

Hamid Behnam, Hamid Didari Khamseh Motlagh, Fatemeh Ghofrani, 2020, 2020 28th Iranian Conference on Electrical Engineering (ICEE).

Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reduction.

Hamid Behnam, Ahmad Shalbaf, Zahra Alizade-Sani, 2013, Medical physics.

Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration

Hamid Behnam, Ahmad Shalbaf, Zahra Alizade-Sani, 2013, Journal of Digital Imaging.

Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration

Hamid Behnam, Ahmad Shalbaf, Zahra Alizade-Sani, 2012, International Journal of Computer Assisted Radiology and Surgery.

Modeling Twinkling Artifact in Sonography

Hamid Behnam, H. Behnam, A. Hajjam, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Classification of Benign and Malignant Breast Masses Based on Shape and Texture Features in Sonography Images

Hamid Behnam, Nasrin Ahmadinejad, Fahimeh Sadat Zakeri, 2012, Journal of Medical Systems.

Abnormalities of quantitative electroencephalography in children with Asperger disorder in various conditions

Mohammad Reza Mohammadi, Ali Sheikhani, Hamid Behnam, 2009 .

Abnormalities in Connectivity of Quantitative Electroencephalogram Background Activity in Autism Disorders especially in Left Hemisphere and Right Temporal

Mohammad Reza Mohammadi, Ali Sheikhani, Hamid Behnam, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Abnormalities in Connectivity of Quantitative Electroencephalogram Background Activity in Asperger Disorders with Short Time Fourier Transform and Coherence Values

Mohammad Reza Mohammadi, Ali Sheikhani, Hamid Behnam, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Landmark Extraction from Echocardiography Sequence Based on Corner Detection Algorithms Using Product Moment Coefficient Matcher

Hamid Behnam, Meysam Siyah Mansoory, Emad Fatemi Zadeh, 2009, 2009 International Conference on Signal Processing Systems.

Landmark Extraction from Echocardiography Sequence Based on Corner Detection Algorithms Using Gradient Vector Matcher

Hamid Behnam, Meysam Siyah Mansoory, Emad Fatemi Zadeh, 2009, 2009 International Association of Computer Science and Information Technology - Spring Conference.

Echocardiography without electrocardiogram using nonlinear dimensionality reduction methods

Hamid Behnam, Ahmad Shalbaf, Zahra AlizadehSani, 2015, Journal of Medical Ultrasonics.

Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction

Hamid Behnam, Reza Shalbaf, Ahmad Shalbaf, 2015, Journal of Digital Imaging.

Letter to the Editor Regarding Paper “Automatic Computation of Left Ventricular Volume Changes over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction”

Hamid Behnam, Ahmad Shalbaf, H. Behnam, 2015, Journal of Digital Imaging.

Spatiotemporal registration and fusion of transthoracic echocardiography and volumetric coronary artery tree

Hamid Behnam, Emad Fatemizadeh, Talayeh Ghodsizad, 2021, International Journal of Computer Assisted Radiology and Surgery.

ADAPTIVE SPARSE REPRESENTATION FOR MRI NOISE REMOVAL

Hamid Behnam, Emad Fatemizadeh, Mohammad Mahdi Khalilzadeh, 2012 .

Skull’s aberration modeling: towards photoacoustic human brain imaging

Hamid Behnam, Jahan Tavakkoli, Rayyan Manwar, 2019, BiOS.

Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization

Hamid Behnam, Sajjad Afrakhteh, H. Behnam, 2020, Biomed. Signal Process. Control..

Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method

Hamid Behnam, M. Mirsadeghi, Reza Shalbaf, 2015, Journal of Medical Systems.

Nakagami imaging for detecting thermal lesions induced by high-intensity focused ultrasound in tissue

Hamid Behnam, Jahan Tavakkoli, Parisa Rangraz, 2014, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model

M. Soryani, E. Kozegar, H. Behnam, 2018, IEEE Transactions on Medical Imaging.

Breast mass classification on sonographic images on the basis of shape analysis

Hamid Behnam, Nasrin Ahmadinejad, Fahimeh Sadat Zakeri, 2010, Journal of Medical Ultrasonics.

Twinkling Artifact on Color Doppler echocardiography and its dependence on Ultrasound force

H. Behnam, A. Hajjam, H. Rakhshan, 2010 .

Temporal super resolution of ultrasound images using compressive sensing

Hamid Behnam, Maryam Shojaeifard, Mina Hosseinpour, 2019, Biomed. Signal Process. Control..

High-Intensity Focused Ultrasound Lesion Detection Using Adaptive Compressive Sensing Based on Empirical Mode Decomposition

Hamid Behnam, Jahan Tavakkoli, Hadi Ghasemifard, 2019, Journal of medical signals and sensors.

Toward high-intensity focused ultrasound lesion quantification using compressive sensing theory

Hamid Behnam, Jahan Tavakkoli, Hadi Ghasemifard, 2017, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Ultrasound Elastography Using Empirical Mode Decomposition Analysis

Hamid Behnam, Jahan Tavakkoli, Sajjad Sadeghi, 2014, Journal of medical signals and sensors.

Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables

H. Behnam, R. Shalbaf, H. J. Moghadam, 2015, Cognitive Neurodynamics.

Depth of anesthesia indicator using combination of complexity and frequency measures

A. H. Mehrnam, H. Behnam, R. Shalbaf, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

The Brain function index as a depth of anesthesia indicator using complexity measures

H. Jelveh Moghadam, H. Behnam, R. Shalbaf, 2013, 2013 IEEE Conference on Systems, Process & Control (ICSPC).

TRACKABLE-SPECKLE DETECTION USING A DUAL-PATH CONVOLUTIONAL NEURAL NETWORK FOR NODES SELECTION IN SPECKLE TRACKING ECHOCARDIOGRAPHY

H. Behnam, Z. A. Sani, H. Yeganegi, 2022, Asian Journal Of Medical Technology.

A Color-Encoded Map to Facilitate the Identification of Abnormal Segments of the Left Ventricle by Novice Examiners

Hamid Behnam, Parisa Gifani, Zahra Alizadeh Sani, 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

Analysis of EEG background activity in Autism disease patients with bispectrum and STFT measure

Ali Sheikhani, Hamid Behnam, Maryam Noroozian, 2007 .

Uncorrected Proof ) Title : Early MS Patients ’ Identification Using Non-Linear Functional Connectivity and Graph-Theoretic Measures of Cognitive Task-fMRI Data

Seyedeh Naghmeh Miri Ashtiani, H. Behnam, Farzad Azarmi, 2022 .

On the Security of Mutual Authentication Protocols for RFID Systems: The Case of Wei et al.'s Protocol

Masoumeh Safkhani, Nasour Bagheri, Majid Naderi, 2011, DPM/SETOP.

Denoising Medical Images using Calculus of Variations.

Mahdi Nakhaie Kohan, H. Behnam, 2011 .

Computer aided detection in automated 3-D breast ultrasound images: a survey

Hamid Behnam, Tao Tan, Mohsen Soryani, 2019, Artificial Intelligence Review.

Performance Evaluation of the Modified Iterative Closest Point Methods for Intra-operative Ultrasound and Pre-operative MR Image Registration of Brain

Hamid Behnam, Parastoo Farnia, Alireza Ahmadian, 2015 .

Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables

H. Behnam, R. Shalbaf, H. Jelveh Moghadam, 2014, Cognitive Neurodynamics.

MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules

Hamid Behnam, Nasrin Amini, H. Behnam, 2014, Journal of medical engineering & technology.

Temporal Super Resolution Enhancement of Echocardiographic Images Based on Sparse Representation

Hamid Behnam, Farzan Haddadi, Parisa Gifani, 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Assessment of Parameter of Nonlinearity (B/A) and Parameter of h in Ultrasound Propagation for monitor HIFU treatmen

J. Tavakkoli, H. Behnam, S. Rahimian, 2013 .

Temporal super-resolution of 2D/3D echocardiography using cubic B-spline interpolation

Hamid Behnam, Mohammad Jalali, Maryam Shojaeifard, 2020, Biomed. Signal Process. Control..

Temporal Super-resolution of Ultrasound Imaging Using Matrix Completion

Hamid Behnam, Maryam Shojaeifard, Mina Hosseinpour, 2020, Ultrasonic imaging.

Noise reduction of echocardiographic images based on temporal information

Hamid Behnam, Parisa Gifani, Zahra Sani, 2014, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

MRI and PET Image Fusion by Using Curvelet Transform

Hamid Behnam, Emad Fatemizadeh, Nasrin Amini, 2014 .

Noise reduction in echocardigraphy images using Contourlet transform

Hamid Behnam, Ahmad Shalbaf, Zahra Alizadeh Sani, 2011, Middle East Conference on Biomedical Engineering.

Automatic morphological classification of mitral valve diseases in echocardiographic images based on explainable deep learning methods

H. Behnam, P. Gifani, A. Hosseinsabet, 2021, International Journal of Computer Assisted Radiology and Surgery.