Hamid Behnam

发表

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

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

Skull’s aberration modeling: towards photoacoustic human brain imaging

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

Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method

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

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).

Ultrasound Elastography Using Empirical Mode Decomposition Analysis

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

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.

A New Method for Pseudo-increasing Frame Rates of Echocardiography Images Using Manifold Learning

Hamid Behnam, Parisa Gifani, Zahra Alizadeh Sani, 2011, Journal of medical signals and sensors.

Noise reduction of echocardiographic images based on temporal information

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

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.

Detection and identification of first and second heart sounds using empirical mode decomposition

Hamid Behnam, Kamran Hassani, Kourosh Bajelani, 2013, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

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.

ADAPTIVE SPARSE REPRESENTATION FOR MRI NOISE REMOVAL

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

Simulation of acoustic fields from 2D-array transducers with continuous wave excitation in homogeneous

Hamid Behnam, Elham Mokhtar Tajvidi, 2007 .

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.

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

Ali Sheikhani, Hamid Behnam, Maryam Noroozian, 2007 .

Novel approach for automatic mid-diastole frame detection in 2D echocardiography sequences for performing planimetry of the mitral valve orifice

Hamid Behnam, Mahtab Faraji, Mohammad Norizadeh Cherloo, 2020, IET Image Process..

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.

Combined Pulse Compression and Adaptive Beamforming in Coded Excitation Ultrasound Medical Imaging

Hamid Behnam, Tahereh Kahookar Toosi, 2009, 2009 International Conference on Signal Processing Systems.

Echocardiography without electrocardiogram using nonlinear dimensionality reduction methods

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

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.

Automatic segmentation of brain MRI in high-dimensional local and non-local feature space based on sparse representation.

Hamid Behnam, Emad Fatemizadeh, Mohammad Mahdi Khalilzadeh, 2013, Magnetic resonance imaging.

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..

Estimation method for sensitivity of the sound pressure between two finite sizes transducers

Hamid Behnam, Shigeo Ohtsuki, 1997 .

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

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

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

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

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.

Temporal super resolution of ultrasound images using compressive sensing

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

An Optimized Two-Stage Method for Ultrasound Breast Image Compression

Hamid Behnam, Javad Alirezaie, Alireza Ahmadian, 2008 .

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).

Echocardiography noise reduction using sparse representation

Hamid Behnam, Farzan Haddadi, Parisa Gifani, 2016, Comput. Electr. Eng..

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.

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.

Compressive sensing theory and neighborhood spatial‐temporal information for frame rate improvement of dynamic ultrasonic imaging

Hamid Behnam, Maryam Shojaeifard, Mina Hosseinpour, 2020 .

Real-time monitoring of high-intensity focused ultrasound thermal therapy using the manifold learning method.

Hamid Behnam, Jahan Tavakkoli, Parisa Rangraz, 2014, Ultrasound in medicine & biology.

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

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

MRI and PET Image Fusion by Using Curvelet Transform

Hamid Behnam, Emad Fatemizadeh, Nasrin Amini, 2014 .

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..

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).

Secure transmission of images based on chaotic systems and cipher block chaining

Hamid Behnam, Arash Karimi, Mahdieh Karimi Lakhani, 2013, J. Electronic Imaging.

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 .

Modeling skull's acoustic attenuation and dispersion on photoacoustic signal

Leila Mohammadi, Hamid Behnam, M. R. Nasiriavanaki, 2017, BiOS.

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.

An optimized probabilistic edge based level set method for left ventricle segmentation in echocardiography images

Hamid Behnam, Emad Fatemizadeh, Nima Sahba, 2017 .

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.

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.

A New Approach to Compression of Medical Ultrasound Images Using Wavelet Transform

Hamid Behnam, Elham Shahhoseini, Nasrin Ahmadi Nejad, 2010, 2010 Third International Conference on Advances in Circuits, Electronics and Micro-electronics.

Temporal Super-resolution of Ultrasound Imaging Using Matrix Completion

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

Skull's acoustic attenuation and dispersion modeling on photoacoustic signal

Leila Mohammadi, Hamid Behnam, Jahan Tavakkoli, 2018, BiOS.

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).

Frame Rate Up-Conversion in Echocardiography Images, Using Manifold-Learning and Image Registration

Hamid Behnam, Zahra Alizadeh Sani, Asieh Daneshi, 2018 .

A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging

Hamid Behnam, Sajjad Afrakhteh, H. Behnam, 2020, Int. J. Imaging Syst. Technol..

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.

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

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

Echocardiography frames quantification by empirical mode decomposition method

Hamid Behnam, Emad Fatemizadeh, Zahra Alizadeh Sani, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

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.

Speed improvement in graph-cuts-based registration for non-rigid image registration of brain magnetic resonance images

Hamid Behnam, Emad Fatemizadeh, Farnaz ZohourParvaz, 2017 .

High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding

Hamid Behnam, Sajjad Afrakhteh, Maryam Hashemseresht, 2022, Biomed. Signal Process. Control..

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.

Echocardiography image enhancement using texture-cartoon separation

Hamid Behnam, Maryam Shojaeifard, Mohammad Jalali, 2021, Comput. Biol. Medicine.

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.

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.

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.

Modeling Twinkling Artifact in Sonography

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

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

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

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.

FULLY AUTOMATIC SEGMENTATION OF LEFT VENTRICLE IN A SEQUENCE OF ECHOCARDIOGRAPHY IMAGES OF ONE CARDIAC CYCLE BY DYNAMIC DIRECTIONAL VECTOR FIELD CONVOLUTION (DDVFC) METHOD AND MANIFOLD LEARNING

Hamid Behnam, Ahmad Shalbaf, S. Ghanbari Maman, 2013 .

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.

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

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

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

Ali Sheikhani, Hamid Behnam, Sara Bagherzadeh, 2015 .

Denoising Medical Images using Calculus of Variations

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

A Modified Time-Domain Approach for Modelling the Ultrasound Signal from Blood-Flow

Hamid Behnam, Arash Hajjam, 2008 .

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.

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.

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.

Noise reduction in echocardigraphy images using Contourlet transform

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