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ISI @ Peer Reviewd Journals

ISI Papers

 | تاریخ ارسال: 1394/10/19 | 
  1. Feasibility Study of Echocardiographic Images Segmentation Based on Sparse Representation
    S Fouladifard, H Behnam, P Gifani, M Shojaeifard - Iranian Journal of Electrical and Electronic Engineering, 2022
  2. Efficient synthetic transmit aperture ultrasound based on tensor completion
    S Afrakhteh, H Behnam - Ultrasonics, 2021
  3. Temporal Registration of Cardiac Multimodal Images Using Locally Linear Embedding Algorithm
    Talayeh Ghodsizad, Hamid Behnam, Emad Fatemizadeh, Taraneh Faghihi Langroudi, Fariba Bayat- Frontiers in Biomedical Technologies, 2021
  4. Compressive sensing theory and neighborhood spatial‐temporal information for frame rate improvement of dynamic ultrasonic imaging
    M Hosseinpour, H Behnam, M Shojaeifard
    International Journal of Imaging Systems and Technology 31 (3), 1334-1356, 2021
  5. Speckle tracking accuracy enhancement by temporal super-resolution of three-dimensional echocardiography images
    M Jalali, H Behnam
    Journal of Medical Signals and Sensors 11 (3), 177, 2021
  6. Spatiotemporal registration and fusion of transthoracic echocardiography and volumetric coronary artery tree
    T Ghodsizad, H Behnam, E Fatemizadeh, TF Langroudi, F Bayat
    International Journal of Computer Assisted Radiology and Surgery, 1-13, 2021
  7. Coherent Plane Wave Compounding Combined with Tensor Completion Applied for Ultrafast Imaging
    S Afrakhteh, H Behnam
    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021
  8. 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
  9. Echocardiography Image Enhancement using Texture-cartoon Separation
    M Jalali, H Behnam, M Shojaeifard
    Computers in Biology and Medicine, 104535, 2021
  10. Diagnosis of multiple sclerosis using graph-theoretic measures of cognitive task-based functional connectivity networks
    SNM Ashtiani, H Behnam, MR Daliri
    IEEE Transactions on Cognitive and Developmental Systems, 2021
  11. Hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) diagnosis using echocardiography and electrocardiography
    Y Forghani, H Behnam, M Shojaeifard - Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021
  12. 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
  13. Novel approach for automatic mid-diastole frame detection in 2D echocardiography sequences for performing planimetry of the mitral valve orifice
    M Faraji, H Behnam, MN Cherloo, M Shojaeifard
    IET Image Processing 14 (12), 2890-2900, 2020
  14. Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation study
    L Mohammadi, H Behnam, J Tavakkoli, K Avanaki
    Biomedical Optics Express 11 (10), 5542-5556, 2020
  15. Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization
    S Afrakhteh, H Behnam
    Biomedical Signal Processing and Control 62, 102110, 2020
  16. Carotid wall longitudinal motion in ultrasound imaging: An expert consensus review
    Fereshteh Yousefi Rizi, Jason Au, Heikki Yli-Ollila, Spyretta Golemati, Monika Makūnaitė, Maciej Orkisz, Nassir Navab, Maureen MacDonald, Tiina Marja Laitinen, Hamid Behnam, Zhifan Gao, Aimilia Gastounioti, Rytis Jurkonis, Didier Vray, Tomi Laitinen, André Sérusclat, Konstantina S Nikita, Guillaume Zahnd - Ultrasound in Medicine & Biology, 2020
  17. Temporal Super-resolution of Ultrasound Imaging Using Matrix Completion
    M Hosseinpour, H Behnam, M Shojaeifard
    Ultrasonic imaging 42 (3), 115-134, 2020
  18. Temporal super-resolution of 2D/3D echocardiography using cubic B-spline interpolation
    M Jalali, H Behnam, F Davoodi, M Shojaeifard
    Biomedical Signal Processing and Control 58, 101868, 2020
  19. Characterisation of the effects of age and body mass index on the ultrasound carotid artery wall using RF time series
    S Sharifi, H Behnam, Z Alizadehsani - Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2020
  20. Computer aided detection in automated 3-D breast ultrasound images: a survey
    E Kozegar, M Soryani, H Behnam, M Salamati, T Tan
    Artificial Intelligence Review 53 (3), 1919-1941, 2020
  21. Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI
    F Azarmi, SNM Ashtiani, A Shalbaf, H Behnam, MR Daliri
    Computers in biology and medicine 115, 103495, 2019
  22. Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI
    SNM Ashtiani, H Behnam, MR Daliri, GA Hossein-Zadeh, M Mehrpour
    Australasian physical & engineering sciences in medicine 42 (4), 921-938, 2019
  23. 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 & Computer Sciences 27 (6), 4340-4353, 2019
  24. Temporal super resolution of ultrasound images using compressive sensing
    M Hosseinpour, H Behnam, M Shojaeifard
    Biomedical Signal Processing and Control 52, 53-68, 2019
  25. A review on computer aided systems for mass detection using 3D automatic breast ultrasound (ABUS) images
    E Kozegar, M Soryani, H Behnam, M Salamati
    MACHINE VISION AND IMAGE PROCESSING 7 (2), 139-153, 2019
  26. High-intensity focused ultrasound lesion detection using adaptive compressive sensing based on empirical mode decomposition
    H Ghasemifard, H Behnam, J Tavakkoli
    Journal of medical signals and sensors 9 (1), 24, 2019
  27. Skull’s photoacoustic attenuation and dispersion modeling with deterministic ray-tracing: Towards real-time aberration correction
    L Mohammadi, H Behnam, J Tavakkoli, M Avanaki
    Sensors 19 (2), 345, 2019
  28. 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
  29. High-intensity focused ultrasound thermal lesion detection using entropy imaging of ultrasound radio frequency signal time series
    MM Monfared, H Behnam, P Rangraz, J Tavakkoli
    Journal of medical ultrasound 26 (1), 24, 2018
  30. Mass segmentation in automated 3-D breast ultrasound using adaptive region growing and supervised edge-based deformable model
    E Kozegar, M Soryani, H Behnam, M Salamati, T Tan
    IEEE transactions on medical imaging 37 (4), 918-928, 2017
  31. Toward high-intensity focused ultrasound lesion quantification using compressive sensing theory
    H Ghasemifard, H Behnam, J Tavakkoli - Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2017
  32. 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
  33. Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts
    E Kozegar, M Soryani, H Behnam, M Salamati, T Tan
    Ultrasonics 79, 68-80, 2017
  34. Determining Mass Boundary in 3D Automated Breast Ultrasound Images Using a Deformable Model
    E Kozegar, M Soryani, H Behnam, M Salamati, T Tan
    Iranian Quarterly Journal of Breast Disease 10 (2), 16-26, 2017
  35. 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
  36. Quantification of Left Ventricle Function in Stress Echocardiography Using Endocardial Area Centroid Trajectory
    M Jalali, H Behnam, M Shojaeifard, ZA Sani
    Journal of medical signals and sensors 7 (1), 49, 2017
  37. Echocardiography noise reduction using sparse representation
    P Gifani, H Behnam, F Haddadi, ZA Sani, P Gifani
    Computers & Electrical Engineering 53, 301-318, 2016
  38. Radio frequency ultrasound time series signal analysis to evaluate high-intensity focused ultrasound lesion formation status in tissue
    S Mobasheri, H Behnam, P Rangraz, J Tavakkoli
    Journal of medical signals and sensors 6 (2), 91, 2016
  39. Characterizing awake and anesthetized states using a dimensionality reduction method
    M Mirsadeghi, H Behnam, R Shalbaf, HJ Moghadam
    Journal of Medical Systems 40 (1), 1-8, 2016
  40. Elnaz Golchin · Seyed Kamaledin Setarehdan · Hamid Behnam," Automatic And Concurrent Determination Of Optimal Values Of Nonlocal Means Filtering Parameters Based On Bayesian Formulation In Ivus Images", Biomedical Engineering Applications Basis And Communications · December 2015
  41. Parisa Gifani · Hamid Behnam · Farzan Haddadi · Zahra Alizadeh Sani · Peyman Gifani," Echocardiography noise reduction using sparse representation", COMPUTERS & ELECTRICAL ENGINEERING · JANUARY 2016
  42. M Mirsadeghi, H Behnam, R Shalbaf, H Jelveh Moghadam,” Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method”, Journal of medical systems Vol. 40
  43. Parisa Gifani, Hamid Behnam, Farzan Haddadi, Zahra Alizadeh Sani, Maryam Shojaeifard,” Temporal Super Resolution Enhancement of Echocardiographic Images based on Sparse Representations”, Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on  (Volume:63)
  44. Reza Shalbaf, Hamid Behnam, Jamie Sleigh,” Order Patterns Recurrence Analysis Of Electroencephalogram During Sevoflurane Anesthesia”, Biomedical Engineering: Applications, Basis and Communications 2015, 27(05),
  45. Letter to the Editor Regarding Paper “Automatic Computation of Left Ventricular Volume Changes over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction” A Shalbaf, H Behnam, Journal of digital imaging (2015), 28 (2), 130-131
  46. Zahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam, Reza Shalbaf, "Automatic computation of left ventricular volume changes over a cardiac cycle from echocardiography images by nonlinear dimensionality reduction", Journal of digital imaging (2015), 28 (1), 91-98
  47. R. Shalbaf, H. Behnam & H. Jelveh Moghadam, "Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables", Cognitive Neurodynamics, February 2015, Volume 9, Issue 1, pp 41-51
  48. Ahmad Shalbaf, Zahra AlizadehSani, Hamid Behnam, "Echocardiography without electrocardiogram using nonlinear dimensionality reduction methods", Journal of Medical Ultrasonics, (2015), 42 (2), 137-149
  49. Fereshteh Yousefi Rizi, Seyed Kamaledin Setarehdan, Hamid Behnam, Zahra Alizadeh Sani, “Study of the effects of age and body mass index on the carotid wall vibration: Extraction methodology and analysis”, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2014 Jul;228(7):714-29
  50. Reza Shalbaf, Hamid Behnam, Jamie W Sleigh, D Alistair Steyn-Ross, Moira L Steyn-Ross, “Frontal-Temporal Synchronization of EEG Signals Quantified by Order Patterns Cross Recurrence Analysis During Propofol Anesthesia” Neural Systems and Rehabilitation Engineering, IEEE Transactions on  (2015) Volume:23 Issue:3, 468 - 474
  51. P Rangraz, H Behnam, P Sobhebidari, J Tavakkoli "Real-Time Monitoring of High-Intensity Focused Ultrasound Thermal Therapy Using the Manifold Learning Method"  , Ultrasound in medicine & biology (2014), 40 (12), 2841-2850
  52. P Gifani, H Behnam, ZA Sani, “Noise reduction of echocardiographic images based on temporal information”, Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on (2014), Vol.61, 4, 620-630
  53. Nasrin Amini, E Fatemizadeh, Hamid Behnam, “MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules”, Journal of medical engineering & technology (2014), Vol.38, 4, 211-219
  54. Parisa Rangraz, Hamid Behnam,Jahan Tavakkoli, "Nakagami imaging for detecting thermal lesions induced by high-intensity focused ultrasound in tissue", Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine )2014(, Vol. 228, 1, 19-26
  55. Parisa Rangraz, Hamid Behnam, Pooya Sobhe Bidari, Naser Shakhssalim, Jahan Tavakkoli, “Dynamic Changes In The Acousto-Mechanical And Statistical Parameters Of Tissue During High Intensity Focused Ultrasound (Hifu) Treatment”, Biomedical Engineering: Applications, Basis and Communications, Volume 26, Issue 01, February 2014
  56. FZ Jahromy, H Behnam, K Mansoori, AA Rahimi, R Edalat, JI Mobarake, "The effect of ultrasound on the expression of CNTF gene, a possible cause of ultrasound influence on the rate of injured peripheral nerve regeneration", Australas Phys Eng Sci Med (2013), 36:323-329
  57. Kourosh Bajelani,Mahdi Navidbakhsh, Hamid Behnam, John D.Doyle, Kamran Hassani,"Detection and identification of S1 and S2 heart sounds using empirical mode decomposition", Proc IMechE Part H: J Engineering in Medicine, 227(9) 976–987
  58. R Shalbaf, H Behnam, J Sleigh, A Steyn-Ross, L Voss,"Monitoring the depth of anesthesia using entropy features and artificial neural network",Journal of Neuroscience Methods 218 (2013) 17– 24
  59. A Shalbaf, H Behnam, Z Alizade-Sani, M Shojaifard, “Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reduction”, Med. Phys. 40 (5), May 2013
  60. Parisa Rangraz, Hamid Behnam, Naser Shakhssalim, Pooya Sobhe Bidari,Jahan Tavakkoli "Dynamic changes in the acousto-mechanical and statistical parameters of tissue during high intensity focused ultrasound (HIFU) treatment", Biomedical Engineering: Applications, Basis and Communications, 26 (01), Feb. 2014
  61. MM Khalilzadeh, E Fatemizadeh, H Behnam "  Automatic segmentation of brain MRI in high-dimensional local and non-local feature space based on sparse representation", Magnetic Resonance Imaging 31 (2013) 733–741
  62. S. Ghanbari Maman, A. Shalbaf, H. Behnam, Z. Alizadeh Sani and M. Shojaei Fard "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", Biomedical Engineering: Applications, Basis and Communications, Vol. 25, No. 3 (2013) 1350022
  63. MK Lakhani, H Behnam, A Karimi, "Secure transmission of images based on chaotic systems and cipher block chaining", Journal of Electronic Imaging 22 (1), 013025-013025 (2013)
  64. Mohammad Mahdi Khalilzadeh, Emad Fatemizadeh and Hamid Behnam "Adaptive Sparse Representation For Mri Noise Removal", Biomedical Engineering: Applications, Basis and Communications, Vol. 24, No. 5 (2012) 1-12
  65. Ahmad Shalbaf, Hamid Behnam, Zahra, Alizade-Sani & Maryam Shojaifard "Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration", J Digit Imaging  26(1) DOI 10.1007/s10278-012-9543-x, Feb. 2013
  66. Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, Maryam Shojaifard " Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration", Int J CARS (2012) 7:769–783
  67. Zhamak Akhlaghi, Jalal Izadi Mobarakeh, Mehrdad Mokhtari, Hamid Behnam, Amir Abbas Rahimi, Mohammad Saleh Khajeh Hosseini and Farzaneh Samiee "The Effects of Altered Ultrasound Parameters on the Recovery of Sciatic Nerve Injury", Iranian Biomedical Journal 16 (2): 107-112 (April 2012)
  68. R. Shalbaf, H. Behnam, J. Sleighand L. Voss, "Measuring the effects of sevoflurane on electroencephalogram using sample entropy", Acta Anaesthesiol Scand 2012 ;56: 880–889;
  69. R Shalbaf, H Behnam, JW Sleighand L J Voss, "Using the Hilbert–Huang transform to measure the electroencephalographic effect of propofol", Physiol. Meas. 33 (2012) 271–285
  70. Fahimeh Sadat Zakeri, Hamid Behnam and Nasrin Ahmadinejad "Classification of Benign and Malignant Breast Masses Based on Shape and Texture Features in Sonography Images" J Med Syst (2012) 36:1621–1627
  71. ParisaGifani, Hamid Behnam, Ahmad Shalbaf and Zahra AlizadehSani, "Automatic detection of end-diastole and end-systole from echocardiography images using manifold learning" Physiological Measurement, Volume 31, Number 9, 1091, September 2010
  72. Hamid Behnam, Fahimeh Sadat Zakeri and Nasrin Ahmadinejad, " Breast mass classification on sonographic images on the basis of shape analysis" Journal of Medical Ultrasonics, Volume 37, Number 4, October 2010, 181-186, DOI:10.1007/s10396-010-0278-3
  73. Ali Sheikhani, Hamid Behnam, Mohammad Reza Mohammadi, Maryam Noroozian and Mohammad Mohammadi"Detection of Abnormalities for Diagnosing of Children with Autism Disorders Using of Quantitative Electroencephalography Analysis " J Med Syst (2012) 36:957–963
  74. Ali Sheikhani, Hamid Behnam, Maryam Noroozian,Mohammad Reza Mohammadi, Mohammad Mohammadi "Abnormalities of quantitative electroencephalography in children with Asperger disorder in various conditions" Research in Autism Spectrum Disorders 3 (2009)538–546
  75. Leili Salehi and Hamid Behnam, "Extracting the small vibrations of a vessel wall" 2008 Physiol. Meas. 29 1041-1053
  76. Hamid Behnam, Shigeo Ohtsuki, and Motonao Tanaka, “ Phase correction on ultrasound speed measurement,” Journal of the Acoustical Society of Japan (E) 19(2), 141-150, 1998-03
  77. Hamid Behnam, Shigeo Ohtsuki, and Motonao Tanaka, “Diffraction correction in measuring ultrasound phase velocity in  samples,”Journal of Medical Ultrasonics, Vol. 24, No.7, 3-9, 1997

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