Welcome to Dr.Behzad Nazari

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Office : Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran Email : nazari at cc.iut.ac.ir Phone : +98 313 3915369 Fax : +98 313 3912451 Web Site : Behzad Nazari

Assistant Professor

Research Fields : Digital Signal Processing

Image Processing

Neural Computing & Applications

Teaching

Digital Image Processing

Recent Publications

Fuzzy high-order sliding-mode control of blood glucose concentration

Iron ore green pellet diameter measurement by using of image processing techniques

CNV-Net: Segmentation, Classification and Activity Score Measurement of Choroidal Neovascularization (CNV) Using Optical Coherence Tomography Angiography (OCTA)

Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity

Spike Sorting of Non-Stationary Data in Successive Intervals Based on Dirichlet Process Mixtures

Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework

Deep Recurrent Neural Network and Point Process Filter Approaches in Multidimensional Neural Decoding Problems

Physiological constraints of visual pathway lead to more efficient coding of information in retina

Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling

Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework

A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells

Detection of pulmonary nodules in low-dose computed tomography using localized active contours and shape features

Efficient Bayesian approach to saliency detection based on Dirichlet process mixture

Automated intra-retinal, sub-retinal and sub-RPE cyst regions segmentation in age-related macular degeneration (AMD) subjects

Detection of pulmonary nodules in low-dose computed tomography using localized active contours and shape features

Automated Fluid/Cyst Segmentation: A Quantitative Assessment of Diabetic Macular Edema

Fully-automated segmentation of fluid regions in exudative age-related macular degeneration subjects: Kernel graph cut in neutrosophic domain

Fully automated segmentation of fluid/cyst regions in optical coherence tomography images with diabetic macular edema using neutrosophic sets and graph algorithms

Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms

Effective pixel classification of Mars images based on ant colony optimization feature selection and extreme learning machine

Efficient Bayesian approach to saliency detection based on Dirichlet process mixture

An industrial image processing-based approach for estimation of iron ore green pellet size distribution

Wavelet Network Approach for Structural Damage Identification Using Guided Ultrasonic Waves

GUW-based structural damage detection using WPT statistical features and multiclass SVM

High resolution imaging of IgG and IgM molecules by scanning tunneling microscopy in air condition

Syllable Duration Prediction for Farsi Text-to-Speech Systems

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Welcome to Dr.Behzad Nazari

Teaching

Recent Publications