Armin Allahverdy
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View article: Transcutaneous Auricular Vagus Nerve Stimulation Restores Cognitive Impairment in Morphine‐Withdrawn Rats: Role of BDNF and Glial Cells in the Hippocampus
Transcutaneous Auricular Vagus Nerve Stimulation Restores Cognitive Impairment in Morphine‐Withdrawn Rats: Role of BDNF and Glial Cells in the Hippocampus Open
Opioid use disorder (OUD) is a significant mental health problem, with prolonged usage potentially resulting in tolerance, addiction and cognitive decline, including learning and memory deficiency. At present, pharmacotherapy serves as the…
View article: Early life brain network connectivity antecedents of executive function in children born preterm
Early life brain network connectivity antecedents of executive function in children born preterm Open
Preterm birth is associated with an increased risk of executive function (EF) deficits, yet the underlying neural mechanisms remain unclear. We combine diffusion MRI, resting-state functional MRI, and graph theory analyses to examine how s…
View article: Corpus Callosum Abnormalities at Term-Equivalent Age Are Associated with Language Development at 2 Years’ Corrected Age in Infants Born Very Preterm
Corpus Callosum Abnormalities at Term-Equivalent Age Are Associated with Language Development at 2 Years’ Corrected Age in Infants Born Very Preterm Open
We studied the effect of microstructural abnormalities in the corpus callosum on language development in 348 infants born very prematurely. We discovered that the fractional anisotropy of the corpus callosum anterior midbody was a signific…
View article: The Relaxing Effect of Smart Bracelet on Heart Rate in Taekwondo Athletes Before Qualifying for Matches
The Relaxing Effect of Smart Bracelet on Heart Rate in Taekwondo Athletes Before Qualifying for Matches Open
Background: Anxiety disorders are among the most common mental health concerns in people’s lifestyles. There are many traditional psychological methods to manage anxiety. Heart rate is the most relevant biomarker of the autonomic nervous s…
View article: Brain Tumor Segmentation using Hierarchical Combination of Fuzzy Logic and Cellular Automata
Brain Tumor Segmentation using Hierarchical Combination of Fuzzy Logic and Cellular Automata Open
Background: Magnetic resonance (MR) image is one of the most important diagnostic tools for brain tumor detection. Segmentation of glioma tumor region in brain MR images is challenging in medical image processing problems. Precise and reli…
View article: Semi-Automated Glioblastoma Tumor Detection based on Different Classifiers using Magnetic Resonance Spectroscopy
Semi-Automated Glioblastoma Tumor Detection based on Different Classifiers using Magnetic Resonance Spectroscopy Open
Purpose: Glioblastoma Multiform (GBM) is one of the most common and deadly malignant brain tumors. Surgery is the primary treatment, and careful surgery can minimize recurrence odds. Magnetic Resonance Imaging (MRI) imaging with Magnetic R…
View article: Gamma Spectrometry in the Presence of Fast Neutrons
Gamma Spectrometry in the Presence of Fast Neutrons Open
Purpose: In some gamma spectroscopy experiments, neutrons may also be present, so depending on experimental conditions, Gamma spectroscopy can be influenced by the presence of neutrons. Materials and Methods: In this study, a NaI(Tl)(63 mm…
View article: Extracting Mutual Interaction Rules Using Fuzzy Structured Agent-based Model of Tumor-Immune System Interactions
Extracting Mutual Interaction Rules Using Fuzzy Structured Agent-based Model of Tumor-Immune System Interactions Open
The results showed that using fuzzy structured agent-based model, we are able to show different output of the tumor-immune system interactions, which are caused by the stochastic behavior of each cell. But different output of the model jus…
View article: An agent-based model for investigating the effect of myeloid-derived suppressor cells and its depletion on tumor immune surveillance
An agent-based model for investigating the effect of myeloid-derived suppressor cells and its depletion on tumor immune surveillance Open
Using this new agent-based model, multiple injection of low-dose 5-FU could eliminate MDSCs and therefore might have the potential to be considered in treatment of cancers.
View article: Detection of Glioblastoma Multiforme Tumor in Magnetic Resonance Spectroscopy Based on Support Vector Machine
Detection of Glioblastoma Multiforme Tumor in Magnetic Resonance Spectroscopy Based on Support Vector Machine Open
Introduction: The brain tumor is an abnormal growth of tissue in the brain, which is one of the most important challenges in neurology. Brain tumors have different types. Some brain tumors are benign and some brain tumors are cancerous and…
View article: Differentiating Tumor and Edema in Brain Magnetic Resonance Images Using a Convolutional Neural Network
Differentiating Tumor and Edema in Brain Magnetic Resonance Images Using a Convolutional Neural Network Open
Purpose: Glioblastoma is the most common subset of glioma with a high grade of mortality. Early diagnosis may cause better therapeutic interventionsand brain MRI shows a good performance on tumor localization. Since manual tumor localizati…
View article: Performance Evaluation of MRI Tumor Segmentation Using Clustering Algorithms
Performance Evaluation of MRI Tumor Segmentation Using Clustering Algorithms Open
Background: Magnetic resonance imaging (MRI) segmentation assumes great importance in research and clinical applications.The brain segmentation using MRI is challenging due to a significant amount of noise caused by operator performance, s…
View article: Providing a Stochastic Petri Net Model for Interactions of the Immune System and B16-F10 Tumor Cells in order to Investigate the Effect of Myeloid-Derived Suppressor Cells (MDSC) on Behavioral States of Tumor
Providing a Stochastic Petri Net Model for Interactions of the Immune System and B16-F10 Tumor Cells in order to Investigate the Effect of Myeloid-Derived Suppressor Cells (MDSC) on Behavioral States of Tumor Open
Purpose: Using mathematical models for cancer treatment had excellent outcomes in recent years. Modeling of the tumor-immune interactions is possible by several mathematical models. Stochastic models such as Stochastic Petri Net (SPN) cons…
View article: Mitral Valve Prolapse Classification from an Echocardiography Sequence using Coherent Point Drift Method based on Fractal Dimension
Mitral Valve Prolapse Classification from an Echocardiography Sequence using Coherent Point Drift Method based on Fractal Dimension Open
Background: Mitral Valve Prolapse (MVP) is now recognized as the most common cardiovalvular abnormality (CVA) in the USA, but there has been much less agreement about other aspects of its epidemiology, diagnosis and clinical features. CVA…
View article: Determination and weighting the effective criteria in selecting a heat stress index using the Delphi technique and fuzzy analytic hierarchy process (FAHP)
Determination and weighting the effective criteria in selecting a heat stress index using the Delphi technique and fuzzy analytic hierarchy process (FAHP) Open
Introduction: To evaluate heat stress in the workplace different indices are used. But, none of these measures have been widely accepted. The aim of this study was to determine effective criteria in selecting a heat stress index and weight…
View article: Weighting Criteria and Prioritizing of Heat stress indices in surface mining using a Delphi Technique and Fuzzy AHP-TOPSIS Method
Weighting Criteria and Prioritizing of Heat stress indices in surface mining using a Delphi Technique and Fuzzy AHP-TOPSIS Method Open
The use of these strong methods allows introducing the most simple, precise, and applicable tool for evaluation the heat stress in hot environments. It seems that WBGT acts as an appropriate index for assessing the heat stress in mining ac…
View article: Non-auditory Effect of Noise Pollution and Its Risk on Human Brain Activity in Different Audio Frequency Using Electroencephalogram Complexity.
Non-auditory Effect of Noise Pollution and Its Risk on Human Brain Activity in Different Audio Frequency Using Electroencephalogram Complexity. Open
The complexity of EEG is a good measure for ranking the annoyance and non-auditory risk of noise pollution on human brain activity.
View article: Detecting ADHD Children using the Attention Continuity as Nonlinear Feature of EEG
Detecting ADHD Children using the Attention Continuity as Nonlinear Feature of EEG Open
Purpose: Attention Deficit Hyperactivity Disorder (ADHD) is the current description of the most prevalent psychiatric disorder of childhood. The essential feature is the developmentally inappropriate degree of inattention, impulsiveness an…