Search Results - "Khodatars, Marjane"
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Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Published in Computers in biology and medicine (01-09-2021)“…Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of…”
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Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems
Published in Sensors (Basel, Switzerland) (07-06-2021)“…In this paper, a novel medical image encryption method based on multi-mode synchronization of hyper-chaotic systems is presented. The synchronization of…”
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RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Published in Scientific reports (01-07-2022)“…Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality rates. Invasive coronary angiography is the reference standard for…”
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Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Published in Frontiers in molecular neuroscience (04-10-2022)“…Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with…”
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Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Published in Computers in biology and medicine (01-12-2021)“…Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective rehabilitation is essential for the management of this disorder. Artificial…”
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Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Published in International journal of environmental research and public health (27-05-2021)“…A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI)…”
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Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Published in Biomedical signal processing and control (01-03-2022)“…•Automatic detection of epileptic seizures in EEG signals using new CADS based on artificial intelligence techniques.•The combining of fuzzy entropies for…”
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Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Published in Information fusion (01-05-2023)“…•Review of papers on the diagnosis of brain diseases using the fusion of neuroimaging modalities is presented.•For each brain disease, the most appropriate…”
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Emotion recognition in EEG signals using deep learning methods: A review
Published in Computers in biology and medicine (01-10-2023)“…Emotions are a critical aspect of daily life and serve a crucial role in human decision-making, planning, reasoning, and other mental states. As a result, they…”
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10
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Published in Neurocomputing (Amsterdam) (07-04-2024)“…In March 2020, the World Health Organization (WHO) declared COVID-19 a global epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using…”
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An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Published in Computers in biology and medicine (01-10-2022)“…Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include confusion, abnormal staring, and rapid, sudden, and…”
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Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Published in Applied soft computing (01-09-2023)“…The outbreak of the corona virus disease (COVID-19) has changed the lives of most people on Earth. Given the high prevalence of this disease, its correct…”
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Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
Published in Computers in biology and medicine (01-06-2023)“…In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. At early stages, CVDs appear with minor symptoms…”
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Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Published in Wiley interdisciplinary reviews. Data mining and knowledge discovery (01-11-2022)“…Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep apnea may last for a few seconds and happen for many while…”
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Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Published in Cognitive neurodynamics (01-12-2023)“…Nowadays, many people worldwide suffer from brain disorders, and their health is in danger. So far, numerous methods have been proposed for the diagnosis of…”
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Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Published 11-02-2024“…Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a…”
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Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
Published 24-04-2021“…The outbreak of the corona virus disease (COVID-19) has changed the lives of most people on Earth. Given the high prevalence of this disease, its correct…”
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Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Published 14-11-2022“…Nowadays, many people worldwide suffer from brain disorders, and their health is in danger. So far, numerous methods have been proposed for the diagnosis of…”
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Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Published 07-12-2021“…Biomedical Signal Processing and Control, Volume 73, 2022, 103417 Epileptic seizures are one of the most crucial neurological disorders, and their early…”
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Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Published 26-10-2022“…In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively…”
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