Navid Ghassemi

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Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, ArXiv.

Robust Adaptive Synchronization of a Class of Uncertain Chaotic Systems with Unknown Time-Delay

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2020 .

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works

S. Nahavandi, J. Górriz, M. Teshnehlab, 2021, Comput. Biol. Medicine.

Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression

U. Acharya, J. Górriz, A. Khosravi, 2022, ArXiv.

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review

A. Subasi, U. Acharya, J. Górriz, 2022, ArXiv.

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review

A. Subasi, U. Acharya, J. Górriz, 2022, ArXiv.

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

S. Nahavandi, U. Acharya, J. Górriz, 2021, Comput. Biol. Medicine.

A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection

E. F. Ersi, Ehsan Fazl-Ersi, Navid Ghassemi, 2022, ArXiv.

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

A. Subasi, U. Acharya, J. Górriz, 2022, Frontiers in Molecular Neuroscience.

Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review

U. Acharya, J. Górriz, A. Khosravi, 2022, ArXiv.

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence

U. Acharya, J. Górriz, A. Khosravi, 2022, ArXiv.

Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

U. Acharya, J. Górriz, A. Khosravi, 2022, Cognitive Neurodynamics.

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

J. Górriz, A. Khosravi, Usha R. Acharya, 2022, Inf. Fusion.

Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works pdf

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, ArXiv.

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

S. Nahavandi, U. Acharya, A. Khosravi, 2020, ArXiv.

Epileptic seizures detection in EEG signals using TQWT and ensemble learning

Navid Ghassemi, Afshin Shoeibi, Modjtaba Rouhani, 2019, 2019 9th International Conference on Computer and Knowledge Engineering (ICCKE).

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

Navid Ghassemi, Afshin Shoeibi, Modjtaba Rouhani, 2020, Biomed. Signal Process. Control..

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomed. Signal Process. Control..

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, Frontiers in Neuroinformatics.

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, Comput. Biol. Medicine.

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, Expert Syst. Appl..

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Sensors.

Epileptic Seizures Detection Using Deep Learning Techniques: A Review pdf

Amir F. Atiya, U. Rajendra Acharya, Navid Ghassemi, 2020, International journal of environmental research and public health.

Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning pdf

Navid Ghassemi, Afshin Shoeibi, Ram Bilas Pachori, 2021, Applied Soft Computing.

Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models

J. Górriz, A. Shoeibi, Navid Ghassemi, 2022, IWINAC.

Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model

J. Górriz, A. Shoeibi, A. Zare, 2022, IWINAC.

Material recognition for construction quality monitoring using deep learning methods

A. Khosravi, Sadiq Hussain, F. Nasirzadeh, 2023, Construction Innovation.

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

U. Acharya, J. Górriz, A. Khosravi, 2023, Comput. Biol. Medicine.

An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works

R. Alizadehsani, A. Shoeibi, Navid Ghassemi, 2021, ArXiv.

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

S. Nahavandi, A. Khosravi, Peng Shi, 2020, Neurocomputing.

Epileptic seizure detection using deep learning techniques: A Review

A. Atiya, Sadiq Hussain, R. Alizadehsani, 2020, ArXiv.

Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models pdf

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, ArXiv.

An Efficient Brain MR Images Segmentation Hardware Using Kernel Fuzzy C-Means

Navid Ghassemi, Afshin Shoeibi, Modjtaba Rouhani, 2019, 2019 26th National and 4th International Iranian Conference on Biomedical Engineering (ICBME).