Parisa Moridian

According to our database, Parisa Moridian authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automated detection and forecasting of COVID-19 using deep learning techniques: A review.

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz

Neurocomputing, 2024

Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI.

Mohammad Bdaqli, Afshin Shoeibi, Parisa Moridian, Delaram Sadeghi, Mozhde Firoozi Pouyani, Ahmad Shalbaf, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

2023

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

Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya

Comput. Biol. Medicine, June, 2023

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

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz

Inf. Fusion, May, 2023

2022

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works.

Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem, Roohallah Alizadehsani, Sai Ho Ling

WIREs Data Mining Knowl. Discov., 2022

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

Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya

CoRR, 2022

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

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, Juan Manuel Górriz, Amir Hossein Chale-Chale, Ali Khadem, U. Rajendra Acharya

CoRR, 2022

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

Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya

Comput. Biol. Medicine, 2022

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

Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya

Comput. Biol. Medicine, 2022

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies.

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz

Biomed. Signal Process. Control., 2022

2021

Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication.

Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi

Sensors, 2021

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

Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz

Frontiers Neuroinformatics, 2021

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression.

Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi

CoRR, 2021

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

Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz

CoRR, 2021

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

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi

CoRR, 2021

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

Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi

CoRR, 2021

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya

Comput. Biol. Medicine, 2021

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.

Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk

Comput. Biol. Medicine, 2021

2020

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

Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi

CoRR, 2020

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

Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk

CoRR, 2020

Epileptic seizure detection using deep learning techniques: A Review.

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya

CoRR, 2020