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; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2020)

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; et al. (Comput. Biol. Medicine, 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)

Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning. - Navid Ghassemi; Afshin Shoeibi; Marjane Khodatars; Jónathan Heras; Alireza Rahimi; Assef Zare; Ram Bilas Pachori; 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 001; Maryam Panahiazar; et al. (CoRR, 2021)

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. - Ali Akbar Kekha Javan; Mahboobeh Jafari; Afshin Shoeibi; Assef Zare; Marjane Khodatars; Navid Ghassemi; Roohallah Alizadehsani; Juan Manuel Górriz (Sensors, 2021)

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)

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 001; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 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)

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; et al. (CoRR, 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)

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; et al. (Inf. Fusion, 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 001; Shui-Hua Wang; Juan Manuel Górriz; et al. (Comput. Biol. Medicine, 2023)

Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning. - Navid Ghassemi; Afshin Shoeibi; Marjane Khodatars; Jónathan Heras; Alireza Rahimi; Assef Zare; Yu-Dong Zhang 001; Ram Bilas Pachori; Juan Manuel Górriz (Appl. Soft Comput., 2023)

Emotion recognition in EEG signals using deep learning methods: A review. - Mahboobeh Jafari; Afshin Shoeibi; Marjane Khodatars; Sara Bagherzadeh; Ahmad Shalbaf; David López-García; Juan Manuel Górriz; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models. - Afshin Shoeibi; Marjane Khodatars; Hamid Alinejad-Rokny; Jónathan Heras; Sara Bagherzadeh; Amin Beheshti; Juan Manuel Górriz (IWINAC, 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; et al. (Neurocomputing, 2024)