Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images. - Navid Ghassemi; Afshin Shoeibi; Modjtaba Rouhani (Biomed. Signal Process. Control., 2020)

Material Recognition for Automated Progress Monitoring using Deep Learning Methods. - Navid Ghassemi; Hadi Mahami; Mohammad Tayarani Darbandi; Afshin Shoeibi; Sadiq Hussain; Farnad Nasirzadeh; Roohallah Alizadehsani; Darius Nahavandi; Abbas Khosravi; Saeid Nahavandi (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; 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)

Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks. - Emad Aghajanzadeh; Behzad Shomali; Diba Aminshahidi; Navid Ghassemi (CLEF (Working Notes), 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)

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)

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)

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. - Afshin Shoeibi; Navid Ghassemi; Roohallah Alizadehsani; Modjtaba Rouhani; Hossein Hosseini-Nejad; Abbas Khosravi; Maryam Panahiazar; Saeid Nahavandi (Expert Syst. Appl., 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 001; Juan Manuel Górriz (Frontiers Neuroinformatics, 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)

Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models. - Afshin Shoeibi; Navid Ghassemi; Jónathan Heras; Mitra Rezaei; Juan Manuel Górriz (IWINAC (1), 2022)

Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model. - Afshin Shoeibi; Mitra Rezaei; Navid Ghassemi; Zahra Namadchian; Assef Zare; Juan Manuel Górriz (IWINAC (1), 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)

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

A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection. - Navid Ghassemi; Ehsan Fazl Ersi (CoRR, 2022)

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. - Mahboobeh Jafari; Afshin Shoeibi; Navid Ghassemi; Jónathan Heras; Abbas Khosravi; Sai Ho Ling; Roohallah Alizadehsani; Amin Beheshti; Yu-Dong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; U. Rajendra Acharya; et al. (CoRR, 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)

Moo-ving Beyond Tradition: Revolutionizing Cattle Behavioural Phenotyping with Pose Estimation Techniques. - Navid Ghassemi; Ali Goldani; Ian Q. Whishaw; Majid H. Mohajerani (CoRR, 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)