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

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

Publikováno v: Frontiers in Neuroinformatics, Vol 15 (2021)

Schizophrenia (SZ) is a mental disorder whereby due to the secretion of specific chemicals in the brain, the function of some brain regions is out of balance, leading to the lack of coordination between thoughts, actions, and emotions. This study pro

Externí odkaz: https://doaj.org/article/1600f8bfca8542d1a2ffc6f46ab008c8

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

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

Publikováno v: Information Fusion. 93:85-117

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2304990f555d1ea3ebd9d87b19273692
https://doi.org/10.1016/j.inffus.2022.12.010

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

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

Publikováno v: Cognitive Neurodynamics.

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 Schizophrenia (SZ) and attention deficit hyperactivity disorder (ADHD), among which functiona

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8d8f45d5be0b26b7d070007eecdc3a4
https://doi.org/10.1007/s11571-022-09897-w

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

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

Publikováno v: WIREs Data Mining and Knowledge Discovery. 12

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 sleeping. This reduction in breathing is associated with loud snoring, which may awaken the person

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d1732c23020f5e12eb1bc2e612a51bc
https://doi.org/10.1002/widm.1478

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

Autor: Navid Ghassemi, Hossein Hosseini-Nejad, Marjane Khodatars, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Udyavara Rajendra Acharya, Sadiq Hussain, Amir F. Atiya, Diba Aminshahidi, Mahboobeh Jafari, Fahime Khozeimeh, Modjtaba Rouhani, Parisa Moridian, Afshin Shoeibi, Abbas Khosravi, Roohallah Alizadehsani

Publikováno v: International Journal of Environmental Research and Public Health, Vol 18, Iss 5780, p 5780 (2021)
International Journal of Environmental Research and Public Health

A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. Artificial intelligence encompasses a variety of areas, and one of its branches i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a99dc07b7e09b32fd51d5b2da0ee24e0
https://www.mdpi.com/1660-4601/18/11/5780