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20202022
most citedEpileptic Seizures Detection Using Deep Learning Techniques: A Review

463 citations · 775 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.LG2022★ 6 cited

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 +7

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…

cs.LG2021

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression

Assef Zare, Afshin Shoeibi, Narges Shafaei +4

Many works have been done to handle the uncertainties in the data using type 1 fuzzy regression. Few type 2 fuzzy regression works used interval type 2 for indeterminate modeling u…

cs.LG2020★ 100 cited

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

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +12

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated…

cs.LG2020★ 36 cited

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

Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi +12

Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) techniques…

cs.LG2020★ 463 cited

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi +14

A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. Artificial…