activity
20202023
most citedEpileptic Seizures Detection Using Deep Learning Techniques: A Review

463 citations · 1.9k across the 23 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

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.CV2021

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors

Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir +4

One of the most common problems encountered in human-computer interaction is automatic facial expression recognition. Although it is easy for human observer to recognize facial exp…

eess.SP2021★ 154 cited

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7

Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electr…

eess.SP2021★ 205 cited

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

Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian +8

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 o…

cs.LG2021★ 92 cited

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 +9

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand movements.…

eess.IV2021★ 187 cited

Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +9

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. I…