most citedEpileptic Seizures Detection Using Deep Learning Techniques: A Review

463 citations · 1.1k across the 7 of their papers we have counts for

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7 papers

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…

cs.CV2021★ 115 cited

Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients

Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi +10

COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classificati…

cs.LG2021★ 170 cited

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 +9

Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior, pe…

eess.IV2021

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir +13

The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to pre…

eess.IV2021★ 20 cited

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi +11

The new coronavirus has caused more than one million deaths and continues to spread rapidly. This virus targets the lungs, causing respiratory distress which can be mild or severe.…

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★ 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…