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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

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Showing 2020Show all

6 papers · 1 filter

cs.AI2020

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain +12

Understanding data and reaching valid conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have widespread applic…

eess.IV2020

Development of novel algorithm to visualize blood vessels on 3D ultrasound images during liver surgery

Fatemeh Salehihafshejani, Alireza Ahmadian, Afshin Shoeibi +5

Volume visualization is a method that displays three-dimensional (3D) data in two-dimensional (2D) space. Using 3D datasets instead of 2D traditional images improves the visualizat…

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…

cs.CV2020★ 26 cited

Material Recognition for Automated Progress Monitoring using Deep Learning Methods

Hadi Mahami, Navid Ghassemi, Mohammad Tayarani Darbandy +7

Recent advancements in Artificial intelligence, especially deep learning, has changed many fields irreversibly by introducing state of the art methods for automation. Construction…