most citedAutomatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning

16 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV202116 cited

Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning

Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars +5

The outbreak of the corona virus disease (COVID-19) has changed the lives of most people on Earth. Given the high prevalence of this disease, its correct diagnosis in order to quar…

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…

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.CV2020

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…