activity
20122020
most citedCOVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network

42 citations · 63 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2020★ 42 cited

COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network

Shakib Yazdani, Shervin Minaee, Rahele Kafieh +2

The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of man…

eess.IV2020

COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net

Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh +2

The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of man…

cs.CV2020

Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning

Shervin Minaee, Rahele Kafieh, Milan Sonka +2

The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the cru…

eess.IV2020

Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images

Mansooreh Montazerin, Zahra Sajjadifar, Elias Khalili Pour +7

Given the capacity of Optical Coherence Tomography (OCT) imaging to display symptoms of a wide variety of eye diseases and neurological disorders, the need for OCT image segmentati…

eess.IV2019

An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform based Discrete Grangeat's Formula

N. Teyfouri, H. Rabbani, R. Kafieh +1

The recent application of Fourier Based Iterative Reconstruction Method (FIRM) has made it possible to achieve high-quality 2D images from a fan beam Computed Tomography (CT) scan…

eess.IV2019

Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning

Elahe Mousavi, Rahele Kafieh, Hossein Rabbani

Age-related Macular Degeneration (AMD) and Diabetic Macular Edema (DME) are the major causes of vision loss in developed countries. Alteration of retinal layer structure and appear…

eess.IV2018★ 17 cited

Automatic Segmentation of Choroid Layer in EDI OCT Images Using Graph Theory in Neutrosophic Space

Bahareh Salafian, Rahele Kafieh, Abdolreza Rashno +2

The choroid is vascular tissue located underneath the retina and supplies oxygen to the outer retina; any damage to this tissue can be a precursor to retinal disease. Choroid is al…

cs.CV2013

Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography

Raheleh Kafieh, Hossein Rabbani, Fedra Hajizadeh +2

Purpose. This study was conducted to determine the thickness map of eleven retinal layers in normal subjects by spectral domain optical coherence tomography (SD-OCT) and evaluate t…

cs.CV2012★ 4 cited

Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map

Raheleh Kafieh, Hossein Rabbani, Michael D. Abramoff +1

Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal imaging. In this paper, we introduce a fast segmentation method based on a new variant of spectr…