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researcher

Shakib Yazdani

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

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

42 citations · 42 across the 2 of their papers we have counts for

collaborators

3 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…

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