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20192023
most citedComputer Vision For COVID-19 Control: A Survey

129 citations · 307 across the 17 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.IV2020

MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features

Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5

The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…

cs.CR2020★ 15 cited

COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework

Anwaar Ulhaq, Oliver Burmeister

To address COVID-19 healthcare challenges, we need frequent sharing of health data, knowledge and resources at a global scale. However, in this digital age, data privacy is a big c…

cs.CV2020★ 59 cited

Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens

Asim Khan, Umair Nawaz, Anwaar Ulhaq +1

In the Agriculture sector, control of plant leaf diseases is crucial as it influences the quality and production of plant species with an impact on the economy of any country. Ther…

eess.IV2020★ 2 cited

Potential Features of ICU Admission in X-ray Images of COVID-19 Patients

Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5

X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…

eess.IV2020★ 129 cited

Computer Vision For COVID-19 Control: A Survey

Anwaar Ulhaq, Asim Khan, Douglas Gomes +1

The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intell…