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

129 citations · 259 across the 23 of their papers we have counts for

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Showing 2020Show all

8 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…

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…

cs.CY2020★ 3 cited

Towards Domain-Specific Characterization of Misinformation

Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1

The rapid dissemination of health misinformation poses an increasing risk to public health. To best understand the way of combating health misinformation, it is important to acknow…

q-bio.TO2020★ 1 cited

Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves

Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath +5

Hyperspectral (HS) imaging was successfully employed in the 380 nm to 1000 nm wavelength range to investigate the efficacy of detecting age, healthiness and individual nutrient def…

eess.IV2020

Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm

Muhammad Rafiqul Islam, Manoranjan Paul

In computer vision applications, the visibility of the video content is crucial to perform analysis for better accuracy. The visibility can be affected by several atmospheric inter…

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…

cs.CV2020

A Practical Blockchain Framework using Image Hashing for Image Authentication

Cameron White, Manoranjan Paul, Subrata Chakraborty

Blockchain is a relatively new technology that can be seen as a decentralised database. Blockchain systems heavily rely on cryptographic hash functions to store their data, which m…

cs.CY2020

Automatically Assessing Quality of Online Health Articles

Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1

The information ecosystem today is overwhelmed by an unprecedented quantity of data on versatile topics are with varied quality. However, the quality of information disseminated in…