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The Coronavirus Disease 2019 (COVID-19) pandemic has impacted many aspects of life globally, and a critical factor in mitigating its effects is screening individuals for infections, thereby allowing for both proper treatment for those…

Image and Video Processing · Electrical Eng. & Systems 2021-08-09 Alexander MacLean , Saad Abbasi , Ashkan Ebadi , Andy Zhao , Maya Pavlova , Hayden Gunraj , Pengcheng Xi , Sonny Kohli , Alexander Wong

With a Coronavirus disease (COVID-19) case count exceeding 10 million worldwide, there is an increased need for a diagnostic capability. The main variables in increasing diagnostic capability are reduced cost, turnaround or diagnosis time,…

Image and Video Processing · Electrical Eng. & Systems 2020-09-21 Hussin K. Ragb , Ian T. Dover , Redha Ali

The article explores different deep convolutional neural network architectures trained and tested on posteroanterior chest X-rays of 327 patients who are healthy (152 patients), diagnosed with COVID-19 (125), and other types of pneumonia…

Image and Video Processing · Electrical Eng. & Systems 2020-05-05 Pierre G. B. Moutounet-Cartan

This technical report proposes the use of a deep convolutional neural network as a preliminary diagnostic method in the analysis of chest computed tomography images from patients with symptoms of Severe Acute Respiratory Syndrome (SARS) and…

Image and Video Processing · Electrical Eng. & Systems 2022-08-24 Victor Felipe Reis-Silva

As the COVID-19 pandemic continues to devastate globally, the use of chest X-ray (CXR) imaging as a complimentary screening strategy to RT-PCR testing continues to grow given its routine clinical use for respiratory complaint. As part of…

Image and Video Processing · Electrical Eng. & Systems 2021-05-17 Maya Pavlova , Naomi Terhljan , Audrey G. Chung , Andy Zhao , Siddharth Surana , Hossein Aboutalebi , Hayden Gunraj , Ali Sabri , Amer Alaref , Alexander Wong

In the last few months, the novel COVID19 pandemic has spread all over the world. Due to its easy transmission, developing techniques to accurately and easily identify the presence of COVID19 and distinguish it from other forms of flu and…

Image and Video Processing · Electrical Eng. & Systems 2020-04-01 Muhammad Farooq , Abdul Hafeez

In a worldwide health crisis as exigent as COVID-19, there has become a pressing need for rapid, reliable diagnostics. Currently, popular testing methods such as reverse transcription polymerase chain reaction (RT-PCR) can have high false…

Image and Video Processing · Electrical Eng. & Systems 2022-07-15 Justin Liu

Testing capacity for COVID-19 remains a challenge globally due to the lack of adequate supplies, trained personnel, and sample-processing equipment. These problems are even more acute in rural and underdeveloped regions. We demonstrate that…

One of the fastest-growing domains in AI is healthcare. Given its importance, it has been the interest of many researchers to deploy ML models into the ever-demanding healthcare domain to aid doctors and increase accessibility. Delivering…

During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research…

Machine Learning · Computer Science 2020-06-19 Xingyi Yang , Xuehai He , Jinyu Zhao , Yichen Zhang , Shanghang Zhang , Pengtao Xie

The COVID-19 pandemic continues to rage on, with multiple waves causing substantial harm to health and economies around the world. Motivated by the use of CT imaging at clinical institutes around the world as an effective complementary…

Image and Video Processing · Electrical Eng. & Systems 2021-01-27 Hayden Gunraj , Ali Sabri , David Koff , Alexander Wong

Controlling the COVID-19 pandemic largely hinges upon the existence of fast, safe, and highly-available diagnostic tools. Ultrasound, in contrast to CT or X-Ray, has many practical advantages and can serve as a globally-applicable…

Computer Vision and Pattern Recognition · Computer Science 2021-01-14 Jannis Born , Nina Wiedemann , Gabriel Brändle , Charlotte Buhre , Bastian Rieck , Karsten Borgwardt

COVID-19 has affected more than 223 countries worldwide and in the Post-COVID Era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19. We develop a deep learning model to identify COVID-19…

Sound · Computer Science 2026-05-13 Yuyang Yan , Wafaa Aljbawi , Sami O. Simons , Visara Urovi

Rapid and affordable methods of testing for COVID-19 infections are essential to reduce infection rates and prevent medical facilities from becoming overwhelmed. Current approaches of detecting COVID-19 require in-person testing with…

COVID-19 has affected more than 223 countries worldwide. There is a pressing need for non invasive, low costs and highly scalable solutions to detect COVID-19, especially in low-resource countries where PCR testing is not ubiquitously…

Sound · Computer Science 2022-09-09 Wafaa Aljbawi , Sami O. Simmons , Visara Urovi

Propose: Troubling countries one after another, the COVID-19 pandemic has dramatically affected the health and well-being of the world's population. The disease may continue to persist more extensively due to the increasing number of new…

Image and Video Processing · Electrical Eng. & Systems 2020-11-10 Ali Al-Bawi , Karrar Ali Al-Kaabi , Mohammed Jeryo , Ahmad Al-Fatlawi

The development of fast and accurate screening tools, which could facilitate testing and prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this context, some initial work shows promise in detecting…

COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a build-up of fluid and breathing difficulties. Thus, the…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Yinuo Wang , Juhyun Bae , Ka Ho Chow , Shenyang Chen , Shreyash Gupta

Despite the widespread testing protocols for COVID-19, there are still significant challenges in early detection of the disease, which is crucial for preventing its spread and optimizing patient outcomes. Owing to the limited testing…

Machine Learning · Computer Science 2023-12-13 Moyosolu Akinloye

The COVID-19 pandemic has led to the saturation of public health services worldwide. In this scenario, the early diagnosis of SARS-Cov-2 infections can help to stop or slow the spread of the virus and to manage the demand upon health…