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Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus. These respiratory viruses, often, have…

Signal Processing · Electrical Eng. & Systems 2020-07-02 Abdelkader Nasreddine Belkacem , Sofia Ouhbi , Abderrahmane Lakas , Elhadj Benkhelifa , Chao Chen

Emerging in December 2019, the COVID-19 pandemic caused widespread health, economic, and social disruptions. Rapid global transmission overwhelmed healthcare systems, resulting in high infection rates, hospitalisations, and fatalities. To…

Populations and Evolution · Quantitative Biology 2025-10-08 Zacharias Komodromos , Kleanthis Malialis , Panayiotis Kolios

We demonstrate use of iteratively pruned deep learning model ensembles for detecting pulmonary manifestation of COVID-19 with chest X-rays. This disease is caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)…

Image and Video Processing · Electrical Eng. & Systems 2021-03-08 Sivaramakrishnan Rajaraman , Jen Siegelman , Philip O. Alderson , Lucas S. Folio , Les R. Folio , Sameer K. Antani

Coronavirus Disease 2019 (COVID-19) demonstrated the need for accurate and fast diagnosis methods for emergent viral diseases. Soon after the emergence of COVID-19, medical practitioners used X-ray and computed tomography (CT) images of…

Image and Video Processing · Electrical Eng. & Systems 2021-01-22 Weihan Zhang , Bryan Pogorelsky , Mark Loveland , Trevor Wolf

Lung diseases such as COVID-19, tuberculosis (TB), and pneumonia continue to be serious global health concerns that affect millions of people worldwide. In medical practice, chest X-ray examinations have emerged as the norm for diagnosing…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Aditya Kulkarni , Guruprasad Parasnis , Harish Balasubramanian , Vansh Jain , Anmol Chokshi , Reena Sonkusare

The new coronavirus disease (COVID-19) has been declared a pandemic since March 2020 by the World Health Organization. It consists of an emerging viral infection with respiratory tropism that could develop atypical pneumonia. Experts…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Walid Hariri , Ali Narin

The emergence of COVID-19 offered a unique opportunity to study chronic pain patients as they responded to sudden changes in social environments, increased community stress, and reduced access to care. We report findings from n=70 Spinal…

In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19. Machine learning solutions have been shown to be useful for…

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is…

Image and Video Processing · Electrical Eng. & Systems 2020-10-13 Hengyuan Kang , Liming Xia , Fuhua Yan , Zhibin Wan , Feng Shi , Huan Yuan , Huiting Jiang , Dijia Wu , He Sui , Changqing Zhang , Dinggang Shen

Throughout the Covid-19 pandemic, a significant amount of effort had been put into developing techniques that predict the number of infections under various assumptions about the public policy and non-pharmaceutical interventions. While…

Computers and Society · Computer Science 2021-12-22 Sharare Zehtabian , Siavash Khodadadeh , Damla Turgut , Ladislau Bölöni

Analysis of chest CT scans can be used in detecting parts of lungs that are affected by infectious diseases such as COVID-19.Determining the volume of lungs affected by lesions is essential for formulating treatment recommendations and…

Purpose: The need to streamline patient management for COVID-19 has become more pressing than ever. Chest X-rays provide a non-invasive (potentially bedside) tool to monitor the progression of the disease. In this study, we present a…

Image and Video Processing · Electrical Eng. & Systems 2020-07-01 Joseph Paul Cohen , Lan Dao , Paul Morrison , Karsten Roth , Yoshua Bengio , Beiyi Shen , Almas Abbasi , Mahsa Hoshmand-Kochi , Marzyeh Ghassemi , Haifang Li , Tim Q Duong

One of the main challenges in times of sanitary emergency is to quickly develop computer aided diagnosis systems with a limited number of available samples due to the novelty, complexity of the case and the urgency of its implementation.…

Image and Video Processing · Electrical Eng. & Systems 2021-03-09 Plácido L Vidal , Joaquim de Moura , Jorge Novo , Marcos Ortega

Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, sharing diagnostic images across medical institutions is usually not allowed due to…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-27 Weishan Zhang , Tao Zhou , Qinghua Lu , Xiao Wang , Chunsheng Zhu , Haoyun Sun , Zhipeng Wang , Sin Kit Lo , Fei-Yue Wang

By September, 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples…

The ongoing crisis of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), 4 million people have died due to this disease, whereas there have been more than 180 million…

Image and Video Processing · Electrical Eng. & Systems 2021-06-29 Juan E. Arco , Andrés Ortiz , Javier Ramírez , Juan M Gorriz

Chest radiography has been a recommended procedure for patient triaging and resource management in intensive care units (ICUs) throughout the COVID-19 pandemic. The machine learning efforts to augment this workflow have been long challenged…

The novel 2019 Coronavirus disease (COVID-19) global pandemic is a defining health crisis. Recent efforts have been increasingly directed towards achieving quick and accurate detection of COVID-19 across symptomatic patients to mitigate the…

Image and Video Processing · Electrical Eng. & Systems 2023-11-27 Karina Yang , Alexis Bennett , Dominique Duncan

Patients with the COVID-19 infection may have pneumonia-like symptoms as well as respiratory problems which may harm the lungs. From medical images, coronavirus illness may be accurately identified and predicted using a variety of machine…

Computer Vision and Pattern Recognition · Computer Science 2023-02-20 Tareque Rahman Ornob , Gourab Roy , Enamul Hassan

Long COVID is a general term of post-acute sequelae of COVID-19. Patients with long COVID can endure long-lasting symptoms including fatigue, headache, dyspnea and anosmia, etc. Identifying the cohorts with severe long-term complications in…

Machine Learning · Computer Science 2023-07-12 Degan Hao , Mohammadreza Negahdar
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