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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…

The spike protein (SP) of SARS-CoV-2 is the major molecular target for making diagnostic tests, vaccines, and therapeutic development. We used a combination of transmission electron microscopy (TEM) and surface enhanced Raman microscopy…

Biological Physics · Physics 2025-01-30 Monika Ghalawat , Virendra Kumar Meena , Sharda Prasad , Pankaj Poddar , Atanu Basu

Medical image classification and segmentation based on deep learning (DL) are emergency research topics for diagnosing variant viruses of the current COVID-19 situation. In COVID-19 computed tomography (CT) images of the lungs, ground glass…

Image and Video Processing · Electrical Eng. & Systems 2022-08-08 Shiyi Wang , Guang Yang

Researchers across the globe are seeking to rapidly repurpose existing drugs or discover new drugs to counter the the novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). One promising…

Replication of SARS-CoV2 virions is an error-prone process which may eventually generate a percentage of impaired protein copies with complete lack of functionality. For instance, after RNA mis-replication, a very premature stop codon (UAG,…

Genomics · Quantitative Biology 2021-06-08 Alessio D'Alessandro

System identification techniques -- projection pursuit regression models (PPRs) and convolutional neural networks (CNNs) -- provide state-of-the-art performance in predicting visual cortical neurons' responses to arbitrary input stimuli.…

Quantitative Methods · Quantitative Biology 2021-10-04 Ziniu Wu , Harold Rockwell , Yimeng Zhang , Shiming Tang , Tai Sing Lee

The COVID19 pandemic globally and significantly has affected the life and health of many communities. The early detection of infected patients is effective in fighting COVID19. Using radiology (X-Ray) images is perhaps the fastest way to…

Image and Video Processing · Electrical Eng. & Systems 2021-06-01 Wu Chao , Mohammad Khishe , Mokhtar Mohammadi , Sarkhel H. Taher Karim , Tarik A. Rashid

The high demand for computational and storage resources severely impede the deployment of deep convolutional neural networks (CNNs) in limited-resource devices. Recent CNN architectures have proposed reduced complexity versions (e.g.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 Souvik Kundu , Saurav Prakash , Haleh Akrami , Peter A. Beerel , Keith M. Chugg

Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic in over 200 countries and territories, which has resulted in a great public health concern across the international community. Analysis of X-ray imaging data can play a…

Image and Video Processing · Electrical Eng. & Systems 2021-04-02 Lucy Nwosu , Xiangfang Li , Lijun Qian , Seungchan Kim , Xishuang Dong

The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world remains in the pandemic period. Detecting COVID-19 using the…

Image and Video Processing · Electrical Eng. & Systems 2022-10-27 Gargi Desai , Nelly Elsayed , Zag Elsayed , Murat Ozer

The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to prevent secondary infections and its spread from one person to…

The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective screening of infected patients, with one of the key screening…

Image and Video Processing · Electrical Eng. & Systems 2020-05-12 Linda Wang , Alexander Wong

A prompt severity assessment model of patients confirmed for having infectious diseases could enable efficient diagnosis while alleviating burden on the medical system. This study aims to develop a SARS-CoV-2 severity assessment model and…

Machine Learning · Computer Science 2022-02-18 Min Sue Park , Hyeontae Jo , Haeun Lee , Se Young Jung , Hyung Ju Hwang

Rapid testing is essential to fighting pandemics such as COVID-19, the disease caused by the SARS-CoV-2 virus. Exhaled human breath contains multiple volatile molecules providing powerful potential for non-invasive diagnosis of diverse…

In this paper, we propose a surface plasmon resonance (SPR) structure based on Kretschmann configuration incorporating layers of Silicon and BaTiO$_3$ on top of Ag for real-time detection of severe acute respiratory syndrome coronavirus 2…

Applied Physics · Physics 2020-08-25 Syed Mohammad Ashab Uddin , Sayeed Shafayet Chowdhury , Ehsan Kabir

During 2020 and 2021, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission has been increasing amongst the world's population at an alarming rate. Reducing the spread of SARS-CoV-2 and other diseases that are spread in…

Social and Information Networks · Computer Science 2022-03-22 Patrick Urrutia , David Wren , Chrysafis Vogiatzis , Ruriko Yoshida

The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries, and is approaching approximately 34,986,502 cases worldwide according to the statistics of European…

Image and Video Processing · Electrical Eng. & Systems 2021-08-03 Ali Narin , Ceren Kaya , Ziynet Pamuk

COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has a…

Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, thousands of SL-QSO systems can be discovered expectedly,…

Genomic surveillance of infectious diseases allows monitoring circulating and emerging variants and quantifying their epidemic potential. However, due to the high costs associated with genomic sequencing, only a limited number of samples…