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๐Ÿ” coronavirus ๐Ÿ“‚ Engineering
Showing 346 results for "coronavirus" in Engineering
Engineering Preprint PDF DOI

Navigating heterogeneous protein landscapes through geometry-aware smoothing

Srinivas Anumasa, Barath Chandran, Tingting Chen, Nuwaisir Mohammad Rahman, Yingtao Zhu, Rushi Shah, Hongyu He, Peisong Zhang, Yizhen Liao, Yiming Tang, Yong Shen, Tianfan Fu, Rui Qing, Xiao Li, Sebastian Maurer-Stroh, Xinyi Su, Zhizhuo Zhang, Dianbo Liu ยท 2026

The evolutionary fitness landscape of biological molecules is extremely sparse and heterogeneous, with functional sequences forming isolated dense ``islands'' within a vast combinatorial space of largโ€ฆ

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Engineering Preprint PDF DOI

Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images

Leonardo Gabriel Ferreira Rodrigues, Danilo Ferreira da Silva, Larissa Ferreira Rodrigues, Joao Fernando Mari ยท 2024

Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread globally, impacting the lives of billions of people. The effective screening of infected patients is a critical step to struggle with COVID-โ€ฆ

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Engineering Preprint PDF DOI

On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures

Wenwen Zhang, Zhouzhuo Tang, Yingmei Feng, Xia Yu, Qi Jie Wang, Zhiping Lin ยท 2024

During the early stages of respiratory virus outbreaks, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the efficient utilize of limited nasopharyngeal swabs for rapid and accuraโ€ฆ

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Engineering Preprint PDF DOI

An Explainable Non-local Network for COVID-19 Diagnosis

Jingfu Yang, Peng Huang, Jing Hu, Shu Hu, Siwei Lyu, Xin Wang, Jun Guo, Xi Wu ยท 2024

The CNN has achieved excellent results in the automatic classification of medical images. In this study, we propose a novel deep residual 3D attention non-local network (NL-RAN) to classify CT images โ€ฆ

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Engineering Preprint PDF DOI

CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays

Sonit Singh ยท 2024

The novel coronavirus (COVID-19), a highly infectious respiratory disease caused by the SARS-CoV-2 has emerged as an unprecedented healthcare crisis. The pandemic had a devastating impact on the healtโ€ฆ

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Engineering Preprint PDF DOI

COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods

Kavian Khanjani, Seyed Rasoul Hosseini, Hamid Taheri, Shahrzad Shashaani, Mohammad Teshnehlab ยท 2024

In 2019, the world faced a new challenge: a COVID-19 disease caused by the novel coronavirus, SARS-CoV-2. The virus rapidly spread across the globe, leading to a high rate of mortality, which promptedโ€ฆ

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Engineering Preprint PDF DOI

COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System

Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias, Dimitris Nikitopoulos, Stefanos Kollias ยท 2024

Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging modalities. In this paper, we showcaโ€ฆ

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Engineering Preprint PDF DOI

Automatic Detection and Classification of Corona Infection (COVID-19) from X-ray Images Using Convolution Neural Network

Kinjal A Patel, Tanvi Goswami ยท 2024

The novel coronavirus universally known as the COVID-19 outbreak arises at the end of 2019 in one of the East Asian countries and it is subjected to widespread discussion and debate. There are almost โ€ฆ

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Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images

Sayed Amir Mousavi Mobarakeh, Kamran Kazemi, Ardalan Aarabi, Habibollah Danyal ยท 2024

Since 2019, the global dissemination of the Coronavirus and its novel strains has resulted in a surge of new infections. The use of X-ray and computed tomography (CT) imaging techniques is critical inโ€ฆ

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Engineering Preprint PDF DOI

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture

Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md Ashraf Uddin, Sunil Aryal ยท 2023

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accuraโ€ฆ

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Engineering Preprint PDF DOI

Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training

Karina Yang, Alexis Bennett, Dominique Duncan ยท 2023

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 acrโ€ฆ

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Engineering Preprint PDF DOI

Predicting Patient Recovery or Mortality Using Deep Neural Decision Tree and Forest

Mohammad Dehghani, Mohadeseh Zarei Ghobadi, Mobin Mohammadi, Diyana Tehrany Dehkordy ยท 2023

Objective: Identifying patients at high risk of mortality is crucial for emergency physicians to allocate hospital resources effectively, particularly in regions with limited medical services. This neโ€ฆ

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Deep Learning Models for Classification of COVID-19 Cases by Medical Images

Amir Ali ยท 2023

In recent times, the use of chest Computed Tomography (CT) images for detecting coronavirus infections has gained significant attention, owing to their ability to reveal bilateral changes in affected โ€ฆ

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Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images

Sultan Zavrak ยท 2023

The advent of 2019 Coronavirus (COVID-19) has engendered a momentous global health crisis, necessitating the identification of the ailment in individuals through diverse diagnostic modalities. Radioloโ€ฆ

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Engineering Preprint PDF DOI

MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis

Lin Yang, Shuihua Wang, Yudong Zhang ยท 2023

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 diagnosis to identify โ€ฆ

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Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping

Ryo Toda, Hayato Itoh, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori ยท 2023

This paper presents a fully-automated method for the identification of suspicious regions of a coronavirus disease (COVID-19) on chest CT volumes. One major role of chest CT scanning in COVID-19 diagnโ€ฆ

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DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features

Jiesi Hu, Yanwu Yang, Xutao Guo, Ting Ma ยท 2023

Since 2019, coronavirus Disease 2019 (COVID-19) has been widely spread and posed a serious threat to public health. Chest Computed Tomography (CT) holds great potential for screening and diagnosis of โ€ฆ

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Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey

Song Wu, Yazhou Ren, Aodi Yang, Xinyue Chen, Xiaorong Pu, Jing He, Liqiang Nie, Philip S. Yu ยท 2023

COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak, impacting financial markets and healthcare systems globally. Countries all around the world have adopted a number of โ€ฆ

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Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection

Ni Yao, Yanhui Tian, Daniel Gama das Neves, Chen Zhao, Claudio Tinoco Mesquita, Wolney de Andrade Martins, Alair Augusto Sarmet Moreira Damas dos Santos, Yanting Li, Chuang Han, Fubao Zhu, Neng Dai, Weihua Zhou ยท 2023

Epicardial adipose tissue (EAT) is known for its pro-inflammatory properties and association with Coronavirus Disease 2019 (COVID-19) severity. However, current EAT segmentation methods do not consideโ€ฆ

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Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models

Akhmad Dimitri Baihaqi, Novanto Yudistira, Edy Santoso ยท 2023

The Coronavirus Disease 2019 or the COVID-19 pandemic has swept almost all parts of the world since the first case was found in Wuhan, China, in December 2019. With the increasing number of COVID-19 cโ€ฆ

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