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Predicting interactions among heterogenous graph structured data has numerous applications such as knowledge graph completion, recommendation systems and drug discovery. Often times, the links to be predicted belong to rare types such as…

机器学习 · 计算机科学 2020-07-21 Vassilis N. Ioannidis , Da Zheng , George Karypis

The Coronavirus was first emerged in December, in the city of China named Wuhan in 2019 and spread quickly all over the world. It has very harmful effects all over the global economy, education, social, daily living and general health of…

图像与视频处理 · 电气工程与系统科学 2021-10-19 Unsa Maheen , Khawar Iqbal Malik , Gohar Ali

Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high…

Covid-19 is a very serious deadly disease that has been announced as a pandemic by the world health organization (WHO). The whole world is working with all its might to end Covid-19 pandemic, which puts countries in serious health and…

图像与视频处理 · 电气工程与系统科学 2020-12-11 Ali Narin

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…

Since the World Health Organization declared COVID-19 a pandemic in 2020, the global community has faced ongoing challenges in controlling and mitigating the transmission of the SARS-CoV-2 virus, as well as its evolving subvariants and…

Early detection of the coronavirus disease 2019 (COVID-19) helps to treat patients timely and increase the cure rate, thus further suppressing the spread of the disease. In this study, we propose a novel deep learning based detection and…

图像与视频处理 · 电气工程与系统科学 2021-08-05 Chengtao Peng , Yunfei Long , Senhua Zhu , Dandan Tu , Bin Li

This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set. At first, the open-access large chest X-ray collection is augmented,…

图像与视频处理 · 电气工程与系统科学 2021-05-27 Nihad Karim Chowdhury , Muhammad Ashad Kabir , Md. Muhtadir Rahman , Noortaz Rezoana

We are presenting COVID-19Base, a knowledgebase highlighting the biomedical entities related to COVID-19 disease based on literature mining. To develop COVID-19Base, we mine the information from publicly available scientific literature and…

We report the results of our study of approved drugs as potential treatments for COVID 19, based on the application of various bioinformatics predictive methods. The drugs studied include chloroquine, ivermectin, remdesivir, sofosbuvir,…

生物大分子 · 定量生物学 2020-08-11 Ognjen Perišić

With the increase of COVID-19 cases worldwide, an effective way is required to diagnose COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage and reliability of testing kits, due to the quick spread of the…

图像与视频处理 · 电气工程与系统科学 2021-12-14 Rajesh Kumar , Abdullah Aman Khan , Sinmin Zhang , Jay Kumar , Ting Yang , Noorbakhash Amiri Golalirz , Zakria , Ikram Ali , Sidra Shafiq , WenYong Wang

The Coronavirus disease 2019 (COVID-19) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 screening system. The standard practices for rapid risk screening of…

图像与视频处理 · 电气工程与系统科学 2020-09-08 Yanwei Fu , Feng Li , Wenxuan Wang , Haicheng Tang , Xuelin Qian , Mengwei Gu , Xiangyang Xue

Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of…

图像与视频处理 · 电气工程与系统科学 2021-07-07 Peeyush Kumar , Ayushe Gangal , Sunita Kumari

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…

As COVID-19 transitions into an endemic disease that remains constantly present in the population at a stable level, monitoring its prevalence without invasive measures becomes increasingly important. In this paper, we present a deep neural…

定量方法 · 定量生物学 2025-12-02 Yifei Chen , Eric Liang

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…

图像与视频处理 · 电气工程与系统科学 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

The emergence of the novel COVID-19 pandemic has had a significant impact on global healthcare and the economy over the past few months. The virus's rapid widespread has led to a proliferation in biomedical research addressing the pandemic…

人工智能 · 计算机科学 2020-07-21 Chongyan Chen , Islam Akef Ebeid , Yi Bu , Ying Ding

COVID-19 has created a global pandemic with high morbidity and mortality in 2020. Novel coronavirus (nCoV), also known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2), is responsible for this deadly disease. International…

With the rapid development of COVID-19 into a global pandemic, there is an ever more urgent need for cheap, fast and reliable tools that can assist physicians in diagnosing COVID-19. Medical imaging such as CT can take a key role in…

图像与视频处理 · 电气工程与系统科学 2021-01-26 Jannis Born , Gabriel Brändle , Manuel Cossio , Marion Disdier , Julie Goulet , Jérémie Roulin , Nina Wiedemann

The coronavirus outbreak became a major concern for society worldwide. Technological innovation and ingenuity are essential to fight COVID-19 pandemic and bring us one step closer to overcome it. Researchers over the world are working…