ScholarIQanswers from OpenAlex
COVID-19 diagnosis using AI
TopicLeading institutions, researchers & key papers
COVID-19 diagnosis using AI is a topic indexed in ScholarIQ from OpenAlex.
What is known about COVID-19 diagnosis using AI?
ScholarIQrecord summary
This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in medical imaging for the detection and diagnosis of COVID-19, pneumonia, and other thoracic diseases using chest X-ray and CT scan images. The research explores the use of artificial intelligence, transfer learning, and image-based deep learning techniques to develop automated systems for accurate medical diagnoses.
How many works does COVID-19 diagnosis using AI have?
ScholarIQindexed works
COVID-19 diagnosis using AI has 410 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for COVID-19 diagnosis using AI?
ScholarIQopenalex
The OpenAlex for COVID-19 diagnosis using AI is on the source record.
What are the most-cited papers on COVID-19 diagnosis using AI?
ScholarIQmost cited works
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandaker Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, Stavroula Mougiakakou
Deep learning-enabled medical computer vision
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas Tahir, Serkan Kıranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al Maadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad E. H. Chowdhury
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Kang Zhang, Xiaohong Liu, Jun Shen, Zhihuan Li, Ye Sang, Xingwang Wu, Yunfei Zha, Wenhua Liang, Chengdi Wang, Ke Wang, Linsen Ye, Ming Gao, Zhongguo Zhou, Liang Li, Jin Wang, Zehong Yang, Huimin Cai, Jie Xu, Lei Yang, Wenjia Cai, W. Xu, Shaoxu Wu, Wei Zhang, Shanping Jiang, Lianghong Zheng, Xuan Zhang, Li Wang, Lu Liu, Jiaming Li, Haiping Yin, Winston Wang, Oulan Li, Charlotte Zhang, Liang Liang, Tao Wu, Ruiyun Deng, Wei Kang, Yong Zhou, Ting Chen, Johnson Yiu‐Nam Lau, Manson Fok, Jianxing He, Tianxin Lin, Weimin Li, Guangyu Wang
Where is COVID-19 diagnosis using AI research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on COVID-19 diagnosis using AI is open access?
ScholarIQopen access share
87%OPEN ACCESS