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original article |
Date |
Title |
Authors Max. 6 Authors |
1 |
[GO] |
2025―Jun―12 |
Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization |
Divya Patel, Vansh Parikh, Om Patel, Agam Shah, Bhaskar Chaudhury |
2 |
[GO] |
2024―Oct―28 |
Neural Network-based Ensemble Learning Model to Identify Antigenic Fragments of SARS-CoV-2 |
Syed Nisar Hussain Bukhari, Kingsley A. Ogudo |
3 |
[GO] |
2023―Aug―02 |
How Artificial Intelligence Helped the Humanity During the COVID-19 Pandemic: A Review |
Ali Alnoman |
4 |
[GO] |
2022―Nov―29 |
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images |
Zhijie Lin, Zhaoshui He, Ruoyu Yao, Xu Wang, Taiheng Liu, Yamei Deng, Shengli Xie |
5 |
[GO] |
2022―Nov―24 |
Deep Learning Based COVID-19 Detection: Challenges and Future Directions |
Qurat-ul-Ain Arshad, Wazir Zada Khan, Faisal Azam, Muhammad Khurram Khan |
6 |
[GO] |
2022―Sep―21 |
Ultrasound COVID-19 classification based on the novel module-based dual-path Network |
Lingling Fang, Xin Wang |
7 |
[GO] |
2022―Feb―25 |
Ensemble image explainable AI (XAI) algorithm for severe community-acquired pneumonia and COVID-19 respiratory infections |
Lin Zou, Han Leong Goh, Charlene Jin Yee Liew, Jessica Lishan Quah, Gary Tianyu Gu, Jun Jie Chew, Mukundaram Prem Kumar, Christine Gia Lee Ang, Andy Ta |
8 |
[GO] |
2022―Feb―09 |
Do Pre-processing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection An Explainable Analysis |
Arkaprabha Basu, Sankha S Mullick, Sourav Das, Swagatam Das |
9 |
[GO] |
2022―Feb―01 |
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation using Error-Aware Unified Semi-supervised and Active Learning |
Zhenghan Fang, Junjie Bai, Xinyu Guo, Xin Wang, Feng Gao, Hao-Yu Yang, Bin Kong, Ying Hou, Kunlin Cao, Qi Song, Jun Xia, Youbing Yin |
10 |
[GO] |
2022―Jan―11 |
A Review of the Machine Learning Algorithms for Covid-19 Case Analysis |
Shrikant Tiwari, Prasenjit Chanak, Sanjay Kumar Singh |
11 |
[GO] |
2021―Dec―28 |
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19 |
Bingshu Wang, Jiangbin Zheng, C. L. Philip Chen |
12 |
[GO] |
2021―Oct―08 |
Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison |
Coen De Vente, Luuk Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara Isabel Sanchez Gutierrez, Bram Van Ginneken |
13 |
[GO] |
2021―Aug―16 |
CapsCovNet: A Modified Capsule Network to Diagnose Covid-19 from Multimodal Medical Imaging |
A.F.M. Saif, Tamjid Imtiaz, Shahriar Rifat, Celia Shahnaz, M. Omair Ahmad, Wei-Ping Zhu |
14 |
[GO] |
2021―Jun―30 |
Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects |
Julius von Kugelgen, Luigi Gresele, Bernhard Scholkopf |
15 |
[GO] |
2021―Jun―30 |
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans |
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Anowarul Fattah, Sun-Yuan Kung |
16 |
[GO] |
2021―Jun―30 |
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic |
Muhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, Syeda Sabrina Akter, Iqbal H. Sarker, A. K. M. Najmul Islam |
17 |
[GO] |
2021―Jun―30 |
Leveraging Data Science to Combat COVID-19: A Comprehensive Review |
Siddique Latif, Muhammad Usman, Sanaullah Manzoor, Waleed Iqbal, Junaid Qadir, Gareth Tyson, Ignacio Castro, Adeel Razi, Maged N. Kamel Boulos, Adrian Weller, Jon Crowcroft |
18 |
[GO] |
2021―Jun―30 |
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task |
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal |