| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Mar―29 |
Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning |
Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Mahesh T R, Roopashree S, Muthukumaran Venkatesan |
| 2 |
[GO] |
2024―Mar―27 |
Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis |
Sadaf Naz, Khoa Phan, Yi-Ping Phoebe Chen |
| 3 |
[GO] |
2023―Mar―01 |
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework |
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz |
| 4 |
[GO] |
2022―Dec―07 |
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images |
Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, et al. (+2) Daoqiang Zhang, Dinggang Shen |
| 5 |
[GO] |
2022―Nov―17 |
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis |
Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li |
| 6 |
[GO] |
2022―Jul―21 |
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels |
Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, et al. (+2) Simon Walsh, Guang Yang |
| 7 |
[GO] |
2022―Jun―24 |
A Deep Integrated Framework for Predicting SARS-CoV2-Human Protein-Protein Interaction |
Sumanta Ray, Snehalika Lall, Sanghamitra Bandyopadhyay |
| 8 |
[GO] |
2022―Jun―01 |
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis |
Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Gorriz, Yu-Dong Zhang |
| 9 |
[GO] |
2021―Dec―13 |
Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations |
Murat Simsek, Burak Kantarci, Azzedine Boukerche, Shahzad Khan |
| 10 |
[GO] |
2021―May―31 |
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak |
Amit Agarwal, Deepak Uniyal, Durga Toshniwal, Dipanjan Deb |
| 11 |
[GO] |
2021―Mar―17 |
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread |
Satyaki Roy, Preetom Biswas, Preetam Ghosh |
| 12 |
[GO] |
2021―Jan―21 |
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks |
Annalisa Riccardi, Jessica Gemignani, Francisco Fernandez-Navarro, Anna Heffernan |
