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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―Jul―03 |
A hierarchical federated learning-based health stack for future pandemic preparedness |
Rojalini Tripathy, Asmit Balabantaray, Nisarg Shah, Prashant Kumar Jha, Ajay Kumar Gogineni, Atri Mukhopadhyay, et al. (+2) Kisor Kumar Sahu, Padmalochan Bera |
| 2 |
[GO] |
2025―Mar―06 |
Enhancing COVID-19 severity assessment with artificial intelligence-based bone suppression technique in chest radiography |
Asumi Yamazaki, Masashi Seki, Takayuki Ishida |
| 3 |
[GO] |
2024―Oct―25 |
Diagnosis of COVID-19 from computed tomography slices using flower pollination algorithm, k-nearest neighbor, and support vector machine classifiers |
Betshrine Rachel Jibinsingh, Khanna Nehemiah Harichandran, Kabilasri Jayakannan, Rebecca Mercy Victoria Manoharan, Anisha Isaac |
| 4 |
[GO] |
2024―Oct―09 |
Deep learning on chest X-ray and computed tomography scans for detection of COVID-19 as a part of a network-centric digital health stack for future pandemics |
Ajay Kumar Gogineni, Madapathi Hitesh, Prashant Kumar Jha, Soumya Suvashish Sen, Shreeja Das, Kisor Kumar Sahu |
| 5 |
[GO] |
2024―Jul―31 |
Interpretability analysis of deep models for COVID-19 detection |
Daniel Peixoto Pinto da Silva, Edresson Casanova, Lucas Rafael Stefanel Gris, Marcelo Matheus Gauy, Arnaldo Candido Junior, Marcelo Finger, et al. (+6) Flaviane Romani Fernandes Svartman, Beatriz Raposo de Medeiros, Marcus Vinícius Moreira Martins, Sandra Maria Aluísio, Larissa Cristina Berti, João Paulo Teixeira |
| 6 |
[GO] |
2024―Jul―23 |
Predicting mortality outcomes in individual COVID-19 patients using machine learning algorithms |
Nikolaos Kourmpanis, Joseph Liaskos, Emmanouil Zoulias, John Mantas |
| 7 |
[GO] |
2024―Apr―09 |
Artificial intelligence in the battle against COVID-19: A comprehensive review |
Emma Yann Zhang, Adrian David Cheok, Zhigeng Pan, Jun Cai, Ying Yan |
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