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Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 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, Kisor Kumar Sahu, Padmalochan Bera |
| 2 |
[GO] |
2025―Mrz―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―Okt―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―Okt―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, 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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