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Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray.

, , , , and . ICONIP (7), volume 1794 of Communications in Computer and Information Science, page 77-88. Springer, (2022)

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Vision Transformer Based COVID-19 Detection Using Chest CT-scan images., , , and . BHI, page 1-4. IEEE, (2022)Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray., , , , and . ICONIP (7), volume 1794 of Communications in Computer and Information Science, page 77-88. Springer, (2022)Powering and communicating with mm-size implants., , , , , , , and . DATE, page 722-727. IEEE, (2011)Modeling distinct sources of neural variability driving neuroprosthetic control., , , , and . EMBC, page 3068-3071. IEEE, (2016)Likelihood Gradient Ascent (LGA): A closed-loop decoder adaptation algorithm for brain-machine interfaces., , and . EMBC, page 2768-2771. IEEE, (2013)Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique., , , , and . IJCNN, page 1-8. IEEE, (2022)High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder., , , , and . EMBC, page 6493-6496. IEEE, (2014)Automated Placement for Parallelized FPGA FFTs., , , and . FCCM, page 206-209. IEEE Computer Society, (2011)Parameter estimation for maximizing controllability of linear brain-machine interfaces., , and . EMBC, page 1314-1317. IEEE, (2012)Neural Correlates of Control of a Kinematically Redundant Brain-Machine Interface., , , , and . NER, page 554-557. IEEE, (2019)