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ML4covid19

Machine Learning, computer vision, and data management for COVID-19 research and emergency preparadness.

https://bit.ly/ML4covid19

  • Sadre, Majumdar, Sundaram, Ushizima, "Validating deep learning inference during chest X-ray classification for COVID-19 screening", Nature Scientific Reports 2021 [pdf]

  • Higa, Ushizima, "REST Interface Generator (RESTInG)", 20th International Conference on Information & Knowledge Engineering, SPRINGER NATURE Transactions on Computational Science & Computational Intelligence [code]

  • Ushizima et al, "ACTS: Accelerating COVID-19 Testing with Screening", ADSA Annual Meeting 2020.[link]

  • Sadre, Ushizima, "Computer-aided chest x-ray image analysis", SC'20 Workshop on Urgent HPC.[txt][video]

  • Miramontes, Pierges, Grinberg, Ushizima, "Accelerating Cell Counting with Quantitative Microscopy Based on U-Net", Workshop: "Frontiers in Machine Learning for the Physical Sciences" [txt]

  • Ushizima, Higa, Sadre, Pelt, Crane, Tosun, Lee, Garcia, Liem, Sundaram, Manjumdar, "COVID-19 and Emergency Preparadness through Deep Learning and Smart Catalogs", under construction.[txt]

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