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• W3197495624 abstract "The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew it in 2020. It has become the most unprecedented challenge to analytic epidemiology (AE) in general and signal processing (SP) theories specifically. In this regard, medical imaging plays an important role for the management of COVID-19. SP and deep learning (DL) models can assist in the development of robust radiomics solutions for the diagnosis/prognosis, severity assessment, treatment response, and monitoring of COVID-19 patients." @default.
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• W3197495624 date "2021-09-01" @default.
• W3197495624 modified "2023-09-25" @default.
• W3197495624 title "Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications" @default.
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• W3197495624 doi "https://doi.org/10.1109/msp.2021.3090674" @default.
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