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Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset.

, , , , , , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Scalable Optimization Methods for Incorporating Spatiotemporal Fractionation into Intensity-Modulated Radiotherapy Planning., and . INFORMS J. Comput., 34 (2): 1240-1256 (2022)Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset., , , , , , , , , and 4 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices., , , , and . CoRR, (2019)M-ary, Binary, and Space-Volume Multiplexing Trade-offs for Holographic Channels., , , , , and . GLOBECOM, IEEE, (2006)Adaptive Optics Based Telescope Arrays Receiver for Compensation of Optical Turbulence Effects in a Deep-Space Optical Communication Link with Mars., , , and . GLOBECOM, page 1-6. IEEE, (2009)Toward ultimate miniaturization of high Q silicon traveling-wave microresonators, , , and . Optics Express, 18 (19): 19541 (August 2010)Statistical analysis and performance evaluation of optical array receivers for deep-space optical communications under random tracking errors., , , and . Phys. Commun., (2018)