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Mining standardized neurological signs and symptoms data for concussion identification.

, , , , , и . BHI, стр. 285-288. IEEE, (2017)

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Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101342G. SPIE, (2017)Resolution of Discordant HIV-1 Protease Resistance Rankings Using Molecular Dynamics Simulations., и . J. Chem. Inf. Model., 51 (10): 2636-2649 (2011)Accurate Ensemble Molecular Dynamics Binding Free Energy Ranking of Multidrug-Resistant HIV-1 Proteases., , , и . J. Chem. Inf. Model., 50 (5): 890-905 (2010)Virtually transforming detect: moving a 2-D gamified health assessment to virtual reality., , , , , , , , , и 1 other автор(ы). I3D, стр. 207-208. ACM, (2016)Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations., , , , , , , , , и 8 other автор(ы). ICCS (4), том 11539 из Lecture Notes in Computer Science, стр. 479-492. Springer, (2019)Mining standardized neurological signs and symptoms data for concussion identification., , , , , и . BHI, стр. 285-288. IEEE, (2017)Concurrent and Adaptive Extreme Scale Binding Free Energy Calculations., , , , , и . eScience, стр. 189-200. IEEE Computer Society, (2018)Intubation Aerosol Containment System Video., , , и . (мая 2022)Meta-algorithmic systems for document classification., , и . ACM Symposium on Document Engineering, стр. 98-106. ACM, (2006)Towards high-throughput, high-performance computational estimation of binding affinities for patient specific HIV-1 protease sequences., , , , , , , и . TG, стр. 4:1-4:8. ACM, (2011)