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UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.

A. Narayan, Z. Liu, J. Bergquist, C. Charlebois, S. Rampersad, L. Rupp, D. Brooks, D. White, J. Tate, and R. MacLeod. Comput. Biol. Medicine, (2023)

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Prospects for transcranial temporal interference stimulation in humans: A computational study.S. Rampersad, B. Roig-Solvas, M. Yarossi, P. Kulkarni, E. Santarnecchi, A. Dorval, and D. Brooks. NeuroImage, (2019)On handling the layered structure of the skull in transcranial direct current stimulation models.S. Rampersad, D. Stegeman, and T. Oostendorp. EMBC, page 1989-1992. IEEE, (2011)Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models.A. Demirkaya, T. Imbiriba, K. Lockwood, S. Rampersad, E. Alhajjar, G. Guidoboni, Z. Danziger, and D. Erdogmus. EMBC, page 763-766. IEEE, (2021)Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations.L. Rupp, Z. Liu, J. Bergquist, S. Rampersad, D. White, J. Tate, D. Brooks, A. Narayan, and R. MacLeod. CinC, page 1-4. IEEE, (2020)UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.A. Narayan, Z. Liu, J. Bergquist, C. Charlebois, S. Rampersad, L. Rupp, D. Brooks, D. White, J. Tate, and R. MacLeod. Comput. Biol. Medicine, (2023)UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines.J. Tate, Z. Liu, J. Bergquist, S. Rampersad, D. White, C. Charlebois, L. Rupp, D. Brooks, R. MacLeod, and A. Narayan. J. Open Source Softw., 8 (90): 4249 (October 2023)Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.M. Akbar, M. Yarossi, M. Martinez-Gost, M. Sommer, M. Dannhauer, S. Rampersad, D. Brooks, E. Tunik, and D. Erdogmus. PETRA, page 15:1-15:6. ACM, (2020)

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UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.

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UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.