Ellen Kuhl
Affiliations: | Stanford University, Palo Alto, CA |
Area:
Mechanical Engineering, BioengineeringGoogle:
"Ellen Kuhl"Mean distance: 106866
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Publications
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| Kuhl E. (2020) Data-driven modeling of COVID-19-Lessons learned. Extreme Mechanics Letters. 40: 100921 |
| Budday S, Sarem M, Starck L, et al. (2020) Towards microstructure-informed material models for human brain tissue. Acta Biomaterialia. 104: 53-65 |
| Budday S, Kuhl E. (2020) Modeling the life cycle of the human brain Current Opinion in Biomedical Engineering. 15: 16-25 |
| Budday S, Ovaert TC, Holzapfel GA, et al. (2020) Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue Archives of Computational Methods in Engineering. 27: 1187-1230 |
| Fornari S, Schäfer A, Kuhl E, et al. (2019) Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome. Journal of Theoretical Biology. 486: 110102 |
| Alber M, Buganza Tepole A, Cannon WR, et al. (2019) Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. Npj Digital Medicine. 2: 115 |
| Fornari S, Schäfer A, Jucker M, et al. (2019) Prion-like spreading of Alzheimer's disease within the brain's connectome. Journal of the Royal Society, Interface. 16: 20190356 |
| Ambrosi D, Ben Amar M, Cyron CJ, et al. (2019) Growth and remodelling of living tissues: perspectives, challenges and opportunities. Journal of the Royal Society, Interface. 16: 20190233 |
| Kelle MAJv, Rausch MK, Kuhl E, et al. (2019) A computational model to predict cell traction-mediated prestretch in the mitral valve Computer Methods in Biomechanics and Biomedical Engineering. 22: 1174-1185 |
| Peirlinck M, Sahli Costabal F, Sack KL, et al. (2019) Using machine learning to characterize heart failure across the scales. Biomechanics and Modeling in Mechanobiology |