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pro vyhledávání: '"Johnson, Curtis"'
Soft robotic actuators and their inherent compliance can simplify the design of controllers when operating in contact-rich environments. With such structures we can accomplish high-impact, dynamic, and contact-rich tasks that would be difficult using
Externí odkaz:
http://arxiv.org/abs/2409.08420
Autor:
Träuble, Jakob, Hiscox, Lucy, Johnson, Curtis, Schönlieb, Carola-Bibiane, Schierle, Gabriele Kaminski, Aviles-Rivero, Angelica
In the field of neuroimaging, accurate brain age prediction is pivotal for uncovering the complexities of brain aging and pinpointing early indicators of neurodegenerative conditions. Recent advancements in self-supervised learning, particularly in c
Externí odkaz:
http://arxiv.org/abs/2408.00527
Autor:
Wang, Shuaihu, Eckstein, Kevin N., Okamoto, Ruth J., McGarry, Matthew D.J., Johnson, Curtis L., Bayly, Philip V.
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials January 2025 161
Autor:
Upadhyay, Kshitiz, Giovanis, Dimitris G., Alshareef, Ahmed, Knutsen, Andrew K., Johnson, Curtis L., Carass, Aaron, Bayly, Philip V., Shields, Michael D., Ramesh, K. T.
Publikováno v:
Comput. Methods Appl. Mech. Eng., 398 (2022), 115108
Computational models of the human head are promising tools for estimating the impact-induced response of brain, and thus play an important role in the prediction of traumatic brain injury. Modern biofidelic head model simulations are associated with
Externí odkaz:
http://arxiv.org/abs/2110.15553
Autor:
Williams, L. Tyler, Cao, Zheng, Lateef, Ali H., McGarry, Matthew D.J., Corbin, Elise A., Johnson, Curtis L.
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials June 2024 154
Autor:
Wang, Shuaihu, Eckstein, Kevin N., Guertler, Charlotte A., Johnson, Curtis L., Okamoto, Ruth J., McGarry, Matthew D.J., Bayly, Philip V.
Publikováno v:
In Brain Multiphysics June 2024 6