Christopher Dembia
Christopher Dembia
Graduate student, Stanford University
Verified email at stanford.edu
TitleCited byYear
Full-body musculoskeletal model for muscle-driven simulation of human gait
A Rajagopal, CL Dembia, MS DeMers, DD Delp, JL Hicks, SL Delp
IEEE transactions on biomedical engineering 63 (10), 2068-2079, 2016
1852016
OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
A Seth, JL Hicks, TK Uchida, A Habib, CL Dembia, JJ Dunne, CF Ong, ...
PLoS computational biology 14 (7), 2018
592018
Simulating ideal assistive devices to reduce the metabolic cost of running
TK Uchida, A Seth, S Pouya, CL Dembia, JL Hicks, SL Delp
PloS one 11 (9), 2016
482016
Stretching your energetic budget: how tendon compliance affects the metabolic cost of running
TK Uchida, JL Hicks, CL Dembia, SL Delp
PloS one 11 (3), 2016
322016
Simulating ideal assistive devices to reduce the metabolic cost of walking with heavy loads
CL Dembia, A Silder, TK Uchida, JL Hicks, SL Delp
PloS one 12 (7), 2017
312017
Automated data analysis for consecutive images from droplet combustion experiments
CL Dembia, YC Liu, CT Avedisian
Image Analysis & Stereology 31 (3), 137-148, 2012
222012
Muscle–tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking
RW Jackson, CL Dembia, SL Delp, SH Collins
Journal of Experimental Biology 220 (11), 2082-2095, 2017
212017
Muscle–tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking
RW Jackson, CL Dembia, SL Delp, SH Collins
Journal of Experimental Biology 220 (11), 2082-2095, 2017
212017
Bondarenko method for obtaining group cross sections in a multi-region collision probability model
CL Dembia, GD Recktenwald, MR Deinert
Progress in Nuclear Energy 67, 124-131, 2013
62013
How static optimization works
J Hicks, C Dembia
OpenSim 3. 0 Documentation, 2014
52014
Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies
A Falisse, G Serrancolí, CL Dembia, J Gillis, I Jonkers, F De Groote
Journal of The Royal Society Interface 16 (157), 20190402, 2019
42019
Subject-exoskeleton contact model calibration leads to accurate interaction force predictions
G Serrancolí, A Falisse, C Dembia, J Vantilt, K Tanghe, D Lefeber, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (8 …, 2019
22019
Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
A Falisse, G Serrancolí, CL Dembia, J Gillis, F De Groote
PloS one 14 (10), 2019
22019
Estimated changes in muscle-level dynamics and energetics under different levels of exoskeleton-applied work and torque
RW Jackson, CL Dembia, SL Delp, SH Collins
Dynamic Walking 2015, 2015
12015
An object oriented implementation of the Yeadon human inertia model
C Dembia, JK Moore, M Hubbard
F1000Research 3, 2014
12014
Reinforcement learning for bicycle control
B Cam, C Dembia, J Israeli
12013
The formulation of the foot-ground contact model influences the computation time of biomechanical optimal control problems
G Serrancolí, C Dembia, J Gillis, F De Groote
Proceedings of the IX Reunión del Capítulo Español de la Sociedad Europea de …, 2019
2019
OpenSim Moco: Musculoskeletal optimal control
CL Dembia, NA Bianco, A Falisse, JL Hicks, SL Delp
BioRxiv, 839381, 2019
2019
Predicting the mechanics and energetics of a variety of human gaits based on complex musculoskeletal models
A Falisse, G Serrancolí, C Dembia, J Gillis, I Jonkers, F De Groote
XXVII Congress of the International Society of Biomechanics, Location …, 2019
2019
Direct collocation, implicit differential equations, automatic differentiation: Cocktail for rapid predictive simulations of movement based on complex musculoskeletal models
A Falisse, G Serrancolí, C Dembia, J Gillis, I Jonkers, F De Groote
17th International Symposium on Computer Simulation in Biomechanics …, 2019
2019
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