Antoine Falisse

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

Friedl De Groote, Gil Serrancolí, Antoine Falisse, 2019, PloS one.

The formulation of the foot-ground contact model influences the computation time of biomechanical optimal control problems

Friedl De Groote, Gil Serrancolí, Antoine Falisse, 2019 .

OpenSim Moco: Musculoskeletal optimal control

Scott L. Delp, Antoine Falisse, Jennifer L. Hicks, 2019, bioRxiv.

OpenSim Versus Human Body Model: A Comparison Study for the Lower Limbs During Gait.

Ilse Jonkers, Antonie J van den Bogert, Frans Steenbrink, 2018, Journal of applied biomechanics.

EMG-Driven Optimal Estimation of Subject-SPECIFIC Hill Model Muscle–Tendon Parameters of the Knee Joint Actuators

Ilse Jonkers, Friedl De Groote, Antoine Falisse, 2017, IEEE Transactions on Biomedical Engineering.

Subject-Exoskeleton Contact Model Calibration Leads to Accurate Interaction Force Predictions

Ilse Jonkers, Dirk Lefeber, Kevin Tanghe, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A spasticity model based on feedback from muscle force explains muscle activity during passive stretches and gait in children with cerebral palsy

Ilse Jonkers, Kaat Desloovere, Lynn Bar-On, 2018, PloS one.

Physics-Based Simulations to Predict the Differential Effects of Motor Control and Musculoskeletal Deficits on Gait Dysfunction in Cerebral Palsy: A Retrospective Case Study

Ilse Jonkers, Kaat Desloovere, Eirini Papageorgiou, 2020, Frontiers in Human Neuroscience.

The influence of maximum isometric muscle force scaling on estimated muscle forces from musculoskeletal models of children with cerebral palsy.

Ilse Jonkers, Kaat Desloovere, Hans Kainz, 2018, Gait & posture.