Author

C. Ong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:imaging· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

S. Delp· 3 shared A. Habib· 1 shared A. Seth· 1 shared C. Atkeson· 1 shared D. Xu· 1 shared E. Kuhl· 1 shared H. Hao· 1 shared J. Dunne· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersBioengineering

S. Delp

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Personalizing a computational upper body model improves kinematic tracking in high range-of-motion arm movements

J. N. Maier, N. A. Bianco, C. Ong, J. Muccini, E. Kuhl, S. Delp

The paper personalizes a computational upper body model to improve kinematic tracking in arm movements, showing reduced tracking errors in both static and dynamic poses.

bioRxiv · Jun 12, 2024 · PreprintBioengineering

Heparan sulfate promotes TRAIL-induced tumor cell apoptosis

Y. Luo, H. Hao, Z. Wang, C. Ong, R. Dutcher, Y. Xu, J. Liu, L. C. Pedersen, D. Xu

This study identifies heparan sulfate as a key regulator of TRAIL-induced apoptosis, showing that HS enhances TRAIL's apoptotic activity by promoting oligomerization and DR5 internalization.

bioRxiv · Jul 26, 2023Cell Biology

OpenSense: An open-source toolbox for Inertial-Measurement-Unit-based measurement of lower extremity kinematics over long durations

M. Al Borno, J. O'Day, V. Ibarra, J. Dunne, A. Seth, A. Habib, C. Ong, J. Hicks, S. Uhlrich, S. Delp

OpenSense estimates lower extremity joint kinematics from IMUs with accuracy comparable to optical motion capture and minimal drift over 10 minutes.

Journal of NeuroEngineering and Rehabilitation · Feb 20, 2022Peer-reviewedBioengineering

Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation

S. Song, Łukasz Kidzinski, X. B. Peng, C. Ong, J. L. Hicks, S. Levine, C. Atkeson, S. Delp

This paper reviews neuromechanical simulations and reinforcement learning for human locomotion, presents a competition to advance the field, and highlights achievements in simulating complex movements.

bioRxiv · Aug 11, 2020Bioengineering