Author

E. Halilaj

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· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

R. Ferber· 2 shared S. Shin· 2 shared A. Godura· 1 shared E. Rapp· 1 shared K. J. Kuchenbecker· 1 shared N. Rokhmanova· 1 shared O. D. Pearl· 1 shared P. B. Shull· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioengineering

R. Ferber

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3 papers

Recent·Most cited

Fusion of Video and Inertial Sensing Data via Dynamic Optimization of a Biomechanical Model

O. D. Pearl, S. Shin, A. Godura, S. Bergbreiter, E. Halilaj

This study fuses RGB video and inertial sensing data using a dynamically constrained biomechanical model, showing improved motion tracking accuracy compared to single-modality and unconstrained fusion methods.

bioRxiv · Nov 15, 2022Biophysics

Predicting Knee Adduction Moment Response to Gait Retraining with Minimal Clinical Data

N. Rokhmanova, K. J. Kuchenbecker, P. B. Shull, R. Ferber, E. Halilaj

This paper predicts the reduction in knee adduction moment after gait retraining using minimal clinical data and synthetic datasets.

bioRxiv · Sep 29, 2021Bioengineering

Estimation of Kinematics from Inertial Measurement Units Using a Combined Deep Learning and Optimization Framework

E. Rapp, S. Shin, W. Thomsen, R. Ferber, E. Halilaj

This paper introduces a deep learning and optimization framework to estimate lower extremity joint angles from inertial data without magnetometer reliance, achieving sub-3 degree RMS error in motion trials.

bioRxiv · Dec 29, 2020Bioengineering