Author

Junho Park

University of CalgaryORCID 0000-0001-6348-3765Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Junho Park1 paper · CHA University

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:electronic health records· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew Choi· 2 shared Amin KomeiliiD· 1 shared Amirreza Hosseini· 1 shared Cordelia Yip· 1 shared Daniel ChoiiD· 1 shared Daniel ChoiiD· 1 shared Koren E. RoachiD· 1 shared Quan LamiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Andrew Choi

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3 papers

Recent·Most cited

Inter-Individual Variability in Cycling Biomechanics During Experimentally Induced Movement-Evoked Knee Pain

Sierra Sweeney, Amirreza Hosseini, Shahram Rasoulian, Reza Ahmadi, Koren E. Roach, Junho Park, Amin Komeili, Saied Jalal Aboodarda

This study examines how experimentally induced knee pain affects bilateral cycling biomechanics and inter-individual variability in motor responses.

bioRxiv · Oct 16, 2026 · PreprintNeuroscience

A retrospective public external benchmark of healthy-to-stroke lower-limb EEG transport identifies constraints from source construction, adaptation burden, and confound sensitivity

Daniel Choi, Andrew Choi, Quan Lam, Junho Park

The paper benchmarks healthy-to-stroke lower-limb EEG transport using public datasets, finding that source construction and adaptation burden are more important than model type.

bioRxiv · Mar 30, 2026 · PreprintNeuroscience

Fail closed trust gated synthetic augmentation governs tail risk under subject shift in EEG

Daniel Choi, Cordelia Yip, Andrew Choi, Junho Park

The paper introduces trust-gated augmentation to reduce harm from synthetic data in EEG tasks under subject shift, showing improved generalization and reduced performance degradation.

bioRxiv · Jan 28, 2026 · PreprintBioinformatics