Author

Lin Karman

Stanford MedicineORCID 0009-0002-7645-620XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Antoine Motte dit FalisseiD· 1 shared Audrey ChuniD· 1 shared Carmichael F. OngiD· 1 shared Constance de MontsiD· 1 shared Jennifer L. HicksiD· 1 shared John DayiD· 1 shared Melina RogersiD· 1 shared Parker S. RuthiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Antoine Motte dit FalisseORCID

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1 paper

Recent·Most cited

Deep learning models detect neuromuscular disease and quantify functional impairment from video-derived biomechanics data

Sydney C. Covitz, Parker S. Ruth, Shelby Vogt-Domke, Carmichael F. Ong, Tian Tan, Audrey Chun, sarah Ismail, Lin Karman, Antoine Motte dit Falisse, Shannon Li, Melina Rogers, Scott D. Uhlrich, John Day, Jennifer L. Hicks, Constance de Monts, , Scott L. Delp

This paper develops deep learning models to detect neuromuscular diseases and quantify movement impairment using video-derived biomechanics data from smartphone recordings.

bioRxiv · Oct 2, 2026 · PreprintBioengineering