Author

Akshay Sanjay Chaudhari

Stanford MedicineORCID 0000-0002-3667-6796Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:contrastive learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Andrew Christopher SmithiD· 1 shared Antoine Motte dit FalisseiD· 1 shared Brett Chy· 1 shared Christine Sze Wan LawiD· 1 shared Dario PfyfferiD· 1 shared Dave Van VeeniD· 1 shared Dmitry LyumkisiD· 1 shared Gary H. GloveriD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperNeuroscience

Andrew Christopher SmithORCID

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3 papers

Recent·Most cited

Marker Data Enhancement For Markerless Motion Capture

Antoine Motte dit Falisse, Scott D. Uhlrich, Akshay Sanjay Chaudhari, Jennifer L. Hicks, Scott L. Delp

This paper improves motion capture accuracy by enhancing sparse keypoints with a more generalizable marker enhancer trained on a larger dataset.

IEEE Transactions on Biomedical Engineering · Jan 17, 2025Peer-reviewedBioengineering

Mapping Hand Function with Simultaneous Brain-Spinal Cord Functional MRI

Valeria Oliva, Sandrine Bédard, Merve Kaptan, Dario Pfyffer, Brett Chy, Susanna Aufrichtig, Nazrawit Berhe, Akshay Sanjay Chaudhari, Suzanne A. Tharin, Serena S. Hu, John Kevin Ratliff, Zachary Adam Smith, Andrew Christopher Smith, Gary H. Glover, Sean Mackey, , Kenneth Arnold Weber II

This study uses simultaneous brain-spinal cord fMRI to map neural activity related to hand strength and dexterity, revealing graded activation and inhibition patterns across motor and sensory regions.

Imaging Neuroscience · Jan 1, 2025Peer-reviewedNeuroscience

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

Dave Van Veen, Jesús G. Galaz-Montoya, Liyue Shen, Philip Rupert Baldwin, Akshay Sanjay Chaudhari, Dmitry Lyumkis, Michael F. Schmid, Wah Chiu, John M. Pauly

This paper introduces an unsupervised learning approach using coordinate networks to address the missing wedge problem in cryoET, improving reconstruction quality and reducing runtime.

International Journal of Molecular Sciences · May 17, 2024Peer-reviewedMolecular Biology