Author

Alexander J. Huang

University of California, IrvineORCID 0000-0003-2343-6539Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Alexander J. Huang1 paper · University of Michigan

Biology Disciplines

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Neuroscience· 2

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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander S. TomysheviD· 2 shared Anita Riecher‐RössleriD· 2 shared Anne UhlmanniD· 2 shared Anthony C. JamesiD· 2 shared Aristotle N. VoineskosiD· 2 shared Artemis Zavaliangos‐PetropuluiD· 2 shared Benedicto Crespo‐FacorroiD· 2 shared Benson Irungu· 2 shared

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2017-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alexander S. TomyshevORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 4, 2018

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Dmitry Petrov, Boris A. Gutman, Е.Е. Кузнецов…·Paul M. Thompson

The paper develops deep learning models to assess the quality of subcortical brain shape models from MRI, reducing human rater time by 46-70%.

2 citations

imagingdeep learning

𝕏 PostBluesky

NeuroscienceLecture notes in computer sciencePeer-reviewedJan 1, 2017

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Dmitry Petrov, Boris A. Gutman, Shih-Hua…·Paul M. Thompson

This work uses machine learning to automate quality control of 3D brain shape models, reducing human workload by 30-70% across multiple datasets and diseases.

8 citations

𝕏 PostBluesky