Author

Shih-Hua

University of Southern California

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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Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alexander J. HuangiD· 1 shared Alexander S. TomysheviD· 1 shared André AlemaniD· 1 shared Anita Riecher‐RössleriD· 1 shared Anne UhlmanniD· 1 shared Anthony C. JamesiD· 1 shared Aristotle N. VoineskosiD· 1 shared Artemis Zavaliangos‐PetropuluiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alexander J. HuangORCID

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1 paper

Recent·Most cited

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

Dmitry Petrov, Boris A. Gutman, Shih-Hua, Theo G.M. van Erp, Jessica A. Turner, Lianne Schmaal, Dick J. Veltman, Lei Wang, Kathryn I. Alpert, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Christopher R. K. Ching, Vince D. Calhoun, David C. Glahn, Theodore Daniel Satterthwaite, , 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.

Lecture notes in computer science · Jan 1, 2017Peer-reviewedNeuroscience