Author

A. T. Shafer

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:multiome· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

B. A. Landman· 2 shared K. G. Schilling· 2 shared S. M. Resnick· 2 shared A. W. Anderson· 1 shared B. D. Boyd· 1 shared B. N. Conrad· 1 shared B. P. Rogers· 1 shared B. Rogers· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioengineering

B. A. Landman

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2 papers

Recent·Most cited

PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

L. Y. Cai, Q. Yang, C. B. Hansen, V. Nath, K. Ramadass, G. W. Johnson, B. N. Conrad, B. D. Boyd, J. P. Begnoche, L. L. Beason-Held, A. T. Shafer, S. M. Resnick, W. D. Taylor, G. R. Price, V. L. Morgan, , B. A. Landman

The paper introduces PreQual, an automated pipeline that preprocesses and quality assures diffusion weighted MRI images using multiple tools and generates QA reports.

bioRxiv · Sep 14, 2020Bioengineering

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

K. G. Schilling, J. Blaber, C. Hansen, L. Cai, B. Rogers, A. W. Anderson, S. Smith, P. Kanakaraj, T. Rex, S. M. Resnick, A. T. Shafer, L. Cutting, N. Woodward, D. Zald, B. A. Landman

This study develops a deep learning method to correct diffusion MRI distortions without reverse phase-encoding scans or field maps, showing effective correction on diverse datasets.

bioRxiv · Jan 19, 2020 · PreprintBioengineering