Author

Charles Steenbergen

Johns Hopkins UniversityORCID 0000-0001-6654-325XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander T.F. BelliD· 1 shared André ForjaziD· 1 shared Arrate Muñoz‐BarrutiaiD· 1 shared Arrun SivasubramanianiD· 1 shared Ashley L. KiemeniD· 1 shared Avi Z. RosenbergiD· 1 shared Dao‐Fu DaiiD· 1 shared Denis WirtziD· 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 paperBioinformatics

Alexander T.F. BellORCID

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1 paper

Recent·Most cited

CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images

Valentina Matos-Romero, Jaime Gómez-Becerril, André Forjaz, Lucie Dequiedt, Tyler Newton, Saurabh Joshi, Yu Shen, Eban A. Hanna, Praful R. Nair, Arrun Sivasubramanian, Si-Han Wang, Emily L. Lasse Opsahl, Alexander T.F. Bell, Diogo Fróis-Vieira, Julianna M. Czum, , Ashley L. Kiemen

CODAvision provides a user-friendly interface for rapid, customizable medical image segmentation using deep learning, enabling non-experts to train and evaluate models across diverse imaging modalities.

Nature Protocols · Jul 7, 2026Peer-reviewedBioinformatics