Author

D. Manthey

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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Pathology· 4

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Assay:imaging· 4 Approach:deep learning· 3 Research Focus:clustering· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

P. Sarder· 4 shared A. Z. Rosenberg· 3 shared B. A. Jones· 2 shared B. A. Santo· 2 shared B. R. Lutnick· 2 shared J. B. Kopp· 2 shared J. E. Zuckerman· 2 shared J. U. Becker· 2 shared

Activity by Year

2021-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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4 shared papersPathology

P. Sarder

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Author profile →

4 papers

Recent·Most cited

ComPRePS: Unlocking Scalable AI Analysis for Computational Renal Pathology

A. S. Paul, L. A. Rodrigues, S. Katari Chaluva Kumar, D. Manthey, S. Boarder, C. Pardinhas, C. Pimenta, V. Sousa, A. Figueiredo, R. Alves, B. A. Santo, W. Dunklin, S. Devarasetty, H. Abdelazim, A. B. Fogo, , P. Sarder

ComPRePS improves renal pathology analysis by automating WSI processing and AI-assisted interpretation, enhancing precision and interobserver agreement in key lesion assessments.

bioRxiv · Mar 21, 2024 · PreprintPathology

A tool for federated training of segmentation models on whole slide images.

B. R. Lutnick, D. Manthey, J. U. Becker, J. E. Zuckerman, L. Rodrigues, K. Y. Jen, P. Sarder

The paper demonstrates that federated learning can train segmentation models on whole slide images with performance comparable to centralized training across multiple institutions.

bioRxiv · Aug 17, 2021Pathology

A user-friendly tool for cloud-based whole slide image segmentation, with examples from renal histopathology

B. R. Lutnick, D. Manthey, J. U. Becker, B. Ginley, K. Moos, J. E. Zuckerman, L. Rodrigues, A. J. Gallan, L. Barisoni, C. E. Alpers, X. Wang, K. Myakala, B. A. Jones, M. Levi, J. B. Kopp, , Kidney Precision Medicine Project

Histo-Cloud is a cloud-based tool for whole slide image segmentation that simplifies access for non-experts, demonstrating its use in renal histopathology.

bioRxiv · Aug 16, 2021Pathology

PodoCount: A robust, fully automated whole-slide podocyte quantification tool

B. A. Santo, D. Govind, P. Daneshpajouhnejad, X. Yang, X. X. Wang, K. Myakala, B. A. Jones, M. Levi, J. B. Kopp, L. J. Niedernhofer, D. Manthey, K. C. Moon, S. S. Han, A. Z. Rosenberg, P. Sarder

PodoCount quantifies podocytes in kidney tissues with high accuracy, showing strong correlation with disease diagnosis and clinical outcomes in both murine models and human diabetic nephropathy.

bioRxiv · Apr 27, 2021Pathology