Author

T. J. Fuchs

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· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 3 Assay:imaging· 3 Organism:human· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. J. Schaumberg· 2 shared S. J. Sirintrapun· 2 shared A. C. McKee· 1 shared A. Morini· 1 shared A. T. McKenzie· 1 shared B. D. Sener· 1 shared B. S. Pritt· 1 shared B. Xu· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPathology

A. J. Schaumberg

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Author profile →

3 papers

Recent·Most cited

Interpretable deep learning of myelin histopathology in age-related cognitive impairment

A. T. McKenzie, G. Marx, D. Koenigsberg, M. Sawyer, M. A. Iida, J. M. Walker, T. E. Richardson, G. Campanella, J. Attems, A. C. McKee, T. D. Stein, T. J. Fuchs, C. L. White, The PART Working Group, K. Farrell, J. F. Crary

This study uses interpretable deep learning to identify myelin pallor in brain tissue associated with cognitive impairment from postmortem human samples.

bioRxiv · Jun 6, 2022Pathology

Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media

A. J. Schaumberg, W. C. Juarez-Nicanor, S. J. Choudhury, L. G. Pastrian, B. S. Pritt, M. Prieto Pozuelo, R. Sotillo Sanchez, K. Ho, N. Zahra, B. D. Sener, S. Yip, B. Xu, S. R. Annavarapu, A. Morini, K. A. Jones, , T. J. Fuchs

The paper develops interpretable deep learning models to search for similar disease states across social media and PubMed using histopathology images and clinical data, achieving high precision in real-time diagnosis assistance.

bioRxiv · Mar 9, 2020Pathology

DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope

A. J. Schaumberg, S. J. Sirintrapun, H. A. Al-Ahmadie, P. J. Schueffler, T. J. Fuchs

DeepScope annotates and predicts salient regions in whole-slide images using video recordings of pathologists' clinical work, achieving high accuracy in bladder and prostate cancer detection.

bioRxiv · Jan 22, 2017Pathology