Author

R. Barney

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:fluorescence / live-cell microscopy· 1 Approach:graph neural network· 1 Assay:imaging· 1

Frequent Co-Authors

B. Christensen· 2 shared C. Sharma· 2 shared F. Kolling· 2 shared G. Tsongalis· 2 shared J. Levy· 2 shared L. Vaickus· 2 shared S. Palisoul· 2 shared C. Jackson· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersPathology

B. Christensen

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study

M. Fatemi, E. Feng, C. Sharma, Z. Azher, T. Goel, O. Ramwala, S. Palisoul, R. Barney, L. Perreard, F. Kolling, L. A. Salas, B. Christensen, G. Tsongalis, L. Vaickus, J. Levy

This study investigates using deep learning to predict spatial transcriptomics data from whole slide images to assess colorectal tumor metastasis, finding that convolutional networks outperform transformer and graph-based models.

bioRxiv · Nov 24, 2022 · PreprintPathology

Graph neural networks ameliorate potential impacts of imprecise large-scale autonomous immunofluorescence labeling of immune cells on whole slide images

R. Reddy, R. Reddy, C. Sharma, C. Jackson, S. Palisoul, R. Barney, F. Kolling, L. Salas, B. Christensen, G. Tsongalis, L. Vaickus, J. Levy

This study uses graph neural networks to improve TIL classification on whole slide images by leveraging contextual features from immunofluorescence labeling.

bioRxiv · Aug 28, 2022 · PreprintPathology