Author

O. Ramwala

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

B. Christensen· 1 shared C. Sharma· 1 shared E. Feng· 1 shared F. Kolling· 1 shared G. Tsongalis· 1 shared J. Levy· 1 shared L. A. Salas· 1 shared L. Perreard· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

B. Christensen

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1 paper

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