Author

C. Innocenti

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 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

B. Selvaraj· 1 shared C. Pedrinaci· 1 shared I. Gaffney· 1 shared J. Cohen-Setton· 1 shared J. Hipp· 1 shared K. Baykaner· 1 shared L. A. L. Dillon· 1 shared M. Frangos· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

B. Selvaraj

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1 paper

Recent·Most cited

An Unsupervised Graph Embeddings Approach to Multiplex Immunofluorescence Image Exploration

C. Innocenti, Z. Zhang, B. Selvaraj, I. Gaffney, M. Frangos, J. Cohen-Setton, L. A. L. Dillon, M. J. Surace, C. Pedrinaci, J. Hipp, K. Baykaner

This paper introduces GraphITE, a deep learning pipeline that transforms multiplex immunofluorescence data into graph embeddings for exploratory analysis of tumor microenvironment patterns.

bioRxiv · Jun 9, 2021 · PreprintPathology