Author

Michael Fatemi

Dartmouth–Hitchcock Medical Center

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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Organism:human· 2 Assay:imaging· 2 Assay:spatial transcriptomics· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

Alos DialloiD· 2 shared Brock C. ChristenseniD· 2 shared Fred KollingiD· 2 shared Gokul Srinivasan· 2 shared Joshua LevyiD· 2 shared Louis Joseph VaickusiD· 2 shared Lucas A. SalasiD· 2 shared Scott M. Palisoul· 2 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPathology

Alos DialloORCID

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2 papers

Recent·Most cited

PathologyPacific Symposium on Biocomputing (PSB)Peer-reviewedDec 1, 2023

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

Gokul Srinivasan, Matthew Davis, Matthew R. LeBoeuf…·Joshua Levy

This paper develops machine learning models to infer spatial transcriptomics data from H&E-stained skin slides, improving the assessment of photoaging and its therapeutic implications.

6 citationstop 3%

humanspatial transcriptomics

𝕏 PostBluesky

PathologyPacific Symposium on Biocomputing (PSB)Peer-reviewedDec 1, 2023

Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis

Zarif Azher, Michael Fatemi, Yunrui Lu…·Joshua Levy

This paper applies spatial transcriptomics data with contrastive crossmodal pretraining to improve graph-based deep learning models for cancer histopathology analysis.

5 citations

humanspatial transcriptomics

𝕏 PostBluesky