Author

Collin M. Stultz

Massachusetts General HospitalORCID 0000-0002-3415-242XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:Hi-C· 1 Organism:mouse· 1

Frequent Co-Authors

Alvaro Quintanal Villalonga· 1 shared Angeliki KaratzaiD· 1 shared Åsa SegerstolpeiD· 1 shared Aviv RegeviD· 1 shared Bo LiiD· 1 shared Bruce Robert RoseniD· 1 shared Charles M. RudiniD· 1 shared Charles S. ComiteriD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Alvaro Quintanal Villalonga

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 21, 2023

Inference of single cell profiles from histology stains with the Single-Cell omics from Histology Analysis Framework (SCHAF)

Charles S. Comiter, Xingjian Chen, Eeshit Dhaval Vaishnav…·Aviv Regev

SCHAF generates spatially resolved single-cell transcriptomes from H&E histology images using vision transformers and adversarial learning, showing good agreement with ground-truth data.

34 citations

humanmouse

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BioinformaticsFrontiers in Cardiovascular MedicinePeer-reviewedSep 3, 2021

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

Manuel A. Morales, Maaike van den Boomen, Christopher T Nguyen…·Ciprian Catana

This paper develops a deep learning workflow to automatically analyze cardiac mechanics from cine-MRI data, showing high accuracy and reliability in strain and strain rate measurements.

51 citationstop 3%

humanimaging

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