Author

Matthew Scott Rosen

Harvard UniversityORCID 0000-0002-7194-002XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Juan Eugenio IglesiasiD· 2 shared Adam de HavenoniD· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Amelia DemopoulosiD· 1 shared Annabel Sorby‐AdamsiD· 1 shared Ava D. FarnaniD· 1 shared David HikeiD· 1 shared Dina Zemlyanker· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Juan Eugenio IglesiasORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 14, 2026

On the accuracy of image registration in portable low-field 3D brain MRI

Juan Eugenio Iglesias, Ian P. Johnson, Jonathan Williams-Ramirez…·Alzheimer’s Disease Neuroimaging Initiative

This study evaluates image registration accuracy in portable low-field 3D brain MRI, finding that synthesis-based methods perform best despite acquisition artifacts.

1 citation

humanimaging

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NeurosciencebioRxivPreprintMay 17, 2024

Mapping the Cerebrovascular Abnormality in Transgenic Alzheimer's Disease (AD) Mice with deep-learning-based super-resolution cerebral blood volume (CBV)-MRI

Xiaoqing Alice Zhou, Xiaochen Liu, Hongwei Li…·Xin Yu

The paper develops a deep learning-based method to segment micro-vessels from CBV MRI images of AD mice, revealing region-specific vascular density changes in degenerated brains.

DOI 10.1101/2024.05.17.594785

mousespatial transcriptomics

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