Author

Chiara Mauri

Harvard UniversityORCID 0000-0002-4928-9744Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Bruce R. FischliD· 2 shared Cole AnaloroiD· 2 shared Yaël BalbastreiD· 2 shared Abigail Visser· 1 shared Achraf Malki· 1 shared Adam Willis· 1 shared Akram Malki· 1 shared Alexandre BellieriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Bruce R. FischlORCID

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2 papers

Recent·Most cited

Hierarchical X-ray microscopy and mesoscopic diffusion MRI in the same brain reveal the human connectome across scales

Matthieu Chourrout, Ting Gong, Richard Lee Schalek, Andrew Keenlyside, Yaël Balbastre, Neha Karlupia, Ricardo A. Gonzales, István N. Huszár, Eric Wanjau, Joseph Brunet, Theresa Urban, Hector Dejea, David Stansby, Kabilar Gunalan, Bess Glickman, , Claire Walsh

The paper presents a multimodal imaging pipeline that combines diffusion MRI and high-resolution X-ray microscopy to map the human connectome across multiple scales.

bioRxiv · Apr 6, 2026 · PreprintNeuroscience

VesSynth: Tubes Are All You Need for Robust Cross-Scale Cross-Modal 3D Vessel Segmentation

Chiara Mauri, Allison McKenzie, Cole Analoro, Emma Yeon, Rose Coviello, Jocelyn Mora, Etienne Chollet, Lucas J Deden-Binder, Ara Mahar, Stephanie Lin, Malak Benlahcen, Angelina Ream, Aliyah Jama, Itzel Garcia, Nam Tran, , Yaël Balbastre

This paper introduces VesSynth, a vessel segmentation framework trained on synthetic data that achieves state-of-the-art accuracy across multiple imaging modalities and spatial resolutions.

bioRxiv · Apr 6, 2026 · PreprintBioengineering