Author

Rogeny Herisse

Harvard University

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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Neuroscience· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bruce R. FischliD· 3 shared Yaël BalbastreiD· 3 shared Divya VaradarajaniD· 2 shared Jocelyn MoraiD· 2 shared Juan Eugenio IglesiasiD· 2 shared Lucas J Deden-Binder· 2 shared Xiangrui ZengiD· 2 shared Abigail Visser· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersNeuroscience

Bruce R. FischlORCID

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Author profile →

3 papers

Recent·Most cited

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

Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Harshvardhan Gazula, Henry F. J. Tregidgo, Benjamin Billot, Yaël Balbastre, Jonathan Williams-Ramirez, Rogeny Herisse, Lucas J Deden-Binder, Adrià Casamitjana, Erica J. Melief, Caitlin S. Latimer, Mitchell D. Kilgore, Mark Montine, Eleanor Robinson, Emily Blackburn, Michael S Marshall, , Juan Eugenio Iglesias

The paper develops open-source tools for 3D analysis of brain dissection photographs and surface scans, achieving accurate reconstructions and segmentations comparable to MRI.

eLife · Dec 12, 2023Peer-reviewedNeuroscience

Segmentation of supragranular and infragranular layers in ultra-high resolution 7T ex vivo MRI of the human cerebral cortex

Xiangrui Zeng, Oula Puonti, Areej Sayeed, Rogeny Herisse, Jocelyn Mora, Kathryn Evancic, Divya Varadarajan, Yaël Balbastre, Irene Costantini, Marina Scardigli, Josephine Ramazzotti, Danila DiMeo, Giacomo Mazzamuto, Luca Pesce, Niamh Brady, , Bruce R. Fischl

This paper introduces a semi-supervised segmentation model for identifying supragranular and infragranular layers in human cerebral cortex MRI scans with high precision.

bioRxiv · Dec 6, 2023 · PreprintNeuroscience