Author

Inês Won Sampaio

Fondazione Politecnico di MilanoORCID 0009-0000-0907-7133Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Anna Maria BianchiiD· 1 shared Eleonora MaggioniiD· 1 shared Emma TassiiD· 1 shared Fabrizio PirasiD· 1 shared Francesco BenedettiiD· 1 shared Igor NenadićiD· 1 shared Lakshmi N. YathamiD· 1 shared Marcella BellaniiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Anna Maria BianchiORCID

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1 paper

Recent·Most cited

NeuroscienceArtificial Intelligence in MedicinePeer-reviewedJan 2, 2025

A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework.

Inês Won Sampaio, Emma Tassi, Marcella Bellani…·Eleonora Maggioni

This paper develops a deep autoencoder for detecting brain morphology anomalies in bipolar disorder using the StratiBip dataset, finding greater and more heterogeneous deviations in BD patients.

5 citations

humanimaging

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