Author

Eleonora Maggioni

Fondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoORCID 0000-0003-4331-4029Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Anna Maria BianchiiD· 1 shared Bin HeiD· 1 shared Elena BondiiD· 1 shared Emma TassiiD· 1 shared Fabrizio PirasiD· 1 shared Francesco BenedettiiD· 1 shared Igor NenadićiD· 1 shared Inês Won SampaioiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Anna Maria BianchiORCID

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2 papers

Recent·Most cited

EEG-Informed fMRI Analysis Reveals Neurovascular Coupling in Motor Execution and Imagery

Elena Bondi, Yidan Ding, Yisha Zhang, Eleonora Maggioni, Bin He

This study uses EEG-informed fMRI to analyze neurovascular coupling during motor execution and imagery, revealing negative covariation between EEG alpha power and BOLD responses.

bioRxiv · Jan 13, 2025 · PreprintNeuroscience

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, Francesco Benedetti, Igor Nenadić, Mary Louise Phillips, Fabrizio Piras, Lakshmi N. Yatham, Anna Maria Bianchi, Paolo Brambilla, 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.

Artificial Intelligence in Medicine · Jan 2, 2025Peer-reviewedNeuroscience