Author

Giuliano Geminiani

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

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:field survey / ecological data· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

Franco CaudaiD· 2 shared Sergio Duca· 2 shared Tommaso CostaiD· 2 shared Alessandro Vercelli· 1 shared Francesca Bianco· 1 shared Karina TatuiD· 1 shared Luciamo Fava· 1 shared Matteo Diano· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersNeuroscience

Franco CaudaORCID

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Author profile →

2 papers

Recent·Most cited

NODE DETECTION USING HIGH-DIMENSIONAL FUZZY PARCELLATION APPLIED TO THE INSULAR CORTEX

Ugo Vercelli, Matteo Diano, Tommaso Costa, Sergio Duca, Giuliano Geminiani, Alessandro Vercelli, Franco Cauda

The paper introduces a fuzzy c-mean clustering method to detect nodes in the insular cortex, revealing new functional connectivity patterns beyond existing models.

Neural Plasticity · Jan 1, 2016Peer-reviewedNeuroscience

PREDICTABILITY OF AUTISM, SCHIZOPHRENIC AND OBSESSIVE SPECTRA DIAGNOSIS. TOWARD A DAMAGE NETWORK APPROACH

Franco Cauda, Tommaso Costa, Luciamo Fava, Sara Palermo, Francesca Bianco, Sergio Duca, Giuliano Geminiani, Karina Tatu, Roberto Keller

This study uses neuroimaging to challenge the distinction between autism, schizophrenia, and obsessive-compulsive disorders, finding common brain damage patterns and proposing a two-cluster damage network model.

bioRxiv · Jan 29, 2015 · PreprintNeuroscience