Author

Cheryl Mary Corcoran

Icahn School of Medicine at Mount SinaiORCID 0000-0002-8902-4353Unclaimed 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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Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Tiziano Colibazzi· 2 shared Adriana ForteaiD· 1 shared Alexander S. TomysheviD· 1 shared Anastasia TheodoridouiD· 1 shared Ashleigh Peng LiniD· 1 shared Barnaby NelsoniD· 1 shared Birte Yding GlenthojiD· 1 shared Bjørn Hylsebeck EbdrupiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Tiziano Colibazzi

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2 papers

Recent·Most cited

Multimodal fusion of brain signals for robust prediction of psychosis transition

Jenna Reinen, Pablo I. Polosecki, Eduardo Castro, Cheryl Mary Corcoran, Guillermo Cecchi, Tiziano Colibazzi

The paper uses multimodal machine learning to predict psychosis conversion and finds that integrating multiple data types improves prediction accuracy.

Schizophrenia · May 21, 2024Peer-reviewedNeuroscience

Normative modeling of brain morphometry in Clinical High-Risk for Psychosis

Shalaila S. Haas, Ruiyang Ge, Ingrid Agartz, G. Paul Amminger, Ole A. Andreassen, Peter Bachman, Inmaculada Baeza, Sunah Choi, Tiziano Colibazzi, Vanessa Cropley, Camilo de la Fuente‐Sandoval, Bjørn Hylsebeck Ebdrup, Adriana Fortea, Paolo Fusar‐Poli, Birte Yding Glenthoj, , Sophia Frangou

This study examines brain morphometric deviations in individuals at clinical high-risk for psychosis and finds they largely overlap with healthy variation and are not strongly associated with symptom severity or conversion to psychosis.

bioRxiv · Jan 17, 2023 · PreprintNeuroscience