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Fingerprint Dive into the research topics where Paolo Brambilla is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 45 Similar Profiles
Bipolar Disorder Medicine & Life Sciences
Schizophrenia Medicine & Life Sciences
Brain Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences
Psychotic Disorders Medicine & Life Sciences
Prefrontal Cortex Medicine & Life Sciences
Corpus Callosum Medicine & Life Sciences
Mood Disorders Medicine & Life Sciences

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Research Output 1998 2019

A focus on valproate and cognitive deficits in Bipolar Disorders: A mini-review

Pigoni, A., Mandolini, G. M., Delvecchio, G., Bressi, C., Soares, J. C. & Brambilla, P., Jan 1 2019, In : Journal of Affective Disorders.

Research output: Contribution to journalArticle

Valproic Acid
Bipolar Disorder
Short-Term Memory

Altered syntactic abilities in first episode patients: An inner phenomenon characterizing psychosis

the GET UP Group, Delvecchio, G., Caletti, E., Perlini, C., Siri, F. M., Andreella, A., Finos, L., Bellani, M., Fabbro, F., Lasalvia, A., Bonetto, C., Cristofalo, D., Scocco, P., D'Agostino, A., Torresani, S., Imbesi, M., Bellini, F., Veronese, A., Bressi, C., Ruggeri, M. & 1 others, Brambilla, P., Sep 1 2019, In : European Psychiatry. 61, p. 119-126 8 p.

Research output: Contribution to journalArticle

Psychotic Disorders

Analysis of dynamic brain connectivity through geodesic clustering

Yamin, A., Dayan, M., Squarcina, L., Brambilla, P., Murino, V., Diwadkar, V. & Sona, D., Jan 1 2019, Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Proceedings. Ricci, E., Sebe, N., Rota Bulò, S., Snoek, C., Lanz, O. & Messelodi, S. (eds.). Springer Verlag, p. 640-648 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11752 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geodesic Distance

Automated cortical thickness and skewness feature selection in bipolar disorder using a semi-supervised learning method

Squarcina, L., Dagnew, T. M., Rivolta, M. W., Bellani, M., Sassi, R. & Brambilla, P., Sep 1 2019, In : Journal of Affective Disorders. 256, p. 416-423 8 p.

Research output: Contribution to journalArticle

Bipolar Disorder
Parietal Lobe
Temporal Lobe

Can Machine Learning help us in dealing with treatment resistant depression? A review

Pigoni, A., Delvecchio, G., Madonna, D., Bressi, C., Soares, J. & Brambilla, P., Dec 1 2019, In : Journal of Affective Disorders. 259, p. 21-26 6 p.

Research output: Contribution to journalArticle

Treatment-Resistant Depressive Disorder
Major Depressive Disorder
Machine Learning