Author

F. Palesi

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

C. A. M. Gandini Wheeler-Kingshott· 2 shared E. D'Angelo· 2 shared A. Destexhe· 1 shared A. Geminiani· 1 shared A. Pichiecchio· 1 shared C. Casellato· 1 shared E. Tartara· 1 shared G. Castellazzi· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioengineering

C. A. M. Gandini Wheeler-Kingshott

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2 papers

Recent·Most cited

A multi-layer mean-field model for the cerebellar cortex: design, validation, and prediction

R. M. Lorenzi, A. Geminiani, Y. Zerlaut, A. Destexhe, C. A. M. Gandini Wheeler-Kingshott, F. Palesi, C. Casellato, E. D'Angelo

The paper designs and validates a multi-layer mean-field model of the cerebellar cortex, showing it can reproduce neuronal dynamics and predict Purkinje cell firing modulation.

bioRxiv · Nov 24, 2022 · PreprintBioengineering

Automatic segmentation of dentate nuclei for microstructure assessment: example of application to temporal lobe epilepsy patients

M. Gaviraghi, G. Savini, G. Castellazzi, F. Palesi, N. Rolandi, S. Sacco, A. Pichiecchio, V. Mariani, E. Tartara, L. Tassi, P. Vitali, E. D'Angelo, C. A. M. Gandini Wheeler-Kingshott

This paper develops a CNN for automated dentate nuclei segmentation from DWI data, showing better performance than other methods and revealing microstructural changes in TLE patients.

bioRxiv · Jul 29, 2020 · PreprintBioengineering