🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Luca Sità

Italian Institute of Technology

ORCID: 0000-0003-3453-6201

Biochemistry, Genetics and Molecular BiologyNeuroscienceComputer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging”.

A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging

Nature Communications(2022)10.1038/s41467-022-29180-0

N/A

0DataRank · unranked

71 citations

Marco Brondi, Pedro Lagomarsino de Leon Roig, Sebastiano Curreli, Mariangela Panniello, Dania Vecchia +2 more

A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6938610

N/A

0DataRank · unranked

0 citations

Marco Brondi, Pedro Lagomarsino de Leon Roig, Sebastiano Curreli, Mariangela Panniello, Dania Vecchia +2 more

Fast Neuronal Segmentation of Two-Photon Functional Imaging Recordings Using CITE-On

Neuromethods(2024)10.1007/978-1-0716-4208-5_4

N/A

0DataRank · unranked

0 citations

Luca Sità, Sebastiano Curreli, Tommaso Fellin, Marco Brondi