Leonardo Rundo

MedicineComputer ScienceNeuroscience

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: “Deep learning-based segmentation of multisite disease in ovarian cancer”.

Deep learning-based segmentation of multisite disease in ovarian cancer

European Radiology Experimental(2023)10.1186/s41747-023-00388-z

N/A

0.483DataRank · unranked

24 citations

Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar +22 more

Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer

medRxiv(2023)10.1101/2023.01.10.22279679

N/A

0.312DataRank · unranked

7 citations

Leonardo Rundo, Ramona Woitek, L. Escudero, Lucian Beer, Mireia Crispin-Ortuzar +22 more

ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy.

Apollo (University of Cambridge)(2020)10.17863/cam.74749

N/A

0DataRank · unranked

0 citations

Andrea Tangherloni, Darren R. Tyson, Riccardo Betta, Militello, Carmelo, Simone Spolaor +8 more