Roberto Menè

ORCID: 0000-0003-1671-1977

Also affiliated with Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda, Universitair Ziekenhuis Brussel, Clinique Pasteur

Medicine

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: “An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar”.

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

Computer Methods and Programs in Biomedicine(2022)10.1016/j.cmpb.2022.107321

N/A

0DataRank · unranked

22 citations

Kirsten C. J. van Abeelen, Rhodri Davies, Roberto Menè, Francesca Heilbron, Francesco Perelli +11 more

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

Journal of Medical Imaging(2022)10.1117/1.jmi.9.5.054001

N/A

0DataRank · unranked

3 citations

Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour +21 more

Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems

British Journal of Radiology(2023)10.1259/bjr.20220180

N/A

0DataRank · unranked

6 citations

Aditya Killekar, Judit Simon, Andrew Lin, Sebastien Cadet, Priscilla McElhinney +22 more