Hidenari Matsumoto

Also affiliated with Shibuya University Network

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

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

Quantification of Low-Attenuation Plaque Burden from Coronary CT Angiography: A Head-to-Head Comparison with Near-Infrared Spectroscopy Intravascular US

Radiology Cardiothoracic Imaging(2023)10.1148/ryct.230090

N/A

0DataRank · unranked

12 citations

Hidenari Matsumoto, Sebastien Cadet, Satoshi Higuchi, Hidefumi Ohya, Koji Isodono +10 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