Richard Ríos

MedicinePhysics and AstronomyEngineering

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 4 papers. Top paper: “Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths”.

Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths

JACC. Cardiovascular imaging(2020)10.1016/j.jcmg.2020.08.024

N/A

0DataRank · unranked

110 citations

Piotr J. Slomka, Richard Ríos, Julián Betancur, Michael J. Blaha, Khurram Nasir +8 more

Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT

European Heart Journal - Cardiovascular Imaging(2020)10.1093/ehjci/jeaa134

N/A

0DataRank · unranked

64 citations

Robert J.H. Miller, Tali Sharir, Frédéric Commandeur, Richard Ríos, Andrew J. Einstein +14 more

Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry

Cardiovascular Research(2021)10.1093/cvr/cvab236

N/A

0DataRank · unranked

41 citations

Robert J.H. Miller, Lien-Hsin Hu, Yuka Otaki, Ananya Singh, Márcio A. Diniz +18 more

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.105449

N/A

0DataRank · unranked

40 citations

Robert J.H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews B. Fish +15 more