Can Zheng

EngineeringMedicine

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: “Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach”.

Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)10.1109/embc46164.2021.9630718

N/A

0DataRank · unranked

5 citations

Xinlu Chen, Bach T. Nguyen, Pia Sanpitak, Jasmine Vu, Ulaş Bağcı +2 more

Application of Deep Learning to Predict RF Heating of Cardiac Leads During Magnetic Resonance Imaging at 1.5 T and 3 T

Research Square(2021)10.21203/rs.3.rs-701811/v1

N/A

0DataRank · unranked

1 citations

Can Zheng, Bach T. Nguyen, Pia Sanpitak, Kelvin Chow, Xiaoming Bi +3 more

Application of Machine learning to predict RF heating of cardiac leads during magnetic resonance imaging at 1.5 T and 3 T: A simulation study

Journal of Magnetic Resonance(2023)10.1016/j.jmr.2023.107384

N/A

0DataRank · unranked

3 citations

Can Zheng, Laleh Golestanirad, Xinlu Chen