Junchi Liu

Also affiliated with Chinese Academy of Sciences, Nankai University, Institute of Vertebrate Paleontology and Paleoanthropology

Earth and Planetary SciencesSocial SciencesMedicine

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: “Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging”.

Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging

Medical Physics(2020)10.1002/mp.14577

N/A

0DataRank · unranked

49 citations

Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King, Junchi Liu

Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising

Journal of Nuclear Cardiology(2021)10.1007/s12350-021-02676-w

N/A

0DataRank · unranked

11 citations

Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Piotr J. Slomka, Michael A. King +1 more

Assessment of Defect Detection in Post-Filtering and Deep Learning Denoising Strategies for Reduced Dose Myocardial Perfusion SPECT Employing Human and Polar Map Observers

2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)(2021)10.1109/nss/mic44867.2021.9875872

N/A

0DataRank · unranked

1 citations

Junchi Liu, Kesava S. Kalluri, Michael A. King, Ben Auer, Clifford Lindsay +4 more

Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning

Journal of Nuclear Cardiology(2023)10.1007/s12350-023-03295-3

N/A

0DataRank · unranked

9 citations

Junchi Liu, Kesava S. Kalluri, Yulei Jiang, Jeffery A. Leppo, Seth T. Dahlberg +11 more