🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Yongyi Yang

Xihua University

ORCID: 0000-0003-3564-3260

Also affiliated with Illinois Institute of Technology, Beijing Botanical Garden, Kunshan Govisionox Optoelectronic (China), South China Botanical Garden, First Affiliated Hospital Zhejiang University, Zhejiang University

MedicineComputer ScienceEngineering

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 13 papers. Top paper: “Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising”.

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
0.373DataRank · unranked
11 citations

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

Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imaging

Physics in Medicine and Biology(2024)10.1088/1361-6560/ad8b09
N/A
0.269DataRank · unranked
5 citations

P. Hendrik Pretorius, Yongyi Yang, Michael A. King, Clifford Lindsay, Yuan Chen

Development and evaluation of a high performance T1‐weighted brain template for use in studies on older adults

Human Brain Mapping(2021)10.1002/hbm.25327
N/A
0DataRank · unranked
24 citations

Mohammad Rakeen Niaz, Yingjuan Wu, Xiaoxiao Qi, Shengwei Zhang, Marinos Kontzialis +7 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

Respiratory signal estimation for cardiac perfusion SPECT using deep learning

Medical Physics(2023)10.1002/mp.16653
N/A
0DataRank · unranked
10 citations

P. Hendrik Pretorius, Clifford Lindsay, Yongyi Yang, Michael A. King, Yuan Chen

Cardiac motion correction with a deep learning network for perfusion defect assessment in single-photon emission computed tomography myocardial perfusion imaging

Journal of Nuclear Cardiology(2024)10.1016/j.nuclcard.2024.102071
N/A
0DataRank · unranked
10 citations

Yongyi Yang, P. Hendrik Pretorius, Piotr J. Slomka, Michael A. King, Xirang Zhang

Impact of respiratory motion-matched attenuation correction for different lesion locations in dual-gated SPECT

(2024)10.1109/nss/mic/rtsd57108.2024.10655775
N/A
0DataRank · unranked
0 citations

Shi Zhou, H. Pretorius, Yongyi Yang, Michael A. King, M. Jin +1 more

Investigation of Attenuation Correction Methods for Dual-Gated Single Photon Emission Computed Tomography (DG-SPECT)

Bioengineering(2025)10.3390/bioengineering12111195
N/A
0DataRank · unranked
0 citations

Christina Xing, Shiwei Zhou, Yongyi Yang, Michael A. King, Mingwu Jin +1 more

A Feasibility Study on Deep Learning Denoising for Cross-Scanner Cardiac-Gated SPECT Images

(2025)10.1109/nss/mic/rtsd57106.2025.11287952
N/A
0DataRank · unranked
0 citations

Yongyi Yang, Jovan G. Brankov, Janusz Kikut, Michael A. King, Xiang Zhang

Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.2979940
N/A
0DataRank · unranked
95 citations

Yongyi Yang, P. Hendrik Pretorius, Karen L. Johnson, Michael A. King, Miles N. Wernick +1 more

Image Quality Assessment of Reduced-Dose Pediatric Tc-DMSA Renal SPECT Imageswith Clinical Readers

(2025)10.1109/nss/mic/rtsd57106.2025.11286866
N/A
0DataRank · unranked
0 citations

Yongyi Yang, Nipun Kwatra, S. Ted Treves, Reza Vali, Frederic H. Fahey +2 more

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