P. Hendrik Pretorius

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 9 papers. Top paper: “Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks”.

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

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

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

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

0DataRank · unranked

5 citations

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

Weight-based determination of administered activity in 99mTc-DMSA renal SPECT in infants: are minimum administered activities necessary?

Pediatric Radiology(2025)10.1007/s00247-024-06155-5

N/A

0DataRank · unranked

1 citations

P. Hendrik Pretorius, S. Ted Treves, Reza Vali, Valentina Ferrer Valencia, Weibin Fu +5 more