Michael King to Myocardial Perfusion Imaging
This is a "connection" page, showing publications Michael King has written about Myocardial Perfusion Imaging.
Connection Strength
5.783
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Zhang X, Yang Y, Pretorius PH, Slomka PJ, King MA. Cardiac motion correction with a deep learning network for perfusion defect assessment in single-photon emission computed tomography myocardial perfusion imaging. J Nucl Cardiol. 2025 Jan; 43:102071.
Score: 0.883
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Pretorius PH, Liu J, Kalluri KS, Jiang Y, Leppo JA, Dahlberg ST, Kikut J, Parker MW, Keating FK, Licho R, Auer B, Lindsay C, Konik A, Yang Y, Wernick MN, King MA. 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. J Nucl Cardiol. 2023 12; 30(6):2427-2437.
Score: 0.799
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Liu J, Yang Y, Wernick MN, Pretorius PH, Slomka PJ, King MA. Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising. J Nucl Cardiol. 2022 Oct; 29(5):2340-2349.
Score: 0.703
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Liu J, Yang Y, Wernick MN, Pretorius PH, King MA. Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging. Med Phys. 2021 Jan; 48(1):156-168.
Score: 0.672
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Juan Ramon A, Yang Y, Wernick MN, Pretorius PH, Johnson KL, Slomka PJ, King MA. Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT. J Nucl Cardiol. 2020 04; 27(2):562-572.
Score: 0.583
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Pretorius PH, Johnson KL, Dahlberg ST, King MA. Investigation of the physical effects of respiratory motion compensation in a large population of patients undergoing Tc-99m cardiac perfusion SPECT/CT stress imaging. J Nucl Cardiol. 2020 02; 27(1):80-95.
Score: 0.524
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Dasari PK, K?nik A, Pretorius PH, Johnson KL, Segars WP, Shazeeb MS, King MA. Correction of hysteretic respiratory motion in SPECT myocardial perfusion imaging: Simulation and patient studies. Med Phys. 2017 Feb; 44(2):437-450.
Score: 0.516
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King MA, Dey J, Johnson K, Dasari P, Mukherjee JM, McNamara JE, Konik A, Lindsay C, Zheng S, Coughlin D. Use of MRI to assess the prediction of heart motion with gross body motion in myocardial perfusion imaging by stereotracking of markers on the body surface. Med Phys. 2013 Nov; 40(11):112504.
Score: 0.412
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Ramon AJ, Yang Y, Pretorius PH, Johnson KL, King MA, Wernick MN. Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks. IEEE Trans Med Imaging. 2020 09; 39(9):2893-2903.
Score: 0.160
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Pretorius PH, Ramon AJ, King MA, Konik A, Dahlberg ST, Parker MW, Botkin NF, Johnson KL, Yang Y, Wernick MN. Retrospective fractional dose reduction in Tc-99m cardiac perfusion SPECT/CT patients: A human and model observer study. J Nucl Cardiol. 2021 04; 28(2):624-637.
Score: 0.151
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Juan Ramon A, Yang Y, Pretorius PH, Johnson KL, King MA, Wernick MN. Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging. IEEE Trans Med Imaging. 2019 06; 38(6):1466-1476.
Score: 0.147
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Juan Ramon A, Yang Y, Pretorius PH, Slomka PJ, Johnson KL, King MA, Wernick MN. Investigation of dose reduction in cardiac perfusion SPECT via optimization and choice of the image reconstruction strategy. J Nucl Cardiol. 2018 12; 25(6):2117-2128.
Score: 0.132
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Mukherjee JM, Hutton BF, Johnson KL, Pretorius PH, King MA. An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging. Phys Med Biol. 2013 Nov 07; 58(21):7625-46.
Score: 0.103