Michael King to Perfusion
This is a "connection" page, showing publications Michael King has written about Perfusion.
Connection Strength
1.386
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Feng B, Pretorius PH, Farncombe TH, Dahlberg ST, Narayanan MV, Wernick MN, Celler AM, Leppo JA, King MA. Simultaneous assessment of cardiac perfusion and function using 5-dimensional imaging with Tc-99m teboroxime. J Nucl Cardiol. 2006 May-Jun; 13(3):354-61.
Score: 0.259
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Chen Y, Pretorius PH, Lindsay C, Yang Y, King MA. Respiratory signal estimation for cardiac perfusion SPECT using deep learning. Med Phys. 2024 Feb; 51(2):1217-1231.
Score: 0.214
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Pretorius PH, King MA. Data-driven respiratory signal estimation from temporally finely sampled projection data in conventional cardiac perfusion SPECT imaging. Med Phys. 2022 Jan; 49(1):282-294.
Score: 0.191
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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: 0.186
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Zeraatkar N, Auer B, Kalluri KS, May M, Momsen NC, Richards RG, Furenlid LR, Kuo PH, King MA. Improvement in sampling and modulation of multiplexing with temporal shuttering of adaptable apertures in a brain-dedicated multi-pinhole SPECT system. Phys Med Biol. 2021 03 02; 66(6):065004.
Score: 0.181
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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: 0.154
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Song C, Yang Y, Ramon AJ, Wernick MN, Pretorius PH, Johnson KL, Slomka PJ, King MA. Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses. J Nucl Cardiol. 2019 Oct; 26(5):1526-1538.
Score: 0.151
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Sun J, Zhang Q, Du Y, Zhang D, Pretorius PH, King MA, Mok GSP. Dual gating myocardial perfusion SPECT denoising using a conditional generative adversarial network. Med Phys. 2022 Aug; 49(8):5093-5106.
Score: 0.049