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Van Kriekinge, Serge D.
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1

AI-derived epicardial fat measurements improve cardiovascul..:

Miller, Robert J. H. ; Shanbhag, Aakash ; Killekar, Aditya...
npj Digital Medicine.  7 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Downward myocardial creep during stress PET imaging is inve..:

Kuronuma, Keiichiro ; Miller, Robert J.H. ; Wei, Chih-Chun...
European Journal of Nuclear Medicine and Molecular Imaging.  51 (2024)  6 - p. 1622-1631 , 2024
Link: https://doi.org/10.1007/..
 
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3

Predicting mortality from AI cardiac volumes mass and coron..:

Miller, Robert J. H. ; Killekar, Aditya ; Shanbhag, Aakash...
Nature Communications.  15 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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4

Automated vessel-specific coronary artery calcification qua..:

Williams, Michelle C ; Shanbhag, Aakash D ; Zhou, Jianhang...
European Heart Journal - Cardiovascular Imaging.  25 (2024)  7 - p. 976-985 , 2024
Link: https://doi.org/10.1093/..
 
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5

Usefulness of phase analysis on ECG gated single photon emi..:

Kuronuma, Keiichiro ; Matsumoto, Naoya ; Van Kriekinge, Serge D...
Journal of Cardiology.  82 (2023)  2 - p. 87-92 , 2023
Link: https://doi.org/10.1016/..
 
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6

Incremental prognostic value of stress phase entropy over s..:

Kuronuma, Keiichiro ; Miller, Robert J. H. ; Van Kriekinge, Serge D....
European Journal of Nuclear Medicine and Molecular Imaging.  , 2023
Link: https://doi.org/10.1007/..
 
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7

Handling missing values in machine learning to predict pati..:

Rios, Richard ; Miller, Robert J.H. ; Manral, Nipun...
Computers in Biology and Medicine.  145 (2022)  - p. 105449 , 2022
Link: https://doi.org/10.1016/..
 
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8

Reproducibility of quantitative coronary calcium scoring fr..:

Pieszko, Konrad ; Shanbhag, Aakash D. ; Lemley, Mark...
European Journal of Nuclear Medicine and Molecular Imaging.  49 (2022)  12 - p. 4122-4132 , 2022
Link: https://doi.org/10.1007/..
 
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9

Improved myocardial blood flow estimation with residual act..:

Otaki, Yuka ; Van Kriekinge, Serge D. ; Wei, Chih-Chun...
European Journal of Nuclear Medicine and Molecular Imaging.  49 (2021)  6 - p. 1881-1893 , 2021
Link: https://doi.org/10.1007/..
 
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10

Determining a minimum set of variables for machine learning..:

Rios, Richard ; Miller, Robert J H ; Hu, Lien Hsin...
Cardiovascular Research.  118 (2021)  9 - p. 2152-2164 , 2021
Link: https://doi.org/10.1093/..
 
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11

Measuring mechanical cardiac dyssynchrony in the 3-D era:

Germano, Guido ; Van Kriekinge, Serge D.
Journal of Nuclear Cardiology.  24 (2017)  1 - p. 158-161 , 2017
Link: https://doi.org/10.1007/..
 
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12

Assessment of RV function using gated blood pool SPECT:

Van Kriekinge, Serge D. ; Berman, Daniel S. ; Germano, Guido
Journal of Nuclear Cardiology.  22 (2015)  3 - p. 493-495 , 2015
Link: https://doi.org/10.1007/..
 
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13

Influence of SPECT attenuation correction on the quantifica..:

Lehner, Sebastian ; Sussebach, Christian ; Todica, Andrei...
Journal of Nuclear Cardiology.  21 (2014)  3 - p. 578-587 , 2014
Link: https://doi.org/10.1007/..
 
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14

The amount of dysfunctional but viable myocardium predicts ..:

Uebleis, Christopher ; Hellweger, Stefan ; Laubender, Rüdiger Paul...
The International Journal of Cardiovascular Imaging.  29 (2013)  7 - p. 1645-1653 , 2013
Link: https://doi.org/10.1007/..
 
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15

Imaging cardiac dyssynchrony:

Van Kriekinge, Serge D. ; Germano, Guido
Clinical and Translational Imaging.  1 (2013)  5 - p. 353-361 , 2013
Link: https://doi.org/10.1007/..
 
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