E-LIB Suche - Ergebnisse für: Fish, Mathews B.

1

Clinical phenotypes among patients with normal cardiac perf..:

Miller, Robert J.H. ; Bednarski, Bryan P. ; Pieszko, Konrad...
eBioMedicine. 99 (2024) - p. 104930 , 2024

Link: https://doi.org/10.1016/..

2

Time and event-specific deep learning for personalized risk..:

Pieszko, Konrad ; Shanbhag, Aakash D. ; Singh, Ananya...
npj Digital Medicine. 6 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

3

Unsupervised learning to characterize patients with known c..:

Williams, Michelle C. ; Bednarski, Bryan P. ; Pieszko, Konrad...
European Journal of Nuclear Medicine and Molecular Imaging. 50 (2023) 9 - p. 2656-2668 , 2023

Link: https://doi.org/10.1007/..

4

Automated quantitative analysis of CZT SPECT stratifies car..:

Klein, Eyal ; Miller, Robert J.H. ; Sharir, Tali...
Journal of Nuclear Cardiology. 29 (2022) 2 - p. 727-736 , 2022

Link: https://doi.org/10.1007/..

5

Diagnostic safety of a machine learning-based automatic pat..:

Eisenberg, Evann ; Miller, Robert J.H. ; Hu, Lien-Hsin...
Journal of Nuclear Cardiology. 29 (2022) 5 - p. 2295-2307 , 2022

Link: https://doi.org/10.1007/..

6

Prognostic value of early left ventricular ejection fractio..:

Otaki, Yuka ; Fish, Mathews B. ; Miller, Robert J.H...
Journal of Nuclear Cardiology. 29 (2022) 3 - p. 1219-1230 , 2022

Link: https://doi.org/10.1007/..

7

Mitigating bias in deep learning for diagnosis of coronary ..:

Miller, Robert J. H. ; Singh, Ananya ; Otaki, Yuka...
European Journal of Nuclear Medicine and Molecular Imaging. 50 (2022) 2 - p. 387-397 , 2022

Link: https://doi.org/10.1007/..

8

Machine learning to predict abnormal myocardial perfusion f..:

Miller, Robert J.H. ; Hauser, M. Timothy ; Sharir, Tali...
Journal of Nuclear Cardiology. 29 (2022) 5 - p. 2393-2403 , 2022

Link: https://doi.org/10.1007/..

9

Comparison of diabetes to other prognostic predictors among..:

Han, Donghee ; Rozanski, Alan ; Gransar, Heidi...
Journal of Nuclear Cardiology. 29 (2022) 6 - p. 3003-3014 , 2022

Link: https://doi.org/10.1007/..

10

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/..

11

Prevalence and predictors of automatically quantified myoca..:

Han, Donghee ; Rozanski, Alan ; Miller, Robert J.H....
Journal of Nuclear Cardiology. 29 (2022) 6 - p. 3221-3232 , 2022

Link: https://doi.org/10.1007/..

12

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/..

13

Prognostically safe stress-only single-photon emission comp..:

Hu, Lien-Hsin ; Miller, Robert J H ; Sharir, Tali...
European Heart Journal - Cardiovascular Imaging. 22 (2020) 6 - p. 705-714 , 2020

Link: https://doi.org/10.1093/..

14

Rationale and design of the REgistry of Fast Myocardial Per..:

Slomka, Piotr J. ; Betancur, Julian ; Liang, Joanna X....
Journal of Nuclear Cardiology. 27 (2020) 3 - p. 1010-1021 , 2020

Link: https://doi.org/10.1007/..

15

Upper reference limits of transient ischemic dilation ratio..:

Hu, Lien-Hsin ; Sharir, Tali ; Miller, Robert J.H....
Journal of Nuclear Cardiology. 27 (2020) 4 - p. 1180-1189 , 2020

Link: https://doi.org/10.1007/..