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Bednarski, Bryan P
106
results:
Search for persons
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Online (106)
Mediatypes
E-Books (2)
Articles (Online) (97)
Bookchapter (Online) (1)
OpenAccess-fulltext (6)
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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
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/..
?
3
Temporal convolutional networks and data rebalancing for cl..:
Bednarski, Bryan P.
;
Singh, Akash Deep
;
Zhang, Wenhao
...
Scientific Reports. 12 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1038/..
?
4
On collaborative reinforcement learning to optimize the red..:
Bednarski, Bryan P
;
Singh, Akash Deep
;
Jones, William M
Journal of the American Medical Informatics Association. 28 (2020) 4 - p. 874-878 , 2020
Link:
https://doi.org/10.1093/..
?
5
Clinical phenotypes among patients with normal cardiac perf..:
Miller, Robert J.H
;
Bednarski, Bryan P
;
Pieszko, Konrad
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10794922/. , 2024
Link:
http://www.ncbi.nlm.nih...
?
6
Unsupervised learning to characterize patients with known c..:
Williams, Michelle C
;
Bednarski, Bryan P
;
Pieszko, Konrad
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317876/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
7
Temporal convolutional networks and data rebalancing for cl..:
Bednarski, Bryan P
;
Singh, Akash Deep
;
Zhang, Wenhao
...
qt4xr717mk. , 2022
Link:
https://escholarship.org..
?
8
Clinical phenotypes among patients with normal cardiac perf..:
Robert J.H. Miller
;
Bryan P. Bednarski
;
Konrad Pieszko
...
http://www.sciencedirect.com/science/article/pii/S2352396423004966. , 2024
Link:
https://doi.org/10.1016/..
?
9
Temporal convolutional networks and data rebalancing for cl..:
Bryan P. Bednarski
;
Akash Deep Singh
;
Wenhao Zhang
...
https://doi.org/10.1038/s41598-022-25472-z. , 2022
Link:
https://doi.org/10.1038/..
?
10
Donor memory-like NK cells persist and induce remissions in..:
Bednarski, Jeffrey J
;
Zimmerman, Clare
;
Berrien-Elliott, Melissa M
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931511/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
11
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/..
?
12
AI-Defined Cardiac Anatomy Improves Risk Stratification of ..:
Miller, Robert J.H.
;
Shanbhag, Aakash
;
Killekar, Aditya
...
JACC: Cardiovascular Imaging. 17 (2024) 7 - p. 780-791 , 2024
Link:
https://doi.org/10.1016/..
?
13
Artificial Intelligence Model Predicts Sudden Cardiac Arres..:
Holmstrom, Lauri
;
Bednarski, Bryan
;
Chugh, Harpriya
...
Circulation: Arrhythmia and Electrophysiology. 17 (2024) 2 - p. , 2024
Link:
https://doi.org/10.1161/..
?
14
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/..
?
15
CT attenuation correction improves quantitative risk predic..:
Feher, Attila
;
Pieszko, Konrad
;
Shanbhag, Aakash
...
European Journal of Nuclear Medicine and Molecular Imaging. 51 (2023) 3 - p. 695-706 , 2023
Link:
https://doi.org/10.1007/..
1-15