Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Bednarski, Bryan
22  Ergebnisse:
Personensuche X
?
1

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/..
 
?
2

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/..
 
?
3

AI-Defined Cardiac Anatomy Improves Risk Stratification of ..:

Miller, Robert J.H. ; Shanbhag, Aakash ; Killekar, Aditya...
JACC: Cardiovascular Imaging.  , 2024
Link: https://doi.org/10.1016/..
 
?
4

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/..
 
?
5

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/..
 
?
6

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/..
 
?
7

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/..
 
?
8

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/..
 
?
9

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/..
 
?
10

On collaborative reinforcement learning to optimize the red..:

Bednarski, Bryan
https://zenodo.org/communities/dryad.  , 2021
Link: https://zenodo.org/recor..
 
?
11

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...
 
?
12

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...
 
?
13

Temporal convolutional networks and data rebalancing for cl..:

Bednarski, Bryan P ; Singh, Akash Deep ; Zhang, Wenhao...
qt4xr717mk.  , 2022
Link: https://escholarship.org..
 
?
14

Donor-Derived Memory-like NK Cells for the Treatment of Chi..:

Pfeiffer, Thomas ; Zimmerman, Clare ; Berrien-Elliott, Melissa M...
Transplantation and Cellular Therapy.  30 (2024)  2 - p. S12 , 2024
Link: https://doi.org/10.1016/..
 
?
15

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/..
 
1-15