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Shanbhag, Aakash D.
31  Ergebnisse:
Personensuche X
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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

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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3

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/..
 
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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.  , 2024
Link: https://doi.org/10.1093/..
 
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5

Comparison of the prognostic value between quantification a..:

Feher, Attila ; Pieszko, Konrad ; Shanbhag, Aakash...
The International Journal of Cardiovascular Imaging.  40 (2023)  1 - p. 185-193 , 2023
Link: https://doi.org/10.1007/..
 
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6

Integration of coronary artery calcium scoring from CT atte..:

Feher, Attila ; Pieszko, Konrad ; Miller, Robert...
Journal of Nuclear Cardiology.  30 (2023)  2 - p. 590-603 , 2023
Link: https://doi.org/10.1007/..
 
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7

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/..
 
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8

Correction to: Integration of coronary artery calcium scori..:

Feher, Attila ; Pieszko, Konrad ; Miller, Robert...
Journal of Nuclear Cardiology.  30 (2023)  2 - p. 860-863 , 2023
Link: https://doi.org/10.1007/..
 
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9

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/..
 
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10

Comparative explainable Machine learning to evaluate Bank m..:

, In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME),
Vashi, Chinmay ; Shanbhag, Aakash - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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11

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/..
 
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12

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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13

Exploring ML for Predictive Maintenance Using Imbalance Cor..:

, In: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET),
Patel, Krish ; Shanbhag, Aakash - p. 1-10 , 2022
Link: https://doi.org/10.1109/..
 
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14

Deep learning-enabled coronary CT angiography for plaque an..:

Lin, Andrew ; Manral, Nipun ; McElhinney, Priscilla...
The Lancet Digital Health.  4 (2022)  4 - p. e256-e265 , 2022
Link: https://doi.org/10.1016/..
 
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15

The Impact of Missing Data Handling Techniques on the Accur..:

, In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME),
Bardoliwala, Daksh Nikunj ; Desai, Mehul V. ; Shanbhag, Aakash Dhananjay - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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