Suchergebnisse - "Li, Zehang"

PubPharm (63)

1

Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy

enthalten in: bioRxiv.org | 2024

von Wu, Z. | Li, Z. | Chen, I. | +1

2

Tree-informed Bayesian multi-source domain adaptation : cross-population probabilistic cause-of-death assignment using verbal autopsy

enthalten in: Biostatistics (Oxford, England) | 2024

von Wu, Z. | Li, Z. | Chen, I. | +1

3

Agreement between cause of death assignment by computer-coded verbal autopsy methods and physician coding of verbal autopsy interviews in South Africa

enthalten in: Global health action | 2023

von Groenewald, P. | Thomas, J. | Clark, S. | +5

4

GRIK5 stimulates colon cancer growth and metastasis through cAMP/PKA/CADM3 signaling

enthalten in: Cell biology international | 2023

von Xie, Z. | Ke, Y. | Li, Z. | +7

5

In Situ Transition Layer Design Based on Ti Additive Enabling High-Performance Liquid Metal Batteries

enthalten in: ACS applied materials & interfaces | 2023

von Yan, S. | Li, H. | Li, Z. | +7

6

The openVA Toolkit for Verbal Autopsies

enthalten in: The R journal | 2022

von Li, Z. | Thomas, J. | Choi, E. | +2

7

Comparison of coronary CT angiography-based and invasive coronary angiography-based quantitative flow ratio for functional assessment of coronary stenosis : A multicenter retrospective analysis

enthalten in: Journal of cardiovascular computed tomography | 2022

von Li, Z. | Li, G. | Chen, L. | +9

8

Feasibility of Quantitative Flow Ratio Virtual Stenting for Guidance of Serial Coronary Lesions Intervention

enthalten in: Journal of the American Heart Association | 2022

von Guan, S. | Gan, Q. | Han, W. | +11

CommentIn: J Am Heart Assoc. 2022 Oct 4;11(19):e027165. - PMID 36129036

9

Diagnostic accuracy of CCTA-derived versus angiography-derived quantitative flow ratio (CAREER) study : a prospective study protocol

enthalten in: BMJ open | 2022

von Weng, T. | Gan, Q. | Li, Z. | +11

10

One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut

enthalten in: bioRxiv.org | 2022

von Morozova, O. | Li, Z. | Crawford, F.

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