Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography.

Qureshi SA, Rehman AU, Mir AA, Rafique M, Muhammad W

Open source

DOI
10.3389/fphys.2021.737233
Published
2021
Container
Frontiers in physiology
Publisher
Not recorded
Open access
yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.3389/fphys.2021.737233,
  title = {Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography.},
  author = {Qureshi SA and Rehman AU and Mir AA and Rafique M and Muhammad W},
  year = {2021},
  journal = {Frontiers in physiology},
  doi = {10.3389/fphys.2021.737233},
  url = {https://doi.org/10.3389/fphys.2021.737233}
}

RIS

TY  - JOUR
TI  - Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography.
AU  - Qureshi SA
AU  - Rehman AU
AU  - Mir AA
AU  - Rafique M
AU  - Muhammad W
PY  - 2021
JO  - Frontiers in physiology
DO  - 10.3389/fphys.2021.737233
UR  - https://doi.org/10.3389/fphys.2021.737233
ER  - 

APA

SA, Q., AU, R., AA, M., M, R., & W, M. (2021). Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography.. Frontiers in physiology. https://doi.org/10.3389/fphys.2021.737233

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