Computer Assisted Surgery
Volume 28, 2023 - Issue 1
Open access
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Research Article
Performance assessment of surgical tracking systems based on statistical process control and longitudinal QA
I. Butza Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
https://orcid.org/0000-0001-6429-5627
M. Fernandeza Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
, A. Uneria Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
https://orcid.org/0000-0003-3419-1805
N. Theodorea Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA;b Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, MD, USA;
https://orcid.org/0000-0001-5355-2683
W. S. Andersona Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA;b Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, MD, USA;
https://orcid.org/0000-0003-0958-050X
J. H. Siewerdsena Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA;b Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, MD, USA;;c Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USACorrespondence[email protected]
https://orcid.org/0000-0001-6644-1317
Article: 2275522
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Published online: 09 Nov 2023
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