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    دورية أكاديمية

    المساهمون: Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan 48109, Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa 52242, Departments of Radiology and Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, Department of Medicine, University of California, Los Angeles, California 90095, Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242, Department of Radiology, University of Iowa, Iowa City, Iowa 52242, Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, New York 10032

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    العلاقة: Guo, Junfeng; Wang, Chao; Chan, Kung‐sik; Jin, Dakai; Saha, Punam K.; Sieren, Jered P.; Barr, R. G.; Han, MeiLan K.; Kazerooni, Ella; Cooper, Christopher B.; Couper, David; Newell, John D.; Hoffman, Eric A. (2016). "A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS)." Medical Physics 43(5): 2598-2610.; https://hdl.handle.net/2027.42/134827Test; Medical Physics; D. Jin, J. Guo, T. M. Dougherty, K. S. Iyer, E. A. Hoffman, and P. K. Saha, â A semiâ automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging,â Proc. SPIE 9788, 978816 ( 2016 ). 10.1117/12.2216558; D. Jin, K. Iyer, E. Hoffman, and P. Saha, â Automated assessment of pulmonary arterial morphology in multiâ row detector CT imaging using correspondence with anatomic airway branches,â in Advances in Visual Computing, edited by G. Bebis et al. ( Springer International, Cham, Switzerland, 2014 ), Vol. 8887, pp. 521 â 530.; S. N. Wood, Generalized Additive Models: An Introduction with r ( Chapman & Hall/CRC, Boca Raton, FL, 2006 ).; J. C. Pinheiro and D. M. Bates, Mixedâ Effects Models in S and Sâ PLUS ( Springer, New York, NY, 2000 ).; D. Couper, L. M. LaVange, M. Han, R. G. Barr, E. Bleecker, E. A. Hoffman, R. Kanner, E. Kleerup, F. J. Martinez, P. G. Woodruff, and S. Rennard, â Design of the subpopulations and intermediate outcomes in COPD study (SPIROMICS),â Thorax 69, 491 â 494 ( 2014 ). 10.1136/thoraxjnlâ 2013â 203897; J. P. Sieren, J. D. Newell, P. F. Judy, D. A. Lynch, K. S. Chan, J. Guo, and E. A. Hoffman, â Reference standard and statistical model for intersite and temporal comparisons of CT attenuation in a multicenter quantitative lung study,â Med. Phys. 39, 5757 â 5767 ( 2012 ). 10.1118/1.4747342; A. Rosenfeld and J. L. Pfaltz, â Sequential operations in digital picture processing,â J. ACM 13, 471 â 494 ( 1966 ). 10.1145/321356.321357; A. W. Van der Vaart, Asymptotic Statistics ( Cambridge University Press, Cambridge, England, 2000 ).; D. Gruber, â The mathematics of the 3D rotation matrix,â in Xtreme Game Developers Conference, Santa Clara, CA ( 2000 ).; M. E. Pique, â Rotation tools,â in Graphics Gems, edited by A. S. Glassner ( Academic Inc., Cambridge, MA, 1990 ), pp. 465 â 469.; S. Richard, D. B. Husarik, G. Yadava, S. N. Murphy, and E. Samei, â Towards taskâ based assessment of CT performance: System and object MTF across different reconstruction algorithms,â Med. Phys. 39, 4115 â 4122 ( 2012 ). 10.1118/1.4725171; S. N. Friedman, G. S. Fung, J. H. Siewerdsen, and B. M. Tsui, â A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noiseâ power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom,â Med. Phys. 40, 051907 (9pp.) ( 2013 ). 10.1118/1.4800795; N. D. Dâ Souza, J. M. Reinhardt, and E. A. Hoffman, â ASAP: Interactive quantification of 2D airway geometry,â Proc. SPIE 2709, 180 â 196 ( 1996 ). 10.1117/12.237860

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