• Decrease font size
  • Return font size to normal
  • Increase font size
U.S. Department of Health and Human Services

About FDA

  • Print
  • Share
  • E-mail

Publications and Presentations for Laboratory of Image Analysis

  1. Agrawal A, Gavrielides M, Weininger S, Chakrabarti K, Pfefer J.  Regulatory perspectives and research activities at the FDA on the use of phantoms with in vivo diagnostic devices. In Proceedings of  SPIE 6870 Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurements of Tissue, Robert J. Nordstrom, ed., 687005.  
  2. Brown DG. Bob’s first decade: At the beginning. SPIE Medical Imaging
  3. Buckler AJ, Mozley PD, Schwartz L, Petrick N, McNitt-Gray M, Fenimore C, O’Donnell K, Hayes W, Kim HJ, Clarke L, Sullivan D. Volumetric CT in lung cancer: An example for the qualification of imaging as a biomarker. Academic Radiology, 17(01):107-115, 2010. DIAM 09-34.
  4. Chen W, Gallas BD. Classifier variability: Accounting for training and testing. Joint Statistical Meeting proceedings, 2009.
  5. Chen W, Wagner RF, Yousef W, Gallas B. Comparison of classifier performance estimators: a simulation study. SPIE Medical Imaging Conference proceedings, 2009.
  6. Gallas B, Lorenzo Pesce. Comparison of ROC methods for partially paired data. SPIE Medical Imaging Conference proceedings, 2009.
  7. Gallas BD, Bandos A, Samuelson F, Wagner RF. A Framework for random-effects ROC analsysis: Biases with the Bootstrap and other variance estimators”, Commun Stat A-Theory 38(15), 2586-2603 (2009).
  8. Gavrielides MA, Kinnard LM, Myers KJ, Petrick N. Volumetric studies for the assessment of lung nodules with thoracic CT imaging. Radiology, 251(1):26-37, 2009.
  9. Gavrielides MA, Zeng R, Kinnard LM, Myers KJ, Petrick N. A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. Proceedings of SPIE Medical Imaging, 7260:726009-1-726009-11, 2009.
  10. Gavrielides MA, Zeng R, Kinnard LM, Myers KJ, Petrick N. Estimation of lung nodule size in a volumetric CT phantom study, NIH National Cancer Institute, Bethesda, MD, May 20, 2009.
  11. He X, Gallas B, Frey E. Three-class ROC Analysis: The general decision theoretic solution. IEEE Medical Imaging Conference proceedings, 2009.
  12. Kelloff G, Choyke P, Coffey DS. The Prostate Cancer Imaging Working Group (includes Petrick N). Challenges in clinical prostate cancer management: Role of imaging. American Journal of Roentgenology, 192(6):1455-1470, 2009.
  13. Kyprianou IS, Gallas BD, Badano A, Park S, Liu H, Myers KJ. Noise and signal detection in digital X-ray detectors using the spatial definition of SNR.  SPIE 2009 Medical Imaging 7258-44.
  14. Li J, Huang A. Yao J, Liu J, Van Uitert RL, Petrick N, Summers RM. Optimizing computer-aided colonic polyp detection for CT colonography by evolving the Pareto Front,” Medical Physics, 36(1):201-212, 2009.
  15. Liu H, Kyprianou IS, Badano A, Myers KJ, Jennings RJ, Park S, Kaczmarek RV, Chakrabarti K. SKE/BKE Task based ideal observer SNR methodology for Mammography. SPIE Medical Imaging 2009: Physics of Medical Imaging, 7258-44, 2009.
  16. Masmoudi H, Hewitt SM, Petrick N, Myers KJ, Gavrielides MA. Automated quantitative assessment of HER-2/neu immunohistochemical expression in breast cancer,” IEEE Transactions on Medical Imaging, 28(6):916-925, 2009.
  17. McCright B, Dang JM, Hursh DA, Kaplan DS, Ballica R, Benton KA, Plant AL. Synopsis of the FDA-NIST Co-Sponsored ‘In Vitro Analysis of Cell/Scaffold Products’ Workshop.  Tissue Engineering Part A, 15(3):455-460, 2009.
  18. McNitt-Gray MF, Bidaut LM, Armato III SG, Meyer CR, Gavrielides MA, Fenimore CP, McLennan,G, Petrick N, Zhao B, Reeves AP, Beichel R, Kim H-J (Grace), Kinnard L. CT assessment of response to therapy: Tumor volume change measurement, truth data and error. Translational Oncology, 2(4):216-222, 2009.
  19. Meyer CR, SG Armato III, C Fenimore, G McLennan, L Bidaut, D Barboriak,  Gavrielides MA, McNitt-Gray MF, Jackson E, Kinahan P, Petrick N, Zhao B, Croft B, Clarke LP. Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data & error sources. Translational Oncology, 2(4):198-210, 2009.  
  20. Paquerault S, Samuelson FW, Myers KJ, Smith RC. Non-localization and localization ROC analyses using clinically-based scoring. Proceedings of the SPIE 7263-29, 2009.
  21. Paquerault S, Samuelson FW, Petrick N, Myers, KJ, Smith RC. Investigation of reading mode and relative sensitivity as factors that influence reader performance when using computer-aided detection software. Academic Radiology, 16(09):1095-1107, 2009.
  22. Park S, Badano A, Gallas BD, Myers KJ. Incorporating human contrast sensitivity in model observers for detection tasks. IEEE Transactions on Medical Imaging, 28(3):339–347, March 2009.
  23. Park S, Badano AG, Jennings RJ, Kyprianou I, Liu HE,  Myers KJ. A task-based evaluation method for x-ray breast imaging systems using variable-background phantoms. Proceedings of the SPIE 7258, 72581L-1, 2009.
  24. Park S, Clarkson E. Efficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgrounds.  Journal of the Optical Society of America A, 26: B59-B71, 2009.  
  25. Park S, Liu H, Jennings R, Leimbach R, Kyprianou I, Badano A, Myers K. A task-based evaluation method for x-ray breast imaging systems using variable-background phantoms. Proceedings of SPIE 7258, 72581L, 2009.  
  26. Park S, Witten JM, Myers KJ. Singular vectors of a linear imaging system as efficient channels for the Bayesian ideal observer. IEEE Transactions on Medical Imaging, 28 (5), p. 657-668, 2009.
  27. Petrick N, Kinnard LM, Gavrielides MA, Zeng R, Myers KJ. Anthropomorphic phantom experiment for the assessment of nodule volume error: Update on data collection, initial results and the QIBA 1A Reader Study.  Lung Cancer Workshop VI, Bethesda Maryland, May 4-5, 2009.
  28. Petrick N. How does the FDA approach to approving equipment for breast imaging protect health and safety? Do we need a technology assessment institute? RSNA Special Focus Session, December 2009.
  29. Summers RM, Frentz SM, Yao J, Liu J, Brown L, Louie A, Barlow DS, Jensen DW, Pickhardt PJ, Petrick N. Conspicuity of colorectal polyps at CT Colonography: Visual assessment, CAD performance, and the important role of polyp height. Academic Radiology, 16(1):4-14, 2009.
  30. Symposium, Orlando, FL, February 7-12, 2009.
  31. Wang S, Yao J, Liu J, Petrick N, Summers RM. Centerline registration of prone and supine CT colonography scans based on correlation optimized warping and anatomical landmarks. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09; 955-958, 2009.  
  32. Wang S, Yao J, Liu J, Petrick N, Summers RM. Registration of prone and supine CT colonography scans based on correlation optimized warping and canonical correlation analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. pp. 81-84, 2009.
  33. Wang S, Yao J, Summers RM, Petrick N. Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming.  Proceedings of SPIE Medical Imaging, 7260:7260R-1-7260R-8, 2009.
  34. Witten JM, Park S, Thompson L, Myers KJ. Using partial least squares to compute efficient channels for the Bayesian ideal observer. SPIE 2009 Medical Imaging, 2009.  
  35. Young S, Park S, Anderson SK, Badano A, Myers KJ, Bakic P. Estimating breast tomosynthesis performance in detection tasks with variable-background phantoms.  Proceedings of SPIE 7258, 72580O, 2009.