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Author: john lu
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1. An Empirical Bayes Approach to Robust Variance Estimation: A Statistical Proposal for Quantitative Medical Image Testing
Published: 10/23/2012
Authors: John Lu, Charles D. Fenimore
Abstract: The current standard for measuring tumor response using X-ray, CT and MRI is based on the response evaluation crite- rion in solid tumors (RECIST) which, while providing simplifications over previous (WHO) 2-D methods, stipulate four response categor ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=912176

2. Big Data Issues in Quantitative Imaging
Series: OTHER
Published: 8/29/2012
Authors: Mary C Brady, Alden A Dima, Charles D. Fenimore, James J Filliben, John Lu, Adele P Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D Sriram
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911670

3. Comparison of Confidence Intervals for Large Operational Biometric Data by Parametric and Non-parametric Methods
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7740
Published: 11/23/2010
Authors: Su Lan Cheng, Ross J Micheals, John Lu
Abstract: Receiver operating characteristic (ROC) or Detection Error Trade-off (DET) curves are used to measure the performance of a biometric verification or identification system. To go beyond the ROC/DET and to enhance evaluation of a verification system w ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906844

4. Development of a Seebeck Coefficient Standard Reference Material
Published: 8/7/2009
Authors: Nathan Lowhorn, Winnie K Wong-Ng, John Lu, Evan L. Thomas, Makoto Otani, Martin L Green, Neil Dilley, Jeffrey Sharp, Thanh N. Tran
Abstract: We have successfully developed a Seebeck coefficient Standard Reference Material (SRM ), Bi2Te3, that is crucial for interlaboratory data comparison and for instrument calibration. Certification measurements were performed using two different techniq ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=854458

5. Development of a Seebeck Coefficient Standard Reference Material (SRM)™
Published: 8/1/2011
Authors: Nathan Lowhorn, Winnie K Wong-Ng, John Lu, Joshua Brooks Martin, Martin L Green, John E Bonevich, Evan L. Thomas, Neil Dilley, Jeff Sharp
Abstract: We have successfully developed a Seebeck coefficient Standard Reference Material (SRM™), Bi2Te3, that is essential for interlaboratory data comparison and for instrument calibration. Certification measurements were performed using a differential stea ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907792

6. Form-Profiling of Optics Using the Geometry Measuring Machine and NIST M-48 CMM
Published: 1/1/2006
Authors: Nadia Machkour-Deshayes, John Richard Stoup, John Lu, Johannes A Soons, Ulf Griesmann, Robert S. Polvani
Abstract: We are developing an instrument, the Geometry Measuring Machine (GEMM), to measure the profile errors of aspheric and free form optical surfaces, which require measurement uncertainties near 1nm. Using GEMM, an optical profile is reconstructed from ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=822545

7. Radiochemical Neutron Activation Analysis for Certification of Ion-Implanted Phosphorus in Silicon
Published: 7/11/2003
Authors: Rick L Paul, David S Simons, William F Guthrie, John Lu
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903386

8. Round-Robin Studies of Two Potential Seebeck Coefficient Standard Reference Materials
Published: 1/14/2009
Authors: Nathan Lowhorn, Winnie K Wong-Ng, Weiping Zhang, John Lu, Makoto Otani, Evan L. Thomas, Martin L Green, Thanh Tran
Abstract: The scientific activities of NIST include the development and distribution of standard reference materials (SRM) for instrument calibration and inter-laboratory data comparison. Full characterization of a thermoelectric material requires measurement ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=851059

9. Some Approaches to the Statistical Analysis of the Overall Molecular Mass Distribution of Synthetic Polymers
Published: Date unknown
Authors: Kathleen M. Flynn, John Lu, Stephanie J Wetzel, Jennifer Huckette
Abstract: Two approaches to the statistical analysis of molecular mass distribution data derived from mass spectrometry are presented.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=852832

10. Statistical Analysis of Reader Measurement Variability in Nodule Sizing with CT Phantom Imaging Data
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7879
Published: 11/23/2012
Authors: John Lu, Charles D. Fenimore, Nicholas Petrick, Rongping Zeng, Marios A Gavrielides, David Clunie, Kristin Borradaile, Robert Ford, Hyun J. Grace Kim, Michael McNitt-Gray, Binsheng Zhao, Andrew Buckler
Abstract: RSNA has conducted a phantom quantitative imaging biomarker (QIBA) study to assess reader measurement variability of both spherical and non-spherical nodules using CT imaging. Statistical analysis of intra-reader and inter-reader variability of v ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911246