Brandon D Gallas

Summary

Affiliation: Food and Drug Administration
Country: USA

Publications

  1. ncbi Lubberts effect in columnar phosphors
    Aldo Badano
    Laboratory for the Assessment of Medical Imaging Systems, Center for Devices and Radiological Health FDA and National Institute of Biomedical Imaging and Bioengineering NIH, Rockville, Maryland 20857, USA
    Med Phys 31:3122-31. 2004
  2. ncbi One-shot estimate of MRMC variance: AUC
    Brandon D Gallas
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging Systems, US FDA CDRH, Bldg 1, HFZ 140, 12720 Twinbrook Parkway Rm 158, Rockville MD 20852 1720, USA
    Acad Radiol 13:353-62. 2006
  3. ncbi Evaluating imaging and computer-aided detection and diagnosis devices at the FDA
    Brandon D Gallas
    Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993 0002, USA
    Acad Radiol 19:463-77. 2012
  4. ncbi Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
    Breast Cancer Res 12:R5. 2010
  5. ncbi Reader studies for validation of CAD systems
    Brandon D Gallas
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging Systems, FDA, Silver Spring, MD 20993 0002, United States
    Neural Netw 21:387-97. 2008
  6. ncbi Incorporating human contrast sensitivity in model observers for detection tasks
    Subok Park
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging System, Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, Food and Drug Administration, White Oak, MD 20993, USA
    IEEE Trans Med Imaging 28:339-47. 2009
  7. ncbi Detectability decreases with off-normal viewing in medical liquid crystal displays
    Aldo Badano
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging, Center for Devices and Radiological Health, Food and Drug Administration, Rockville, MD 20857, USA
    Acad Radiol 13:210-8. 2006
  8. ncbi Singular value description of a digital radiographic detector: theory and measurements
    Iacovos S Kyprianou
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging Systems, US Food and Drug Administration, New Hampshire Avenue, Silver Spring, Maryland 20993, USA
    Med Phys 35:4744-56. 2008
  9. ncbi Image browsing in slow medical liquid crystal displays
    Hongye Liang
    CDRH NIBIB Laboratory for the Assessment of Medical Imaging Systems, Division of Imaging and Applied Mathematics, U S Food and Drug Administration, 10903 New Hampshire Avenue, Building 62, Room 3113, Silver Spring, MD 20993, USA
    Acad Radiol 15:370-82. 2008
  10. ncbi Toward objective and quantitative evaluation of imaging systems using images of phantoms
    Robert M Gagne
    Center for Devices and Radiological Health, FDA, 12720 Twinbrook Parkway, Rockville, Maryland 20857, USA
    Med Phys 33:83-95. 2006

Collaborators

Detail Information

Publications13

  1. ncbi Lubberts effect in columnar phosphors
    Aldo Badano
    Laboratory for the Assessment of Medical Imaging Systems, Center for Devices and Radiological Health FDA and National Institute of Biomedical Imaging and Bioengineering NIH, Rockville, Maryland 20857, USA
    Med Phys 31:3122-31. 2004
    ..We find that the Lubberts fraction of a 85 microm granular screen model corresponding to a Gd2O2S:Tb screen is similar to the fraction for a 100 microm columnar CsI:Tl screen...
  2. ncbi One-shot estimate of MRMC variance: AUC
    Brandon D Gallas
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging Systems, US FDA CDRH, Bldg 1, HFZ 140, 12720 Twinbrook Parkway Rm 158, Rockville MD 20852 1720, USA
    Acad Radiol 13:353-62. 2006
    ..In this article, we present a nonparametric estimate for the variance of the reader-averaged AUC that is unbiased and does not use resampling tools...
  3. ncbi Evaluating imaging and computer-aided detection and diagnosis devices at the FDA
    Brandon D Gallas
    Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993 0002, USA
    Acad Radiol 19:463-77. 2012
    ..This summary is intended to document the topics that were discussed at the meeting and disseminate the lessons that have been learned through past studies of imaging and computer-aided detection and diagnosis device performance...
  4. ncbi Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
    Breast Cancer Res 12:R5. 2010
    ....
  5. ncbi Reader studies for validation of CAD systems
    Brandon D Gallas
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging Systems, FDA, Silver Spring, MD 20993 0002, United States
    Neural Netw 21:387-97. 2008
    ..We demonstrate our method with a computer simulation, and we assess the statistical power of a variety of study designs...
  6. ncbi Incorporating human contrast sensitivity in model observers for detection tasks
    Subok Park
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging System, Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, Food and Drug Administration, White Oak, MD 20993, USA
    IEEE Trans Med Imaging 28:339-47. 2009
    ..Our results show that the CS-CHO predicts human performance well as a function of signal intensity...
  7. ncbi Detectability decreases with off-normal viewing in medical liquid crystal displays
    Aldo Badano
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging, Center for Devices and Radiological Health, Food and Drug Administration, Rockville, MD 20857, USA
    Acad Radiol 13:210-8. 2006
    ..To quantify the reduction in detection performance of subtle signals at off-normal viewing directions in medical active-matrix liquid crystal displays (AMLCDs)...
  8. ncbi Singular value description of a digital radiographic detector: theory and measurements
    Iacovos S Kyprianou
    NIBIB CDRH Laboratory for the Assessment of Medical Imaging Systems, US Food and Drug Administration, New Hampshire Avenue, Silver Spring, Maryland 20993, USA
    Med Phys 35:4744-56. 2008
    ..Discussion is made about the benefits of the H matrix technique with regards to signal detection theory, and the characterization of shift-variant imaging systems...
  9. ncbi Image browsing in slow medical liquid crystal displays
    Hongye Liang
    CDRH NIBIB Laboratory for the Assessment of Medical Imaging Systems, Division of Imaging and Applied Mathematics, U S Food and Drug Administration, 10903 New Hampshire Avenue, Building 62, Room 3113, Silver Spring, MD 20993, USA
    Acad Radiol 15:370-82. 2008
    ..In this framework, the slow temporal response of liquid crystal displays (LCDs) can compromise the image quality when the images are browsed in a fast sequence...
  10. ncbi Toward objective and quantitative evaluation of imaging systems using images of phantoms
    Robert M Gagne
    Center for Devices and Radiological Health, FDA, 12720 Twinbrook Parkway, Rockville, Maryland 20857, USA
    Med Phys 33:83-95. 2006
    ..Our methods provide objective and quantitative evaluation of imaging systems with increased precision and reduced bias...
  11. ncbi Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland 20993, USA
    Arch Pathol Lab Med 135:233-42. 2011
    ..A reduction in observer variability using computer aids could enhance the statistical power of studies designed to determine the utility of new biomarkers and accelerate their incorporation in clinical practice...
  12. ncbi An energy- and depth-dependent model for x-ray imaging
    Brandon D Gallas
    NIBIB/CDRH Laboratory for the Assessment of Medical Imaging Systems, Rockville, Maryland 20857, USA
    Med Phys 31:3132-49. 2004
    ..In our results, the impact of fill factor is between these extremes, and depends on the diameter of the signal...
  13. ncbi Validating the use of channels to estimate the ideal linear observer
    Brandon D Gallas
    Center for Devices and Radiological Health, U S Food and Drug Administration, HFZ 142, 12720 Twinbrook Parkway, Rockville, Maryland 20857, USA
    J Opt Soc Am A Opt Image Sci Vis 20:1725-38. 2003
    ..An alternative to the ideal observer is the ideal linear observer, which can still be unmanageable. Our alternative is the ideal linear observer constrained to a small set of channels: the channelized-Hotelling observer...