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Harrison H. Barrett

Harrison H. Barrett

D-Index & Metrics

Computer Science

D-Index
63
Citations
17586
World Ranking
2733
National Ranking
1359

Research.com Recognitions

  • 2018 - Fellow, National Academy of Inventors
  • 2014 - Member of the National Academy of Engineering For contributions to the physical and statistical foundations and applications of radiological and nuclear medical imaging.
  • 2011 - IEEE Medal for Innovations in Healthcare Technology "For pioneering contributions to the foundations and applications of biomedical imaging science.”
  • 1994 - Fellow of American Physical Society (APS) Citation For important contributions to medical physics and imaging science, particularly to the theory and practice of radionuclide imaging in nuclear medicine

Overview

Harrison H. Barrett is affiliated with the University of Arizona in the United States. Their research primarily focuses on the field of Medicine, with a specialization in Radiology, Nuclear Medicine and Imaging. Their studies also extend into Biophysics, Biomedical Engineering, Infectious Diseases, and Pulmonary and Respiratory Medicine.

The primary areas of work cover topics such as:

  • Radiomics and Machine Learning in Medical Imaging
  • Cell Image Analysis Techniques
  • Medical Imaging Techniques and Applications
  • COVID-19 Clinical Research Studies
  • Advanced X-ray and CT Imaging
  • Radiation Therapy and Dosimetry
  • Advanced Optical Sensing Technologies

Their recent publications include:

  • "Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease" (2020), Journal of Medical Imaging
  • "Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease" (2020), Journal of Medical Imaging
  • "Abstract 1656: Quantifying task performance with photon-processing detectors" (2020), Cancer Research
  • "Publisher's Note: Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease" (2020), Journal of Medical Imaging
  • "Multimodality, multiscale imaging systems for investigating physiological random processes" (2022), Medical Imaging 2022: Physics of Medical Imaging

Frequent co-authors working alongside Harrison H. Barrett include:

  • Luca Caucci
  • Nicholas P. Henscheid
  • Imad I. Faruque

Their work has been published in several venues, with multiple contributions to:

  • Journal of Medical Imaging
  • Cancer Research
  • Medical Imaging 2022: Physics of Medical Imaging
  • arXiv (Cornell University)

Harrison H. Barrett has received several awards and recognitions, including:

  • Fellow, National Academy of Inventors (2018)
  • Member of the National Academy of Engineering (2014) for contributions to the physical and statistical foundations and applications of radiological and nuclear medical imaging
  • IEEE Medal for Innovations in Healthcare Technology (2011) for pioneering contributions to the foundations and applications of biomedical imaging science
  • Fellow of American Physical Society (APS) (1994), with a citation acknowledging important contributions to medical physics and imaging science, particularly radionuclide imaging in nuclear medicine

Best Publications

  • Foundations of Image Science

    Harrison H. Barrett;Kyle J. Myers;Satyapal Rathee

  • Model observers for assessment of image quality

    Harrison H. Barrett;Jie Yao;Jannick P. Rolland;Kyle J. Myers

  • Addition of a channel mechanism to the ideal-observer model.

    Kyle J. Myers;Harrison H. Barrett

  • Objective assessment of image quality: Effects of quantum noise and object variability

    Harrison H. Barrett

  • Noise properties of the EM algorithm: I. Theory.

    H H Barrett;D W Wilson;B M W Tsui

  • List-mode likelihood: EM algorithm and image quality estimation demonstrated on 2-D PET

    L. Parra;H.H. Barrett

  • Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability.

    Craig K. Abbey;Harrison H. Barrett

  • Radiological Imaging: The Theory of Image Formation, Detection, and Processing

    H. H. Barrett;W. Swindell;Robert Stanton

  • Effect of random background inhomogeneity on observer detection performance.

    J. P. Rolland;Harrison H Barrett

  • Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance

    Harrison H. Barrett;J. L. Denny;Robert F. Wagner;Kyle J. Myers

  • FastSPECT II: a second-generation high-resolution dynamic SPECT imager

    L.R. Furenlid;D.W. Wilson;Yi-chun Chen;Hyunki Kim

  • Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions

    Harrison H. Barrett;Craig K. Abbey;Eric Clarkson

  • List-mode likelihood

    Harrison H. Barrett;Timothy White;Lucas C. Parra

  • Effect of noise correlation on detectability of disk signals in medical imaging

    K. J. Myers;H. H. Barrett;M. C. Borgstrom;D. D. Patton

  • Noise properties of the EM algorithm: II. Monte Carlo simulations.

    D W Wilson;B M W Tsui;H H Barrett

  • Fresnel zone plate imaging in nuclear medicine.

    Harrison H. Barrett

  • Hotelling trace criterion and its correlation with human-observer performance.

    R. D. Fiete;H. H. Barrett;W. E. Smith;K. J. Myers

  • Fresnel zone plate imaging of gamma rays; theory

    H. H. Barrett;F. A. Horrigan

  • III The Radon Transform and Its Applications

    Harrison H. Barrett

  • Signals induced in semiconductor gamma-ray imaging detectors

    J. D. Eskin;H. H. Barrett;H. B. Barber

  • Foundations of Image Science

    Harrison H. Barrett;Kyle J. Myers;Sreeram Dhurjaty

  • EditorialInformation processing in medical imaging

    Harrison H Barrett;Arthur F Gmitro

  • Model observers for assessment of image quality

    H.H. Barrett

Frequent Co-Authors

Kyle J. Myers
Kyle J. Myers Texas A&M University
Arthur F. Gmitro
Arthur F. Gmitro University of Arizona
Craig K. Abbey
Craig K. Abbey University of California, Santa Barbara
Jannick P. Rolland
Jannick P. Rolland University of Rochester
Robert K. Rowe
Robert K. Rowe HID Global
John C. Morris
John C. Morris Washington University in St. Louis
Simon R. Arridge
Simon R. Arridge University College London
Elizabeth A. Krupinski
Elizabeth A. Krupinski Emory University
Lucas C. Parra
Lucas C. Parra City College of New York
Miguel P. Eckstein
Miguel P. Eckstein University of California, Santa Barbara

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