World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5427
World Ranking
8691
National Ranking
2412

Overview

Craig K. Abbey is affiliated with the University of California, Santa Barbara in the United States. Their research is primarily situated within the field of Medicine, with a significant focus on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering, and Oncology.

Their scholarly contributions encompass a range of topics related to medical imaging and cancer detection, including Medical Imaging Techniques and Applications, Digital Radiography and Breast Imaging, AI in cancer detection, Advanced X-ray and CT Imaging, Global Cancer Incidence and Screening, Radiomics and Machine Learning in Medical Imaging, and Cardiac Imaging and Diagnostics.

Craig K. Abbey has published numerous papers in various scientific venues. Frequent publication venues include:

  • Journal of Medical Imaging
  • Medical Physics
  • arXiv (Cornell University)
  • Journal of Vision
  • IEEE Transactions on Medical Imaging

Some of the recent papers include:

  • Validation of synthesized normal-resolution image data generated from high-resolution acquisitions on a commercial CT scanner, 2020, Medical Physics
  • Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets, 2021, Current Biology
  • Effects of kV, filtration, dose, and object size on soft tissue and iodine contrast in dedicated breast CT, 2020, Medical Physics
  • Foveated Model Observers for Visual Search in 3D Medical Images, 2020, IEEE Transactions on Medical Imaging
  • Does scent attractiveness reveal women's ovulatory timing? Evidence from signal detection analyses and endocrine predictors of odour attractiveness, 2022, Proceedings of the Royal Society B Biological Sciences

Craig K. Abbey frequently collaborates with several other researchers, including:

  • Miguel P. Eckstein
  • Andrew M. Hernandez
  • John M. Boone
  • Ioannis Sechopoulos
  • Michael A. Webster

Best Publications

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

    Craig K. Abbey;Harrison H. Barrett

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

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

  • Visual signal detectability with two noise components: anomalous masking effects.

    Arthur E. Burgess;Xing Li;Craig K. Abbey

  • The footprints of visual attention in the Posner cueing paradigm revealed by classification images

    Miguel P. Eckstein;Steven S. Shimozaki;Craig K. Abbey

  • APPARATUS FOR GENERATING VISUAL IMAGES OF THE INTERIOR OF THE HUMAN BODY

    Close Robert A;Whiting James S;Abbey Craig K

  • Statistical texture synthesis of mammographic images with super-blob lumpy backgrounds.

    François O. Bochud;Craig K. Abbey;Miguel P. Eckstein

  • Classification image analysis: estimation and statistical inference for two-alternative forced-choice experiments

    Craig K. Abbey;Miguel P. Eckstein

  • Characterizing anatomical variability in breast CT images.

    Kathrine G. Metheany;Craig K. Abbey;Nathan Packard;John M. Boone

  • Stabilized estimates of Hotelling-observer detection performance in patient-structured noise

    Harrison H. Barrett;Craig K. Abbey;Brandon D. Gallas;Miguel P. Eckstein

  • Automated computer evaluation and optimization of image compression of x-ray coronary angiograms for signal known exactly detection tasks.

    Miguel P. Eckstein;Jay L. Bartroff;Craig K. Abbey;James S. Whiting

  • Toward Fully Automated High-Resolution Electron Tomography

    Jennifer C. Fung;Weiping Liu;W.J. de Ruijter;Hans Chen

  • A Practical Guide to Model Observers for Visual Detection in Synthetic and Natural Noisy Images

    Miguel P. Eckstein;Craig K. Abbey;François O. Bochud

  • Linear system models for ultrasonic imaging: application to signal statistics

    R.J. Zemp;C.K. Abbey;M.F. Insana

  • Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds.

    François O. Bochud;Craig K. Abbey;Miguel P. Eckstein

  • Practical issues and methodology in assessment of image quality using model observers

    Craig K. Abbey;Harrison H. Barrett;Miguel P. Eckstein

  • Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities

    Lin Chen;Craig K Abbey;John M Boone

  • Perceptual learning through optimization of attentional weighting: human versus optimal Bayesian learner.

    Miguel P Eckstein;Craig K Abbey;Binh T Pham;Steven S Shimozaki

  • Neural decoding of collective wisdom with multi-brain computing

    Miguel P. Eckstein;Koel Das;Binh T. Pham;Matthew F. Peterson

  • Observer signal-to-noise ratios for the ML-EM algorithm.

    Craig K. Abbey;Harrison H. Barrett;Donald W. Wilson

  • Visual signal detection in structured backgrounds. IV. Figures of merit for model performance in multiple-alternative forced-choice detection tasks with correlated responses.

    Miguel P. Eckstein;Craig K. Abbey;François O. Bochud

  • Comparison of two weighted integration models for the cueing task: linear and likelihood.

    Steven S. Shimozaki;Miguel P. Eckstein;Craig K. Abbey

Frequent Co-Authors

Miguel P. Eckstein
Miguel P. Eckstein University of California, Santa Barbara
Michael F. Insana
Michael F. Insana University of Illinois at Urbana-Champaign
Harrison H. Barrett
Harrison H. Barrett University of Arizona
Michael A. Webster
Michael A. Webster University of Nevada Reno
Ehsan Samei
Ehsan Samei Duke University
Kyle J. Myers
Kyle J. Myers Texas A&M University
Robert D. Cardiff
Robert D. Cardiff University of California, Davis
Simon R. Cherry
Simon R. Cherry University of California, Davis
John W. Sedat
John W. Sedat University of California, San Francisco
David A. Agard
David A. Agard University of California, San Francisco

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