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Craig K. Abbey
Researcher at University of California, Santa Barbara
Publications - 238
Citations - 4738
Craig K. Abbey is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Observer (quantum physics) & Imaging phantom. The author has an hindex of 37, co-authored 218 publications receiving 4407 citations. Previous affiliations of Craig K. Abbey include University of California, San Francisco & University of Arizona.
Papers
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Journal ArticleDOI
Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability.
TL;DR: Human-observer performance in several signal-known-exactly detection tasks is evaluated through psychophysical studies by using the two-alternative forced-choice method and shows that human observers are able to detect ever more subtle lesions at increased exposure times.
Journal ArticleDOI
Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions
TL;DR: All moments of both the likelihood and the log likelihood under both hypotheses can be derived from this one function, and the AUC can be expressed, to an excellent approximation, in terms of the likelihood-generating function evaluated at the origin.
Journal ArticleDOI
Visual signal detectability with two noise components: anomalous masking effects.
TL;DR: In this article, the authors measured human observers' detectability of aperiodic signals in noise with two components (white and low-pass Gaussian) and found that the signal detection task was always noise limited rather than contrast limited (i.e., image noise was always much larger than observer internal noise).
Journal ArticleDOI
The footprints of visual attention in the Posner cueing paradigm revealed by classification images
TL;DR: A difference in the magnitude of the classification images is found, supporting the idea that visual attention changes the weighting of information at the cued and uncued location, but does not change the quality of processing at each individual location.
Patent
Image guidance for coronary stent deployment
TL;DR: In this article, a method for image guidance of coronary stent deployment using radiopaque markers and the image processing technique of moving layer decomposition was proposed, where the stents are attached to guidewires or delivery balloons that are used to place the stent and co-move with the coronary vessel.