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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

Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels

TL;DR: A new linear model observer based on convolution channels is derived, referred to as the “Filtered Channel observer” (FCO), as an extension of the channelized Hotelling observer (CHO) and the nonprewhitening with an eye filter (NPWE) observer, which can take the form of a single template with an external noise term.
Proceedings ArticleDOI

Human-observer templates for detection of a simulated lesion in mammographic images

TL;DR: A probit regression approach for maximum-likelihood (ML) estimation of a linear observer template from human-observer data in two-alternative forced-choice experiments that constrain the observer template to be represented by a limited number of linear features.
Proceedings ArticleDOI

Improved image guidance of coronary stent deployment

TL;DR: It is demonstrated that layer decomposition of a clinical cine x-ray image sequence greatly improves the visibility of a previously deployed stent and it is shown that layer decayposition of contrast-filled vessels removes background structures and reduces noise.
Journal ArticleDOI

Simulating coronary arteries in x‐ray angiograms

TL;DR: This work embedding simulated coronary artery segments with known geometry in clinical angiograms with good agreement in the measured diameters with measurements of an x-ray Telescopic-Shaped Phantom with the same diameters are compared.
Proceedings ArticleDOI

Observer efficiency in discrimination tasks simulating malignant and benign breast lesions with ultrasound

TL;DR: This work uses the ideal observer approach to investigate performance in a number of tasks idealized from the use of ultrasonic imaging for the discrimination of malignant and benign breast tissue and reports the statistical efficiency of human observers in these tasks-as evaluated by psychophysical studies-with respect to the ideal observers.