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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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Proceedings ArticleDOI
Layer decomposition of coronary angiograms
TL;DR: The method for layer decomposition models the cone-beam projections through the chest as a set of superposed layers moving with translation, rotation, and scaling, and solves for the layer motions using phase correlation methods.
Journal ArticleDOI
Validation of synthesized normal-resolution image data generated from high-resolution acquisitions on a commercial CT scanner
Andrew M. Hernandez,Daniel W. Shin,Craig K. Abbey,J. Anthony Seibert,Naruomi Akino,Takahiro Goto,J. Y. Vaishnav,Kirsten Boedeker,John M. Boone +8 more
TL;DR: NRsim, an algorithm for simulating NR acquisitions using HR and SHR raw data, was introduced and shown to generate images with spatial resolution, noise, HU accuracy and LCD largely equivalent to scans acquired using an actual NR acquisition.
Journal ArticleDOI
The surprisingly high human efficiency at learning to recognize faces
TL;DR: It is concluded that the higher learning measured with faces cannot be driven by adaptive eye movement strategies but can be mostly accounted for by suboptimalities in human face discrimination when observers are uncertain about the discriminating feature.
Journal ArticleDOI
Virtual evolution for visual search in natural images results in behavioral receptive fields with inhibitory surrounds.
TL;DR: It is suggested that optimized linear detection of spatially compact signals in natural images might be a new possible hypothesis, distinct from decorrelation of visual input and sparse representations, to explain the evolution of center–surround organization of receptive fields in early vision.
Patent
Image guidance method coronary stent deployment
TL;DR: In this paper, 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.