Dr. Craig K. Abbey
Researcher
SPIE Involvement:
Conference Program Committee | Author | Editor
Area of Expertise:
Image Analysis , Image Quality , Models of Observer Performance , Observer Performance Assessment , Image Statistics
Profile Summary

Craig K. Abbey received his PhD in applied mathematics from the University of Arizona in 1998. He was a postdoctoral fellow in medical physics at Cedars-Sinai Medical Center and UCLA from 1998 to 2001. From 2001 to 2004 he was a member of the faculty in biomedical engineering at UC Davis. His primary affiliation is in the Dept. of Psychological and Brain Science at UC Santa Barbara. His research focuses on how useful diagnostic information is extracted from images in the presence of noise and other signal distortions. Methods for investigating this topic include theoretical analysis of image statistics as well as visual psychophysics for evaluating human observer performance.
Publications (77)

SPIE Journal Paper | 30 October 2020
JMI Vol. 7 Issue 05

Proceedings Article | 16 March 2020 Presentation + Paper
Proc. SPIE. 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Signal to noise ratio, Apodization, X-ray computed tomography, Imaging systems, Spatial frequencies, Diagnostics, Lung, Image classification

Proceedings Article | 16 March 2020 Presentation + Paper
Proc. SPIE. 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Convolutional neural networks, Data modeling, Scanners, Image restoration, Image quality, Neural networks, Reconstruction algorithms, Positron emission tomography, Performance modeling, Expectation maximization algorithms

Proceedings Article | 16 March 2020 Presentation + Paper
Proc. SPIE. 11312, Medical Imaging 2020: Physics of Medical Imaging
KEYWORDS: Breast, Imaging systems, Image segmentation, Scanners, Calcium, Image resolution, Signal generators, Signal detection

Proceedings Article | 16 March 2020 Presentation + Paper
Proc. SPIE. 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Eye, Visual process modeling, Visualization, 3D modeling, Human vision and color perception, Signal detection, Performance modeling, Eye models, 3D image processing, Information visualization, Digital breast tomosynthesis

Showing 5 of 77 publications
Proceedings Volume Editor (5)

Conference Committee Involvement (16)
Image Perception, Observer Performance, and Technology Assessment
14 February 2021 | San Diego, California, United States
Image Perception, Observer Performance, and Technology Assessment
19 February 2020 | Houston, Texas, United States
Image Perception, Observer Performance, and Technology Assessment
20 February 2019 | San Diego, California, United States
Image Perception, Observer Performance, and Technology Assessment
11 February 2018 | Houston, Texas, United States
Image Perception, Observer Performance, and Technology Assessment Posters
12 February 2017 | Orlando, FL, United States
Showing 5 of 16 Conference Committees
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