Craig K. Abbey

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Interactions of lesion detectability and size across single-slice DBT and 3D DBT

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2018, Medical Imaging.

Cystic resolution and task performance in beamforming

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2010, 2010 IEEE International Ultrasonics Symposium.

Generalized NEQ: Fourier analysis where you would least expect to find it

Craig K. Abbey, Kyle J. Myers, Robert F. Wagner, 1996, Medical Imaging.

Beamforming designs for breast sonography

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2014, 2014 IEEE International Ultrasonics Symposium.

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

Craig K. Abbey, Miguel P. Eckstein, Francis R. Verdun, 2015, IEEE Transactions on Medical Imaging.

Contrast discrimination in noise and classification images

Craig K. Abbey, John M. Foley, 2010 .

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

Craig K. Abbey, Miguel P. Eckstein, François Bochud, 2000 .

Contrast effects in rapid learning of a visual detection task

Craig K. Abbey, Miguel P. Eckstein, Steven S. Shimozaki, 2005 .

Fast algorithms for histogram matching: Application to texture synthesis

Craig K. Abbey, Jannick P. Rolland, V. Vo, 2000, J. Electronic Imaging.

Classification Images in Free-Localization Tasks with Gaussian Noise

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2010 .

Neural decoding of semantic processing during the attentional blink

Craig K. Abbey, Miguel P. Eckstein, Barry Giesbrecht, 2010 .

Human observer templates for lesion discrimination tasks

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2020, Medical Imaging.

Accuracy assessment of layer decomposition using simulated angiographic image sequences

Craig K. Abbey, Craig A. Morioka, Robert A. Close, 2001, IEEE Transactions on Medical Imaging.

Robustness of Wiener filtering as an approximation to the Bayesian observer stragegy

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2010, 2010 IEEE International Ultrasonics Symposium.

Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment

Claudia Mello-Thoms, Craig K. Abbey, 2012 .

Bayesian Detection of Random Signals on Random Backgrounds

Craig K. Abbey, Harrison H. Barrett, H. Barrett, 1997, IPMI.

Frequency, bandwidth, and information transfer in B-mode imaging

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2012, Medical Imaging.

An Adaptive Filter to Approximate the Bayesian Strategy for Sonographic Beamforming

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2011, IEEE Transactions on Medical Imaging.

A mammographic mass CAD system incorporating features from shape, fractal, and channelized Hotelling observer measurements: preliminary results

Craig K. Abbey, Carey E. Floyd, Alan H. Baydush, 2003, SPIE Medical Imaging.

Tomographic reconstruction of the pulse-echo spatiotemporal impulse response

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2010, Medical Imaging.

Observer Models as a Surrogate to Perception Experiments

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2018, The Handbook of Medical Image Perception and Techniques.

Mass detection in breast tomosynthesis and digital mammography: a model observer study

Craig K. Abbey, Miguel P. Eckstein, François Bochud, 2009, Medical Imaging.

Model observer optimization of JPEG image compression

Craig K. Abbey, Miguel P. Eckstein, Jay Bartroff, 2000 .

Higher-order scene statistics of breast images

Craig K. Abbey, Miguel P. Eckstein, Bruno A. Olshausen, 2009, Medical Imaging.

Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves

Craig K. Abbey, Bart Goossens, Adam Wunderlich, 2016, IEEE Transactions on Medical Imaging.

Estimates of human-observer templates for a simple detection task in correlated noise

Craig K. Abbey, Miguel P. Eckstein, 2000, Medical Imaging.

Approximate maximum likelihood estimation of scanning observer templates

Craig K. Abbey, Frank W. Samuelson, Miguel P. Eckstein, 2015, Medical Imaging.

Generalized NEQ for assessment of ultrasound image quality

Craig K. Abbey, Michael F. Insana, Roger J. Zemp, 2003, SPIE Medical Imaging.

Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography

Craig K. Abbey, Miguel P. Eckstein, Craig A. Morioka, 1999, Medical Imaging.

Further investigation of the effect of phase spectrum on visual detection in structured backgrounds

Craig K. Abbey, Miguel P. Eckstein, Francois O. Bochud, 1999, Medical Imaging.

Improved image guidance of coronary stent deployment

Craig K. Abbey, Robert A. Close, James S. Whiting, 2000, Medical Imaging.

Mass detection on mammograms: signal variations and performance changes for human and model observers

Craig K. Abbey, Miguel P. Eckstein, Ehsan Samei, 2008, SPIE Medical Imaging.

Effect of image compression in model and human performance

Craig K. Abbey, Miguel P. Eckstein, Jay Bartroff, 1999, Medical Imaging.

An ideal observer approach to beamforming

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2008, SPIE Medical Imaging.

Fundamental performance metrics and optimal image processing strategies for ultrasound systems

Craig K. Abbey, Roger J. Zemp, Michael F. Insana, 2002, 2002 IEEE Ultrasonics Symposium, 2002. Proceedings..

Ultrasound perfusion signal processing for tumor detection

Craig K. Abbey, Michael F. Insana, Min Woo Kim, 2016, SPIE Medical Imaging.

Observer efficiency in discrimination tasks Simulating Malignant and benign breast lesions imaged with ultrasound

Jie Liu, Craig K. Abbey, Michael F. Insana, 2006, IEEE Transactions on Medical Imaging.

A mathematical model approach toward combining information from multiple image projections of the same patient

Craig K. Abbey, Ehsan Samei, Amarpreet S. Chawla, 2007, SPIE Medical Imaging.

Uncertain humans in a structurally certain world: attentional leaking with 100% valid postcues as seen by classification images

Craig K. Abbey, Miguel P. Eckstein, Steve S. Shimozaki, 2002 .

Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model

Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, 1997, IPMI.

Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2002, IEEE Transactions on Medical Imaging.

Mass detection on real and synthetic mammograms: human observer templates and local statistics

Craig K. Abbey, Miguel P. Eckstein, Francis R. Verdun, 2007, SPIE Medical Imaging.

Effect of image compression for model and human observers in signal-known-statistically tasks

Craig K. Abbey, Miguel P. Eckstein, Binh Thai Pham, 2002, SPIE Medical Imaging.

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2020, Medical Imaging.

Perfusion signal processing for optimal detection performance

Craig K. Abbey, Michael F. Insana, MinWoo Kim, 2014, 2014 IEEE International Ultrasonics Symposium.

Short term negative learning produced by monitoring erroneous templates

Craig K. Abbey, Miguel P. Eckstein, Steve S. Shimozaki, 2010 .

Acquisition information spectrum for evaluating sonographic quality

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Ultrasonic array beamforming with iterative spatial filters

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2009, Medical Imaging.

Ideal Observer Model for Detection of Blood Perfusion and Flow Using Ultrasound

Craig K. Abbey, Michael F. Insana, Roger J. Zemp, 2003, IPMI.

Model observers for signal-known-statistically tasks (SKS)

Craig K. Abbey, Miguel P. Eckstein, 2001, SPIE Medical Imaging.

Sequential reading effects in Dutch screening mammography

Craig K. Abbey, Ioannis Sechopoulos, Michael A. Webster, 2020, Medical Imaging.

Observer adaptation to unnatural CT-like noise textures

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2019, Journal of Vision.

High-throughput screening of molecular imaging agents using MicroPET

Craig K. Abbey, Jan Marik, M. Karen J. Gagnon, 2007 .

Classification images for the detection of a simulated mass in mammographic images

Craig K. Abbey, Miguel P. Eckstein, Carey E. Floyd, 2002 .

Detection performance theory for ultrasound imaging systems

Craig K. Abbey, Michael F. Insana, Roger J. Zemp, 2005, IEEE Transactions on Medical Imaging.

Expanding Acquisition and Clutter Filter Dimensions for Improved Perfusion Sensitivity

Craig K. Abbey, Michael F. Insana, Lawrence W. Dobrucki, 2017, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

The efficiency of perceptual learning in a visual detection task

Craig K. Abbey, Miguel P. Eckstein, S. S. Shimozaki, 2010 .

Improved detection of simulated thrombus by layer decomposition of coronary angiograms

Craig K. Abbey, Craig A. Morioka, Robert A. Close, 2001, SPIE Medical Imaging.

High human-observer efficiency for forced-localization tasks in correlated noise

Craig K. Abbey, Miguel P. Eckstein, 2010, Medical Imaging.

Model observer based optimization of JPEG image compression

Craig K. Abbey, Miguel P. Eckstein, Jay Bartroff, 2000, Medical Imaging.

Task-Based Design and Evaluation of Ultrasonic Imaging Systems

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2015 .

Observer templates in 2D and 3D localization tasks

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2018, Medical Imaging.

Characterizing non-Gaussian properties of breast images with a noisy-Laplacian distribution

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2011, Medical Imaging.

PET Imaging of development and malignant transformation in a mouse model of mammary intraepithelial neoplasia

Simon R. Cherry, Craig K. Abbey, Alexander D. Borowsky, 2005, SPIE Medical Imaging.

Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment

Claudia Mello-Thoms, Craig K. Abbey, 2013 .

Motion and display effects on perception of multiple coronary stents

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2009, Medical Imaging.

Human vs model observers in anatomic backgrounds

Craig K. Abbey, Miguel P. Eckstein, James S. Whiting, 1998, Medical Imaging.

Some unlikely properties of the likelihood ratio and its logarithm

Craig K. Abbey, Harrison H. Barrett, Eric W Clarkson, 1998, Medical Imaging.

A bivariate binormal ROC methodology for comparing new methods to an existing standard for screening applications

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2007, SPIE Medical Imaging.

The efficiency of reading around learned backgrounds

Craig K. Abbey, Miguel P. Eckstein, Yani Zhang, 2006, SPIE Medical Imaging.

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

Craig K. Abbey, Miguel P. Eckstein, Harrison H. Barrett, 1997, Medical Imaging.

Foveated Model Observers for Visual Search in 3D Medical Images

Craig K. Abbey, Miguel P. Eckstein, M. A. Lago, 2020, IEEE Transactions on Medical Imaging.

A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model

Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, 1998, Medical Image Anal..

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

Craig K. Abbey, Miguel P. Eckstein, Harrison H. Barrett, 1998, Medical Imaging.

A utility/cost analysis of breast cancer risk prediction algorithms

Craig K. Abbey, Frank W. Samuelson, John M. Boone, 2016, SPIE Medical Imaging.

Estimation of human-observer templates in two-alternative forced-choice experiments

Craig K. Abbey, Miguel P. Eckstein, Francois O. Bochud, 1999, Medical Imaging.

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

Craig K. Abbey, Donald W. Wilson, Harrison H. Barrett, 1996, Medical Imaging.

Non-Gaussian statistical properties of virtual breast phantoms

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2014, Medical Imaging.

Comparing Reweighting Models in Perceptual learning: Optimal vs Proportional Hebbian

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2012 .

Classification Images for Search in Natural Images

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2010 .

73.1: Invited Paper: Modeling the Effect of Image Noise on Perceptual Decisions

Craig K. Abbey, Miguel P. Eckstein, 2008 .

Evaluation of search strategies for microcalcifications and masses in 3D images

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2018, Medical Imaging.

Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments

Craig K. Abbey, Miguel P. Eckstein, 2001, IPMI.

Observer efficiency in free-localization tasks with correlated noise

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2014, Front. Psychol..

Dissociations in ideal and human observer visual search in 3D images

Craig K. Abbey, Miguel P. Eckstein, Miguel Angel Lago Angel, 2018 .

Learning predictive cues to optimize visual search

Craig K. Abbey, Miguel P. Eckstein, Jason A. Droll, 2010 .

Perceptual assessment of multiple stent deployment

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2008, SPIE Medical Imaging.

Observer efficiency in boundary discrimination tasks related to assessment of breast lesions with ultrasound

Craig K. Abbey, Michael F. Insana, Roger J. Zemp, 2006, SPIE Medical Imaging.

Statistical properties of a utility measure of observer performance compared to area under the ROC curve

Craig K. Abbey, Frank W. Samuelson, John M. Boone, 2013, Medical Imaging.

Observer performance detecting signals in globally non-stationary oriented noise

Craig K. Abbey, Miguel P. Eckstein, Yani Zhang, 2006, SPIE Medical Imaging.

Modeling Visual Detection Tasks in Correlated Image Noise with Linear Model Observers

Craig K. Abbey, François Bochud, C. Abbey, 2000 .

Objective Assessment of Sonographic: Quality II Acquisition Information Spectrum

Craig K. Abbey, Michael F. Insana, Nghia Q. Nguyen, 2013, IEEE Transactions on Medical Imaging.

Information distribution for face identificaiton and its relation to human strategies

Craig K. Abbey, Miguel P. Eckstein, Matthew F. Peterson, 2010 .

Model observers for complex discrimination tasks: assessments of multiple coronary stent placements

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2010, Medical Imaging.

Discriminatory power of common genetic variants in personalized breast cancer diagnosis

Craig K. Abbey, Jun Fan, Yirong Wu, 2016, SPIE Medical Imaging.

Deep learning-based model observers that replicate human observers for PET imaging

Craig K. Abbey, Bruno De Man, Scott D. Wollenweber, 2020, Medical Imaging.

Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2020, Medical Imaging.

Mathematical observers applied to breast tomosynthesis.

Craig K. Abbey, Miguel P. Eckstein, Pontus Timberg, 2009 .

Deep learning based model observer by U-Net

Craig K. Abbey, Jovan G. Brankov, Iris Lorente, 2020, Medical Imaging.

Maximum-likelihood and maximum-a-posteriori estimates of human-observer templates

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2001, SPIE Medical Imaging.

Understanding CNN based anthropomorphic model observer using classification images

Craig K. Abbey, Jovan G. Brankov, Iris Lorente, 2021, Medical Imaging.

Clutter filtering strategies for peripheral muscle perfusion imaging using ultrasound

Craig K. Abbey, Michael F. Insana, Yang Zhu, 2021, Medical Imaging.

Medical image quality metrics for foveated model observers

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2021, Journal of medical imaging.

Foveated Model Observers for Visual Search in 3D Medical Images

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2020, IEEE Transactions on Medical Imaging.

Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise

Craig K. Abbey, Andrew D. A. Maidment, Predrag R. Bakic, 2021, IEEE Transactions on Medical Imaging.

CNN based anthropomorphic model observer for defect localization

Craig K. Abbey, Jovan G. Brankov, Iris Lorente, 2021, Medical Imaging.

The surprisingly high human efficiency at learning to recognize faces

Craig K. Abbey, Miguel P. Eckstein, Matthew F. Peterson, 2009, Vision Research.

High-throughput in vivo screening of targeted molecular imaging agents

Craig K. Abbey, M. Karen J. Gagnon, Sven H. Hausner, 2009, Proceedings of the National Academy of Sciences.

Linear System Models for Ultrasonic Imaging: Intensity Signal Statistics

Craig K. Abbey, Michael F. Insana, Sara Bahramian, 2017, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

An Equivalent Relative Utility Metric for Evaluating Screening Mammography

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2010, Medical decision making : an international journal of the Society for Medical Decision Making.