C. Abbey

发表

Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions.

H. Barrett, C. Abbey, E. Clarkson, 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.

Rapamycin Inhibits Growth of Premalignant and Malignant Mammary Lesions in a Mouse Model of Ductal Carcinoma In situ

J. Gregg, R. Cardiff, C. Abbey, 2006, Clinical Cancer Research.

Perceptual learning through optimization of attentional weighting: human versus optimal Bayesian learner.

M. Eckstein, S. Shimozaki, C. Abbey, 2004, Journal of vision.

Non-Gaussian statistical properties of breast images.

J. Boone, Jascha Sohl-Dickstein, C. Abbey, 2012, Medical physics.

Linear approach to axial resolution in elasticity imaging

C. Abbey, M. Insana, Jie Liu, 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

The Reproducibility of Changes in Diagnostic Figures of Merit Across Laboratory and Clinical Imaging Reader Studies.

C. Abbey, F. Samuelson, 2017, Academic radiology.

Statistical power considerations for a utility endpoint in observer performance studies.

Brandon D Gallas, Craig K Abbey, Frank W Samuelson, 2013, Academic radiology.

Effect of dose reduction on the detection of mammographic lesions: a mathematical observer model analysis.

D. DeLong, E. Samei, C. Abbey, 2007, Medical physics.

Simulating coronary arteries in x-ray angiograms.

M. Eckstein, R. Close, C. Abbey, 2000, Medical physics.

Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities.

J. Boone, C. Abbey, Lin Chen, 2013, Physics in medicine and biology.

Virtual evolution for visual search in natural images results in behavioral receptive fields with inhibitory surrounds

M. Eckstein, C. Abbey, S. Zhang, 2009, Visual Neuroscience.

Characterizing anatomical variability in breast CT images.

John M Boone, Craig K Abbey, Kathrine G. Metheany, 2008, Medical physics.

Visual adaptation and the amplitude spectra of radiological images

M. Webster, J. Boone, C. Abbey, 2018, Cognitive Research: Principles and Implications.

Spatial profiles of local and nonlocal effects upon contrast detection/discrimination from classification images.

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

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.

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

J. Liu, R. Zemp, C. Abbey, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Targeted in vivo imaging of integrin alphavbeta6 with an improved radiotracer and its relevance in a pancreatic tumor model.

Sven H. Hausner, C. Abbey, R. Bold, 2009, Cancer research.

In vivo positron-emission tomography imaging of progression and transformation in a mouse model of mammary neoplasia.

Craig K Abbey, Simon R Cherry, Robert D Cardiff, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Efficiency of U.S. Tissue Perfusion Estimators

C. Abbey, Minwoo Kim, M. Insana, 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Adaptation Aftereffects in the Perception of Radiological Images

M. Webster, J. Boone, C. Abbey, 2012, PloS one.

Search for lesions in mammograms: statistical characterization of observer responses.

Miguel P Eckstein, François O Bochud, Craig K Abbey, 2003, Medical physics.

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.

Adaptation and visual search in mammographic images

M. Webster, J. Boone, C. Abbey, 2015, Attention, Perception, & Psychophysics.

Simulated lesion, human observer performance comparison between thin-section dedicated breast CT images versus computed thick-section simulated projection images of the breast

J. Boone, C. Abbey, A. Nosratieh, 2015, Physics in medicine and biology.

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.

Optimal filtering for improved perfusion sensitivity

C. Abbey, Minwoo Kim, L. Dobrucki, 2017, 2017 IEEE International Ultrasonics Symposium (IUS).

Effects of kV, filtration, dose and object size on soft tissue and iodine contrast in dedicated breast CT.

Andrew M. Hernandez, J. Boone, C. Abbey, 2020, Medical physics.

A porcine coronary stent modelof increased neointima formation in the left anterior descending coronary artery

C. Abbey, J. Hausleiter, M. Sebastian, 2002, Zeitschrift für Kardiologie.

Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers

C. Abbey, M. Anastasio, S. Sengupta, 2022, Medical Imaging.

Registration methods in power Doppler ultrasound for peripheral perfusion imaging

C. Abbey, M. Insana, Bingze Dai, 2022, Medical Imaging.

Inter‐laboratory comparison of channelized hotelling observer computation

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2018, Medical physics.

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

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

Validation of the localization of the target tissue for intracoronary brachytherapy

C. Abbey, J. Hausleiter, J. Whiting, 2002, Zeitschrift für Kardiologie.

Assessment of boundary discrimination performance in a printed phantom

C. Abbey, J. Stayman, G. Gang, 2022, Medical Imaging.

Validation of synthesized normal resolution image data generated from high resolution acquisitions on a commercial CT scanner.

Daniel W. Shin, Andrew M. Hernandez, J. Boone, 2020, Medical physics.

Classification Images for Search in Natural Images

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

Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design

C. Abbey, I. Sechopoulos, R. Pijnappel, 2022, European Radiology.

Analyzing neural networks applied to an anatomical simulation of the breast

M. Eckstein, C. Abbey, M. Anastasio, 2022, Medical Imaging.

Imaging and Pharmacokinetics of 64Cu-DOTA-HB22.7 Administered by Intravenous, Intraperitoneal, or Subcutaneous Injection to Mice Bearing Non-Hodgkin’s Lymphoma Xenografts

C. Abbey, J. Sutcliffe, D. Kukis, 2009, Molecular Imaging and Biology.

Ideal observers and efficiency: commemorating 50 years of Tanner and Birdsall: introduction.

D. Kersten, B. Tjan, C. Abbey, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Short term negative learning produced by monitoring erroneous templates

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

Novel large-particle FACS purification of adult ventricular myocytes reveals accumulation of myosin and actin disproportionate to cell size and proteome in normal post-weaning development.

C. Abbey, P. Simpson, N. Chiamvimonvat, 2017, Journal of molecular and cellular cardiology.

Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design

C. Abbey, I. Sechopoulos, R. Pijnappel, 2022, European Radiology.

Observer adaptation to unnatural CT-like noise textures

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

Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February - 3 March 2016

Craig K. Abbey, Matthew A. Kupinski, C. Abbey, 2016, Medical Imaging: Image Perception, Observer Performance, and Technology Assessment.

The surprisingly high human efficiency at learning to recognize faces

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

Improved image guidance of coronary stent deployment

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

Classification Images in Free-Localization Tasks with Gaussian Noise

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

Visual search and the power spectra of radiological scans

Craig K. Abbey, Michael A. Webster, John M. Boone, 2014 .

Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment

David J. Manning, Craig K. Abbey, D. Manning, 2010 .

Comparing Reweighting Models in Perceptual learning: Optimal vs Proportional Hebbian

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

Information distribution for face identificaiton and its relation to human strategies

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

High-throughput screening of molecular imaging agents using MicroPET

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

Neural decoding of semantic processing during the attentional blink

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

Task-Based Design and Evaluation of Ultrasonic Imaging Systems

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

Assessment of reconstructed images

Craig Kendall Abbey, C. Abbey, 1998 .

Learning cue validity through performance feedback.

Miguel P Eckstein, Jason A. Droll, Craig K Abbey, 2009, Journal of Vision.

Higher-order scene statistics of breast images

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

Visual signal detection in structured backgrounds. IV. Figures of merit for model performance in multiple-alternative forced-choice detection tasks with correlated responses.

M P Eckstein, C K Abbey, F O Bochud, 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

The temporal dynamics of selective attention of the visual periphery as measured by classification images.

Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey, 2007, Journal of vision.

Strain Imaging and Vascular Elasticity Table of Contents Abstract 1 Chapter 1: Strain Imaging of Internal Deformation 4 Chapter 2: Vascular Elasticity from Regional Displacement Estimates 30 Appendix: Strain Imaging with External Compression 74 References 77 List of Figures

C. Abbey, M. Insana, 2005 .

An ideal observer with channels versus feature-independent processing of spatial frequency and orientation in visual search performance.

Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

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.

Estimating the Relative Utility of Screening Mammography

John M Boone, Miguel P Eckstein, Craig K Abbey, 2013, Medical decision making : an international journal of the Society for Medical Decision Making.

Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds.

M P Eckstein, C K Abbey, F O Bochud, 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

Discriminatory power of common genetic variants in personalized breast cancer diagnosis

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

Frequency tuning of perceptual templates changes with noise magnitude.

Miguel P Eckstein, Craig K Abbey, M. Eckstein, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Mass detection on mammograms: influence of signal shape uncertainty on human and model observers.

M P Eckstein, C K Abbey, C Castella, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Classification image analysis: estimation and statistical inference for two-alternative forced-choice experiments.

Miguel P Eckstein, Craig K Abbey, M. Eckstein, 2002, Journal of vision.

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.

Classification images for detection, contrast discrimination, and identification tasks with a common ideal observer.

Miguel P Eckstein, Craig K Abbey, M. Eckstein, 2006, Journal of vision.

Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves

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

Does scent attractiveness reveal women's ovulatory timing? Evidence from signal detection analyses and endocrine predictors of odour attractiveness

C. Abbey, James R Roney, M. Emery Thompson, 2022, Proceedings of the Royal Society B.

Monitoring Muscle Perfusion in Rodents During Short-Term Ischemia Using Power Doppler Ultrasound.

C. Abbey, M. Insana, Bingze Dai, 2023, Ultrasound in medicine & biology.

Objective Assessment of Sonographic Quality I: Task Information

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

Objective Assessment of Sonographic: Quality II Acquisition Information Spectrum

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

Detectability index describes the information conveyed by sonographic images

C. K. Abbey, N. Q. Nguyen, M. F. Insana, 2011, 2011 IEEE International Ultrasonics Symposium.

Preclinical Imaging of Mammary Intraepithelial Neoplasia with Positron Emission Tomography

R. Cardiff, S. Cherry, C. Abbey, 2006, Journal of Mammary Gland Biology and Neoplasia.

High-resolution μCT imaging for characterizing microcalcification detection performance in breast CT

Amy E. Becker, J. Boone, C. Abbey, 2021, Journal of medical imaging.

Evaluation of layer decomposition for multiframe quantitative coronary angiography.

Craig A Morioka, Craig K Abbey, Robert A Close, 2002, Medical physics.

Improved localization of coronary stents using layer decomposition.

Craig K Abbey, Robert A Close, James S Whiting, 2002, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability.

H H Barrett, C K Abbey, H. Barrett, 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

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.

Power Spectrum Analysis of Breast Parenchyma with Digital Breast Tomosynthesis Images in a Longitudinal Screening Cohort from Two Vendors.

C. Lehman, C. Abbey, Kai Yang, 2021, Academic radiology.

Nuclear and Plasma Sciences

Alejandro F Frangi, Russell H. Taylor, Otto von Guericke, 2015 .

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.

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.

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.

Optimal beamforming in ultrasound using the ideal observer

Nghia Q. Nguyen, Craig K Abbey, Nghia Q Nguyen, 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

An ideal observer approach to beamforming

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

Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets

Andrew D. A. Maidment, M. Eckstein, C. Abbey, 2021, Current Biology.

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.

Neural decoding of collective wisdom with multi-brain computing

Craig K. Abbey, Miguel P. Eckstein, Matthew F. Peterson, 2012, NeuroImage.

Comparison of two weighted integration models for the cueing task: linear and likelihood.

Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey, 2003, Journal of vision.

A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images

Craig K. Abbey, Miguel P. Eckstein, M. A. Lago, 2019, Medical Imaging.

Conspicuity of suspicious breast lesions on contrast enhanced breast CT compared to digital breast tomosynthesis and mammography.

J. Boone, C. Abbey, K. Lindfors, 2019, The British journal of radiology.

Visual signal detectability with two noise components: anomalous masking effects.

A E Burgess, C K Abbey, A. Burgess, 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

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.

The footprints of visual attention in the Posner cueing paradigm revealed by classification images.

Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey, 2002, Journal of vision.

Adaptation and visual search in mammographic images

M. Webster, J. Boone, C. Abbey, 2015, Attention, perception & psychophysics.

The efficiency of reading around learned backgrounds

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

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

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

Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation

Oguzhan Alagoz, Jie Liu, Yirong Wu, 2015, Journal of medical imaging.

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

Abhinav K. Jha, Md Ashequr Rahman, Barry A. Siegel, 2023, Medical Imaging.

Analyzing the effect of dose reduction on the detection of mammographic lesions using mathematical observer models

Ehsan Samei, Amarpreet S. Chawla, Craig Abbey, 2006, SPIE Medical Imaging.

Differentiation of ductal carcinoma in-situ from benign micro-calcifications by dedicated breast computed tomography.

Anita Nosratieh, John M Boone, Chin-Shang Li, 2016, European journal of radiology.

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.

Clutter filtering strategies for peripheral muscle perfusion imaging using ultrasound

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

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.

Visual adaptation and the amplitude spectra of radiological images

M. Webster, J. Boone, C. Abbey, 2018, Cognitive research: principles and implications.

DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT

Abhinav K. Jha, Md Ashequr Rahman, Barry A. Siegel, 2023, ArXiv.

Sequential reading effects in Dutch screening mammography

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

Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies.

Anita Nosratieh, John M Boone, Craig K Abbey, 2012, Medical physics.

X2 isocontours: predictors of performance in nonlinear estimation tasks at low SNR

Stefan P. Mueller, Marie F. Kijewski, Stephen C. Moore, 1997, Medical Imaging.

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

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

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

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

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

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

Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.

Peymon Ghazi, Andrew M Hernandez, Craig Abbey, 2019, Medical physics.

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.

Analysis of minimum-variance and Wiener-filtered beamforming strategies

Nghia Q. Nguyen, C. K. Abbey, M. F. Insanaa, 2011, 2011 IEEE International Ultrasonics Symposium.

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

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

Automated computer evaluation and optimization of image compression of x-ray coronary angiograms for signal known exactly detection tasks.

Jay Bartroff, Miguel Eckstein, Craig Abbey, 2003, Optics express.

Using Relative Statistics and Approximate Disease Prevalence to Compare Screening Tests

C. Abbey, F. Samuelson, 2016, The international journal of biostatistics.

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.

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

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

Some unlikely properties of the likelihood ratio and its logarithm

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

Bayesian Detection of Random Signals on Random Backgrounds

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

Classification images for simple detection and discrimination tasks in correlated noise.

Miguel P Eckstein, Craig K Abbey, M. Eckstein, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

CMR 2007: 4.04: Improved molecular imaging probe for in vivo detection of the integrin αvβ6

C. Abbey, R. Bold, J. Sutcliffe, 2007 .

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

Abhinav K. Jha, Md Ashequr Rahman, Barry A. Siegel, 2023, Medical Imaging.

Human linear template with mammographic backgrounds estimated with a genetic algorithm.

Cyril Castella, Karen Kinkel, Miguel P Eckstein, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

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

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

Discrimination tasks in simulated low-dose CT noise.

J. Boone, M. Eckstein, C. Abbey, 2023, Medical physics.

Comparative observer effects in 2D and 3D localization tasks

M. Eckstein, C. Abbey, M. Lago, 2021, Journal of medical imaging.

Human observer templates for lesion discrimination tasks

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

Classification images for localization performance in ramp-spectrum noise.

Rongping Zeng, John M Boone, Miguel P Eckstein, 2018, Medical physics.

Approximate maximum likelihood estimation of scanning observer templates

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

Observer efficiency in free-localization tasks with correlated noise

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

Classification images aid understanding of visual task performance and diagnosis

C. Abbey, 2013 .

Nodule detection in two-component noise: toward patient structure

Craig K. Abbey, Arthur E. Burgess, Xing Li, 1997, Medical Imaging.

Learning cue validity through performance feedback.

Jason A. Droll, M. Eckstein, C. Abbey, 2009, Journal of vision.

Effects of frequency and bandwidth on diagnostic information transfer in ultrasonic B-Mode imaging

C. K. Abbey, N. Q. Nguyen, M. F. Insana, 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

Contrast and stimulus information effects in rapid learning of a visual task.

Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey, 2008, Journal of vision.

Targeted in vivo imaging of integrin alphavbeta6 with an improved radiotracer and its relevance in a pancreatic tumor model.

C. Abbey, R. Bold, J. Sutcliffe, 2009, Cancer research.

Partial sums of orthonormal bases preserving positivity—And martingales

C. Abbey, J. Denny, 1998 .

Linear system models for ultrasonic imaging: application to signal statistics

M.F. Insana, R.J. Zemp, C.K. Abbey, 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

Detection performance theory for ultrasound imaging systems

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

Improved detection of simulated thrombus by layer decomposition of coronary angiograms

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

Layer decomposition of coronary angiograms

Craig K. Abbey, Robert A. Close, James Stuart Whiting, 2000, Medical Imaging: Image Processing.

Measures of performance in nonlinear estimation tasks: prediction of estimation performance at low signal-to-noise ratio

Craig K Abbey, Frank J Rybicki, Marie Foley Kijewski, 2005, Physics in medicine and biology.

Evaluation of non-Gaussian statistical properties in virtual breast phantoms

Andrew D. A. Maidment, John M Boone, Miguel P Eckstein, 2019, Journal of 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.

Stimulus information contaminates summation tests of independent neural representations of features.

Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey, 2002, Journal of vision.

Adaptive detection mechanisms in globally statistically nonstationary-oriented noise.

Miguel P Eckstein, Craig K Abbey, Yani Zhang, 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

Observer performance detecting signals in globally non-stationary oriented noise

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

Generalized NEQ for assessment of ultrasound image quality

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

Human vs model observers in anatomic backgrounds

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

Adaptation Aftereffects in the Perception of Radiological Images

M. Webster, J. Boone, C. Abbey, 2012, PloS one.

Microcalcification detectability in breast CT images using CNN observers.

Andrew M. Hernandez, C. Abbey, S. Lyu, 2023, Medical physics.

Combining Spatial Registration With Clutter Filtering for Power-Doppler Imaging in Peripheral Perfusion Applications

C. Abbey, M. Insana, Bingze Dai, 2022, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

A utility/cost analysis of breast cancer risk prediction algorithms

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

Computer aided detection of masses in mammography using subregion Hotelling observers.

Craig K Abbey, David M Catarious, Alan H Baydush, 2003, Medical physics.

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 .