Craig K. Abbey

According to our database, Craig K. Abbey authored at least 54 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms.

Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein

CoRR, 2024

Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images.

Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein

CoRR, 2024

2023

A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems.

Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein

IEEE Trans. Medical Imaging, 2023

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

Md. Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha

CoRR, 2023

Discriminability of non-Gaussian noise properties in CT.

Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Predictive accuracy of model observers in lesion discrimination tasks.

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022

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

Sourya Sengupta, Craig K. Abbey, Kaiyan Li, Mark A. Anastasio

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Visibility of noise texture changes in CT images.

Luuk J. Oostveen, Kirsten L. Boedeker, Daniel W. Shin, Craig K. Abbey, Ioannis Sechopoulos

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Analyzing neural networks applied to an anatomical simulation of the breast.

Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Assessment of boundary discrimination performance in a printed phantom.

Craig K. Abbey, Junyuan Li, Grace J. Gang, J. Webster Stayman

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021

Foveated Model Observers for Visual Search in 3D Medical Images.

Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein

IEEE Trans. Medical Imaging, 2021

Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise.

Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment

IEEE Trans. Medical Imaging, 2021

Understanding CNN based anthropomorphic model observer using classification images.

Iris Lorente, Craig K. Abbey, Jovan G. Brankov

Proceedings of the Medical Imaging 2021: Image Perception, 2021

CNN based anthropomorphic model observer for defect localization.

Iris Lorente, Craig K. Abbey, Jovan G. Brankov

Proceedings of the Medical Imaging 2021: Image Perception, 2021

2020

Performance assessment of texture reproduction in high-resolution CT.

Hui Shi, Grace J. Gang, Junyuan Li, Eleni Liapi, Craig K. Abbey, J. Webster Stayman

Proceedings of the Medical Imaging 2020: Image Perception, 2020

Deep learning based model observer by U-Net.

Iris Lorente, Craig K. Abbey, Jovan G. Brankov

Proceedings of the Medical Imaging 2020: Image Perception, 2020

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

Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein

Proceedings of the Medical Imaging 2020: Image Perception, 2020

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

Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein

Proceedings of the Medical Imaging 2020: Image Perception, 2020

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

Fenglei Fan, Sangtae Ahn, Bruno De Man, Kristen A. Wangerin, Scott D. Wollenweber, Craig K. Abbey, Paul E. Kinahan

Proceedings of the Medical Imaging 2020: Image Perception, 2020

Sequential reading effects in Dutch screening mammography.

Craig K. Abbey, Michael A. Webster, Tanya D. Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos

Proceedings of the Medical Imaging 2020: Image Perception, 2020

Human observer templates for lesion discrimination tasks.

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers

Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019

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

Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein

Proceedings of the Medical Imaging 2019: Image Perception, 2019

Template models for forced-localization tasks.

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers

Proceedings of the Medical Imaging 2019: Image Perception, 2019

2018

Analyzing ROC curves using the effective set-size model.

Frank W. Samuelson, Craig K. Abbey, Xin He

Proceedings of the Medical Imaging 2018: Image Perception, 2018

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

Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein

Proceedings of the Medical Imaging 2018: Image Perception, 2018

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

Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey

Proceedings of the Medical Imaging 2018: Image Perception, 2018

Observer templates in 2D and 3D localization tasks.

Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein

Proceedings of the Medical Imaging 2018: Image Perception, 2018

2016

Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves.

Adam Wunderlich, Bart Goossens, Craig K. Abbey

IEEE Trans. Medical Imaging, 2016

Discriminatory power of common genetic variants in personalized breast cancer diagnosis.

Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

A utility/cost analysis of breast cancer risk prediction algorithms.

Craig K. Abbey, Yirong Wu, Elizabeth S. Burnside, Adam Wunderlich, Frank W. Samuelson, John M. Boone

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015

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

Iván Díaz, Craig K. Abbey, Pontus A. S. Timberg, Miguel P. Eckstein, Francis R. Verdun, Cyril Castella, François O. Bochud

IEEE Trans. Medical Imaging, 2015

2013

Objective Assessment of Sonographic: Quality II Acquisition Information Spectrum.

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

IEEE Trans. Medical Imaging, 2013

Objective Assessment of Sonographic Quality I: Task Information.

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

IEEE Trans. Medical Imaging, 2013

2012

Neural decoding of collective wisdom with multi-brain computing.

Miguel P. Eckstein, Koel Das, Binh T. Pham, Matthew F. Peterson, Craig K. Abbey, Jocelyn L. Sy, Barry Giesbrecht

NeuroImage, 2012

Modeling observer performance for optimizing medical image acquisition and processing.

Craig K. Abbey, Miguel P. Eckstein

Proceedings of the Human Vision and Electronic Imaging XVII, 2012

Acquisition information spectrum for evaluating sonographic quality.

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

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

An ideal observer approach to mechanical limits in b-mode ultrasound imaging.

Craig K. Abbey, Nghia Q. Nguyen, William D. O'Brien Jr., Michael F. Insana

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

An Adaptive Filter to Approximate the Bayesian Strategy for Sonographic Beamforming.

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

IEEE Trans. Medical Imaging, 2011

2010

Ideal Observer Comparison between Tomographic and Projection x-Ray Images of the Breast.

John M. Boone, Nathan J. Packard, Craig K. Abbey

Proceedings of the Digital Mammography, 2010

2008

An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue.

Craig K. Abbey, John M. Boone

Proceedings of the Digital Mammography, 2008

2006

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

Craig K. Abbey, Roger J. Zemp, Jie Liu, K. K. Lindfors, Michael F. Insana

IEEE Trans. Medical Imaging, 2006

2005

Detection performance theory for ultrasound imaging systems.

Roger J. Zemp, Michael D. Parry, Craig K. Abbey, Michael F. Insana

IEEE Trans. Medical Imaging, 2005

2003

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

David Mark Catarious, Alan H. Baydush, Craig K. Abbey, Carey E. Floyd Jr.

Proceedings of the Medical Imaging 2003: Image Processing, 2003

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

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

Proceedings of the Information Processing in Medical Imaging, 2003

2002

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

Craig K. Abbey, Miguel P. Eckstein

IEEE Trans. Medical Imaging, 2002

2001

Accuracy Assessment of Layer Decomposition Using Simulated Angiographic Image Sequences.

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

IEEE Trans. Medical Imaging, 2001

Improved detection of simulated thrombus by layer decomposition of coronary angiograms.

Robert A. Close, Craig A. Morioka, Craig K. Abbey, James Stuart Whiting

Proceedings of the Medical Imaging 2001: Image Processing, 2001

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

Craig K. Abbey, Miguel P. Eckstein

Proceedings of the Information Processing in Medical Imaging, 2001

2000

Fast algorithms for histogram matching: Application to texture synthesis.

Jannick P. Rolland, V. Vo, B. Bloss, Craig K. Abbey

J. Electronic Imaging, 2000

Layer decomposition of coronary angiograms.

Robert A. Close, Craig K. Abbey, James Stuart Whiting

Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999

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

Craig A. Morioka, François O. Bochud, Craig K. Abbey, Miguel P. Eckstein, James Stuart Whiting

Proceedings of the Medical Imaging 1999: Image Processing, 1999

1998

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, Stefan P. Müller, Frank J. Rybicki

Medical Image Anal., 1998

1997

Bayesian Detection of Random Signals on Random Backgrounds.

Harrison H. Barrett, Craig K. Abbey

Proceedings of the Information Processing in Medical Imaging, 1997

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

Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki

Proceedings of the Information Processing in Medical Imaging, 1997