Craig K. Abbey

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 30

Top Topics

Discriminatory Power

Top Venues

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

IEEE Trans. Medical Imaging

Publications

Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein
Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. CoRR (2024)
Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR (2024)
Md Ashequr Rahman, Zitong Yu, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. CoRR (2023)
Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. IEEE Trans. Medical Imaging 42 (8) (2023)
Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey
Discriminability of non-Gaussian noise properties in CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
Predictive accuracy of model observers in lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
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
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Sourya Sengupta, Craig K. Abbey, Kaiyan Li, Mark A. Anastasio
Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Luuk J. Oostveen, Kirsten L. Boedeker, Daniel W. Shin, Craig K. Abbey, Ioannis Sechopoulos
Visibility of noise texture changes in CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Craig K. Abbey, Junyuan Li, Grace J. Gang, J. Webster Stayman
Assessment of boundary discrimination performance in a printed phantom. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Iris Lorente, Craig K. Abbey, Jovan G. Brankov
CNN based anthropomorphic model observer for defect localization. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Iris Lorente, Craig K. Abbey, Jovan G. Brankov
Understanding CNN based anthropomorphic model observer using classification images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
Foveated Model Observers for Visual Search in 3D Medical Images. IEEE Trans. Medical Imaging 40 (3) (2021)
Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment
Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. IEEE Trans. Medical Imaging 40 (12) (2021)
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
Human observer templates for lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Fenglei Fan, Sangtae Ahn, Bruno De Man, Kristen A. Wangerin, Scott D. Wollenweber, Craig K. Abbey, Paul E. Kinahan
Deep learning-based model observers that replicate human observers for PET imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Hui Shi, Grace J. Gang, Junyuan Li, Eleni Liapi, Craig K. Abbey, J. Webster Stayman
Performance assessment of texture reproduction in high-resolution CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Iris Lorente, Craig K. Abbey, Jovan G. Brankov
Deep learning based model observer by U-Net. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Craig K. Abbey, Michael A. Webster, Tanya D. Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos
Sequential reading effects in Dutch screening mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
Template models for forced-localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Frank W. Samuelson, Craig K. Abbey, Xin He
Analyzing ROC curves using the effective set-size model. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein
Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey
Evaluation of search strategies for microcalcifications and masses in 3D images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein
Observer templates in 2D and 3D localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Craig K. Abbey, Yirong Wu, Elizabeth S. Burnside, Adam Wunderlich, Frank W. Samuelson, John M. Boone
A utility/cost analysis of breast cancer risk prediction algorithms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Adam Wunderlich, Bart Goossens, Craig K. Abbey
Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves. IEEE Trans. Medical Imaging 35 (9) (2016)
Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Iván Díaz, Craig K. Abbey, Pontus A. S. Timberg, Miguel P. Eckstein, Francis R. Verdun, Cyril Castella, François O. Bochud
Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels. IEEE Trans. Medical Imaging 34 (7) (2015)
Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
Objective Assessment of Sonographic Quality I: Task Information. IEEE Trans. Medical Imaging 32 (4) (2013)
Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
Objective Assessment of Sonographic: Quality II Acquisition Information Spectrum. IEEE Trans. Medical Imaging 32 (4) (2013)
Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
Acquisition information spectrum for evaluating sonographic quality. EMBC (2012)
Miguel P. Eckstein, Koel Das, Binh T. Pham, Matthew F. Peterson, Craig K. Abbey, Jocelyn L. Sy, Barry Giesbrecht
Neural decoding of collective wisdom with multi-brain computing. NeuroImage 59 (1) (2012)
Craig K. Abbey, Nghia Q. Nguyen, William D. O'Brien, Michael F. Insana
An ideal observer approach to mechanical limits in b-mode ultrasound imaging. EMBC (2012)
Craig K. Abbey, Miguel P. Eckstein
Modeling observer performance for optimizing medical image acquisition and processing. Human Vision and Electronic Imaging (2012)
Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
An Adaptive Filter to Approximate the Bayesian Strategy for Sonographic Beamforming. IEEE Trans. Medical Imaging 30 (1) (2011)
John M. Boone, Nathan J. Packard, Craig K. Abbey
Ideal Observer Comparison between Tomographic and Projection x-Ray Images of the Breast. Digital Mammography / IWDM (2010)
Craig K. Abbey, John M. Boone
An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue. Digital Mammography / IWDM (2008)
Craig K. Abbey, Roger J. Zemp, Jie Liu, K. K. Lindfors, Michael F. Insana
Observer efficiency in discrimination tasks Simulating Malignant and benign breast lesions imaged with ultrasound. IEEE Trans. Medical Imaging 25 (2) (2006)
Roger J. Zemp, Michael D. Parry, Craig K. Abbey, Michael F. Insana
Detection performance theory for ultrasound imaging systems. IEEE Trans. Medical Imaging 24 (3) (2005)
Roger J. Zemp, Craig K. Abbey, Michael F. Insana
Ideal Observer Model for Detection of Blood Perfusion and Flow Using Ultrasound. IPMI (2003)
David Mark Catarious, Alan H. Baydush, Craig K. Abbey, Carey E. Floyd Jr.
A mammographic mass CAD system incorporating features from shape, fractal, and channelized Hotelling observer measurements: preliminary results. Medical Imaging: Image Processing (2003)
Craig K. Abbey, Miguel P. Eckstein
Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments. IEEE Trans. Medical Imaging 21 (5) (2002)
Craig K. Abbey, Miguel P. Eckstein
Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. IPMI (2001)
Robert A. Close, Craig A. Morioka, Craig K. Abbey, James Stuart Whiting
Improved detection of simulated thrombus by layer decomposition of coronary angiograms. Medical Imaging: Image Processing (2001)
Robert A. Close, Craig K. Abbey, Craig A. Morioka, James S. Whiting
Accuracy Assessment of Layer Decomposition Using Simulated Angiographic Image Sequences. IEEE Trans. Medical Imaging 20 (10) (2001)
Robert A. Close, Craig K. Abbey, James Stuart Whiting
Layer decomposition of coronary angiograms. Medical Imaging: Image Processing (2000)
Jannick P. Rolland, V. Vo, B. Bloss, Craig K. Abbey
Fast algorithms for histogram matching: Application to texture synthesis. J. Electronic Imaging 9 (1) (2000)
Craig A. Morioka, François O. Bochud, Craig K. Abbey, Miguel P. Eckstein, James Stuart Whiting
Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography. Medical Imaging: Image Processing (1999)
Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model. Medical Image Anal. 2 (4) (1998)
Harrison H. Barrett, Craig K. Abbey
Bayesian Detection of Random Signals on Random Backgrounds. IPMI (1997)
Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model. IPMI (1997)