Craig K. Abbey

56 papers B 4Journal 19Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CTLESS: A Scatter-Window Projection and Deep Learning-Based Transmission-Less Attenuation Compensation Method for Myocardial Perfusion SPECT. IEEE Trans. Medical Imaging Zitong Yu, Md. Ashequr Rahman, Craig K. Abbey, Richard Laforest, Nancy A. Obuchowski, Barry A. Siegel, Abhinav K. Jha
2024	J	`jnl`	Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein
2024	J	`jnl`	Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. CoRR Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein
2023	J	`jnl`	A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. IEEE Trans. Medical Imaging Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2023	J	`jnl`	DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. CoRR Md. Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha
2023	—	`conf`	Discriminability of non-Gaussian noise properties in CT. Image Perception, Observer Performance, and Technology Assessment Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey
2023	—	`conf`	Predictive accuracy of model observers in lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2022	—	`conf`	Analyzing neural networks applied to an anatomical simulation of the breast. Image Perception, Observer Performance, and Technology Assessment 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
2022	—	`conf`	Assessment of boundary discrimination performance in a printed phantom. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Junyuan Li, Grace J. Gang, J. Webster Stayman
2022	—	`conf`	Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers. Image Perception, Observer Performance, and Technology Assessment Sourya Sengupta, Craig K. Abbey, Kaiyan Li, Mark A. Anastasio
2022	—	`conf`	Visibility of noise texture changes in CT images. Image Perception, Observer Performance, and Technology Assessment Luuk J. Oostveen, Kirsten L. Boedeker, Daniel W. Shin, Craig K. Abbey, Ioannis Sechopoulos
2021	—	`conf`	CNN based anthropomorphic model observer for defect localization. Image Perception, Observer Performance, and Technology Assessment Iris Lorente, Craig K. Abbey, Jovan G. Brankov
2021	J	`jnl`	Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. IEEE Trans. Medical Imaging Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment
2021	J	`jnl`	Foveated Model Observers for Visual Search in 3D Medical Images. IEEE Trans. Medical Imaging Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2021	—	`conf`	Understanding CNN based anthropomorphic model observer using classification images. Image Perception, Observer Performance, and Technology Assessment Iris Lorente, Craig K. Abbey, Jovan G. Brankov
2020	—	`conf`	Deep learning based model observer by U-Net. Image Perception, Observer Performance, and Technology Assessment Iris Lorente, Craig K. Abbey, Jovan G. Brankov
2020	—	`conf`	Deep learning-based model observers that replicate human observers for PET imaging. Image Perception, Observer Performance, and Technology Assessment Fenglei Fan, Sangtae Ahn, Bruno De Man, Kristen A. Wangerin, Scott D. Wollenweber, Craig K. Abbey, Paul E. Kinahan
2020	—	`conf`	Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
2020	—	`conf`	Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
2020	—	`conf`	Human observer templates for lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2020	—	`conf`	Performance assessment of texture reproduction in high-resolution CT. Image Perception, Observer Performance, and Technology Assessment Hui Shi, Grace J. Gang, Junyuan Li, Eleni Liapi, Craig K. Abbey, J. Webster Stayman
2020	—	`conf`	Sequential reading effects in Dutch screening mammography. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Michael A. Webster, Tanya D. Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos
2019	—	`conf`	A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2019	—	`conf`	Template models for forced-localization tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2018	—	`conf`	Analyzing ROC curves using the effective set-size model. Image Perception, Observer Performance, and Technology Assessment Frank W. Samuelson, Craig K. Abbey, Xin He
2018	—	`conf`	Evaluation of search strategies for microcalcifications and masses in 3D images. Image Perception, Observer Performance, and Technology Assessment Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey
2018	—	`conf`	Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein
2018	—	`conf`	Observer templates in 2D and 3D localization tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein
2016	—	`conf`	A utility/cost analysis of breast cancer risk prediction algorithms. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Yirong Wu, Elizabeth S. Burnside, Adam Wunderlich, Frank W. Samuelson, John M. Boone
2016	—	`conf`	Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Image Perception, Observer Performance, and Technology Assessment Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
2016	—	`ed.`	Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February - 3 March 2016 Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Matthew A. Kupinski
2016	J	`jnl`	Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves. IEEE Trans. Medical Imaging Adam Wunderlich, Bart Goossens, Craig K. Abbey
2015	J	`jnl`	Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels. IEEE Trans. Medical Imaging Iván Díaz, Craig K. Abbey, Pontus A. S. Timberg, Miguel P. Eckstein, Francis R. Verdun, Cyril Castella, François O. Bochud
2013	J	`jnl`	Objective Assessment of Sonographic Quality I: Task Information. IEEE Trans. Medical Imaging Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
2013	J	`jnl`	Objective Assessment of Sonographic: Quality II Acquisition Information Spectrum. IEEE Trans. Medical Imaging Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
2012	—	`conf`	Acquisition information spectrum for evaluating sonographic quality. EMBC Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
2012	—	`conf`	An ideal observer approach to mechanical limits in b-mode ultrasound imaging. EMBC Craig K. Abbey, Nghia Q. Nguyen, William D. O'Brien Jr., Michael F. Insana
2012	—	`conf`	Modeling observer performance for optimizing medical image acquisition and processing. Human Vision and Electronic Imaging Craig K. Abbey, Miguel P. Eckstein
2012	J	`jnl`	Neural decoding of collective wisdom with multi-brain computing. NeuroImage Miguel P. Eckstein, Koel Das, Binh T. Pham, Matthew F. Peterson, Craig K. Abbey, Jocelyn L. Sy, Barry Giesbrecht
2011	J	`jnl`	An Adaptive Filter to Approximate the Bayesian Strategy for Sonographic Beamforming. IEEE Trans. Medical Imaging Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana
2010	—	`conf`	Ideal Observer Comparison between Tomographic and Projection x-Ray Images of the Breast. Digital Mammography / IWDM John M. Boone, Nathan J. Packard, Craig K. Abbey
2008	—	`conf`	An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue. Digital Mammography / IWDM Craig K. Abbey, John M. Boone
2006	J	`jnl`	Observer efficiency in discrimination tasks Simulating Malignant and benign breast lesions imaged with ultrasound. IEEE Trans. Medical Imaging Craig K. Abbey, Roger J. Zemp, Jie Liu, K. K. Lindfors, Michael F. Insana
2005	J	`jnl`	Detection performance theory for ultrasound imaging systems. IEEE Trans. Medical Imaging Roger J. Zemp, Michael D. Parry, Craig K. Abbey, Michael F. Insana
2003	B	`conf`	A mammographic mass CAD system incorporating features from shape, fractal, and channelized Hotelling observer measurements: preliminary results. Image Processing David Mark Catarious, Alan H. Baydush, Craig K. Abbey, Carey E. Floyd Jr.
2003	—	`conf`	Ideal Observer Model for Detection of Blood Perfusion and Flow Using Ultrasound. IPMI Roger J. Zemp, Craig K. Abbey, Michael F. Insana
2002	J	`jnl`	Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments. IEEE Trans. Medical Imaging Craig K. Abbey, Miguel P. Eckstein
2001	J	`jnl`	Accuracy Assessment of Layer Decomposition Using Simulated Angiographic Image Sequences. IEEE Trans. Medical Imaging Robert A. Close, Craig K. Abbey, Craig A. Morioka, James S. Whiting
2001	B	`conf`	Improved detection of simulated thrombus by layer decomposition of coronary angiograms. Image Processing Robert A. Close, Craig A. Morioka, Craig K. Abbey, James Stuart Whiting
2001	—	`conf`	Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. IPMI Craig K. Abbey, Miguel P. Eckstein
2000	J	`jnl`	Fast algorithms for histogram matching: Application to texture synthesis. J. Electronic Imaging Jannick P. Rolland, V. Vo, B. Bloss, Craig K. Abbey
2000	B	`conf`	Layer decomposition of coronary angiograms. Image Processing Robert A. Close, Craig K. Abbey, James Stuart Whiting
1999	B	`conf`	Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography. Image Processing Craig A. Morioka, François O. Bochud, Craig K. Abbey, Miguel P. Eckstein, James Stuart Whiting
1998	J	`jnl`	A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model. Medical Image Anal. Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
1997	—	`conf`	Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model. IPMI Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
1997	—	`conf`	Bayesian Detection of Random Signals on Random Backgrounds. IPMI Harrison H. Barrett, Craig K. Abbey