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2020 – today
- 2024
[i3]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 abs/2405.00144 (2024)- [i2]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 abs/2405.14720 (2024) - 2023
- [j15]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): 2176-2188 (2023) - [c36]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. Image Perception, Observer Performance, and Technology Assessment 2023 - [c35]Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey:
Discriminability of non-Gaussian noise properties in CT. Image Perception, Observer Performance, and Technology Assessment 2023 - [i1]Md. Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha:
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. CoRR abs/2306.04249 (2023) - 2022
- [c34]Craig K. Abbey, Junyuan Li, Grace J. Gang, J. Webster Stayman:
Assessment of boundary discrimination performance in a printed phantom. Image Perception, Observer Performance, and Technology Assessment 2022 - [c33]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c32]Luuk J. Oostveen, Kirsten L. Boedeker, Daniel W. Shin, Craig K. Abbey, Ioannis Sechopoulos:
Visibility of noise texture changes in CT images. Image Perception, Observer Performance, and Technology Assessment 2022 - [c31]Sourya Sengupta, Craig K. Abbey, Kaiyan Li, Mark A. Anastasio:
Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j14]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): 1021-1031 (2021) - [j13]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): 3436-3445 (2021) - [c30]Iris Lorente, Craig K. Abbey, Jovan G. Brankov:
CNN based anthropomorphic model observer for defect localization. Image Perception, Observer Performance, and Technology Assessment 2021 - [c29]Iris Lorente, Craig K. Abbey, Jovan G. Brankov:
Understanding CNN based anthropomorphic model observer using classification images. Image Perception, Observer Performance, and Technology Assessment 2021 - 2020
- [c28]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Human observer templates for lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment 2020: 113160U - [c27]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. Image Perception, Observer Performance, and Technology Assessment 2020: 113160G - [c26]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. Image Perception, Observer Performance, and Technology Assessment 2020: 113160E - [c25]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. Image Perception, Observer Performance, and Technology Assessment 2020: 113160V - [c24]Iris Lorente, Craig K. Abbey, Jovan G. Brankov:
Deep learning based model observer by U-Net. Image Perception, Observer Performance, and Technology Assessment 2020: 113160F - [c23]Hui Shi, Grace J. Gang, Junyuan Li, Eleni Liapi, Craig K. Abbey, J. Webster Stayman:
Performance assessment of texture reproduction in high-resolution CT. Image Perception, Observer Performance, and Technology Assessment 2020: 113160R - [c22]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. Image Perception, Observer Performance, and Technology Assessment 2020: 1131617
2010 – 2019
- 2019
- [c21]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. Image Perception, Observer Performance, and Technology Assessment 2019: 109520D - [c20]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Template models for forced-localization tasks. Image Perception, Observer Performance, and Technology Assessment 2019: 1095206 - 2018
- [c19]Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein:
Observer templates in 2D and 3D localization tasks. Image Perception, Observer Performance, and Technology Assessment 2018: 105770T - [c18]Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey:
Evaluation of search strategies for microcalcifications and masses in 3D images. Image Perception, Observer Performance, and Technology Assessment 2018: 105770C - [c17]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. Image Perception, Observer Performance, and Technology Assessment 2018: 105770X - [c16]Frank W. Samuelson, Craig K. Abbey, Xin He:
Analyzing ROC curves using the effective set-size model. Image Perception, Observer Performance, and Technology Assessment 2018: 105770E - 2016
- [j12]Adam Wunderlich, Bart Goossens, Craig K. Abbey:
Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves. IEEE Trans. Medical Imaging 35(9): 2164-2173 (2016) - [c15]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. Image Perception, Observer Performance, and Technology Assessment 2016: 97871J - [c14]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. Image Perception, Observer Performance, and Technology Assessment 2016: 978706 - [e1]Craig K. Abbey, Matthew A. Kupinski:
Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February - 3 March 2016. SPIE Proceedings 9787, SPIE 2016, ISBN 9781510600225 [contents] - 2015
- [j11]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): 1428-1435 (2015) - 2013
- [j10]Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana:
Objective Assessment of Sonographic Quality I: Task Information. IEEE Trans. Medical Imaging 32(4): 683-690 (2013) - [j9]Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana:
Objective Assessment of Sonographic: Quality II Acquisition Information Spectrum. IEEE Trans. Medical Imaging 32(4): 691-698 (2013) - 2012
- [j8]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): 94-108 (2012) - [c13]Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana:
Acquisition information spectrum for evaluating sonographic quality. EMBC 2012: 2302-2305 - [c12]Craig K. Abbey, Nghia Q. Nguyen, William D. O'Brien Jr., Michael F. Insana:
An ideal observer approach to mechanical limits in b-mode ultrasound imaging. EMBC 2012: 2306-2309 - [c11]Craig K. Abbey, Miguel P. Eckstein:
Modeling observer performance for optimizing medical image acquisition and processing. Human Vision and Electronic Imaging 2012: 82910S - 2011
- [j7]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): 28-37 (2011) - 2010
- [c10]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: 591-597
2000 – 2009
- 2008
- [c9]Craig K. Abbey, John M. Boone:
An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue. Digital Mammography / IWDM 2008: 393-400 - 2006
- [j6]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): 198-209 (2006) - 2005
- [j5]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): 300-310 (2005) - 2003
- [c8]Roger J. Zemp, Craig K. Abbey, Michael F. Insana:
Ideal Observer Model for Detection of Blood Perfusion and Flow Using Ultrasound. IPMI 2003: 318-329 - [c7]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. Image Processing 2003 - 2002
- [j4]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): 429-440 (2002) - 2001
- [j3]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): 990-998 (2001) - [c6]Craig K. Abbey, Miguel P. Eckstein:
Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. IPMI 2001: 24-35 - [c5]Robert A. Close, Craig A. Morioka, Craig K. Abbey, James Stuart Whiting:
Improved detection of simulated thrombus by layer decomposition of coronary angiograms. Image Processing 2001 - 2000
- [j2]Jannick P. Rolland, V. Vo, B. Bloss, Craig K. Abbey:
Fast algorithms for histogram matching: Application to texture synthesis. J. Electronic Imaging 9(1): 39-45 (2000) - [c4]Robert A. Close, Craig K. Abbey, James Stuart Whiting:
Layer decomposition of coronary angiograms. Image Processing 2000
1990 – 1999
- 1999
- [c3]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. Image Processing 1999 - 1998
- [j1]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): 395-403 (1998) - 1997
- [c2]Harrison H. Barrett, Craig K. Abbey:
Bayesian Detection of Random Signals on Random Backgrounds. IPMI 1997: 155-166 - [c1]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: 167-175
Coauthor Index
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last updated on 2024-11-28 21:28 CET by the dblp team
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