Articles with public access mandates - Weimin ZhouLearn more
Not available anywhere: 7
Task-based performance evaluation of deep neural network-based image denoising
K Li, W Zhou, H Li, MA Anastasio
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
Mandates: US National Institutes of Health
SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks
JL Granstedt, VA Kelkar, W Zhou, MA Anastasio
Medical Imaging 2021: Image Processing 11596, 329-335, 2021
Mandates: US National Science Foundation, US National Institutes of Health
Learning efficient channels with a dual loss autoencoder
JL Granstedt, W Zhou, MA Anastasio
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Joint-reconstruction-enabled data acquisition design for single-shot edge-illumination x-ray phase-contrast tomography
Y Chen, W Zhou, MA Anastasio
Medical Imaging 2018: Physics of Medical Imaging 10573, 522-527, 2018
Mandates: US National Institutes of Health
Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers
K Li, W Zhou, H Li, MA Anastasio
Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023
Mandates: US Department of Defense, US National Institutes of Health
Analyzing neural networks applied to an anatomical simulation of the breast
CK Abbey, S Sengupta, W Zhou, A Badal, R Zeng, FW Samuelson, ...
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
Mandates: US National Institutes of Health
A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction
JP Phillips, EY Sidky, G Ongie, W Zhou, JP Cruz-Bastida, IS Reiser, ...
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
Mandates: US National Institutes of Health
Available somewhere: 15
Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging
Y Lou, W Zhou, TP Matthews, CM Appleton, MA Anastasio
Journal of biomedical optics 22 (4), 041015-041015, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Approximating the ideal observer and hotelling observer for binary signal detection tasks by use of supervised learning methods
W Zhou, H Li, MA Anastasio
IEEE transactions on medical imaging 38 (10), 2456-2468, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks
K Li, W Zhou, H Li, MA Anastasio
IEEE Transactions on Medical Imaging 40 (9), 2295-2305, 2021
Mandates: US National Institutes of Health
Approximating the ideal observer for joint signal detection and localization tasks by use of supervised learning methods
W Zhou, H Li, MA Anastasio
IEEE transactions on medical imaging 39 (12), 3992-4000, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Markov-chain monte carlo approximation of the ideal observer using generative adversarial networks
W Zhou, MA Anastasio
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio
Journal of Medical Imaging 9 (1), 015503-015503, 2022
Mandates: US National Science Foundation, US Department of Defense, US National …
A hybrid approach for approximating the ideal observer for joint signal detection and estimation tasks by use of supervised learning and markov-chain monte carlo methods
K Li, W Zhou, H Li, MA Anastasio
IEEE transactions on medical imaging 41 (5), 1114-1124, 2021
Mandates: US National Institutes of Health
Supervised learning-based ideal observer approximation for joint detection and estimation tasks
K Li, W Zhou, H Li, MA Anastasio
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
Mandates: US National Institutes of Health
A signal detection model for quantifying overregularization in nonlinear image reconstruction
EY Sidky, JP Phillips, W Zhou, G Ongie, JP Cruz‐Bastida, IS Reiser, ...
Medical physics 48 (10), 6312-6323, 2021
Mandates: US National Institutes of Health
Learning numerical observers using unsupervised domain adaptation
S He, W Zhou, H Li, MA Anastasio
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements
W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Advancing the AmbientGAN for learning stochastic object models
W Zhou, S Bhadra, FJ Brooks, JL Granstedt, H Li, MA Anastasio
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
Mandates: US National Science Foundation, US National Institutes of Health
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks
W Zhou, U Villa, M Anastasio
IEEE Transactions on Medical Imaging 42 (12), 3715-3724, 2023
Mandates: US National Institutes of Health
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