Seguir
Weimin Zhou
Título
Citado por
Citado por
Año
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
1002017
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
722019
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
562021
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
S Bhadra, W Zhou, MA Anastasio
Medical imaging 2020: physics of medical imaging 11312, 206-213, 2020
332020
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
282020
Learning the ideal observer for SKE detection tasks by use of convolutional neural networks (Cum Laude Poster Award)
W Zhou, MA Anastasio
Medical Imaging 2018: Image Perception, Observer Performance, and Technology …, 2018
242018
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
232020
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
19*2022
Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods
W Zhou, H Li, MA Anastasio
Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019
172019
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
132021
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
132021
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
112021
Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networks
W Zhou, MA Anastasio
Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019
112019
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
102021
Learning stochastic object model from noisy imaging measurements using AmbientGANs
W Zhou, S Bhadra, F Brooks, MA Anastasio
Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019
102019
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
92020
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
72020
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs
W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio
arXiv preprint arXiv:2006.00033, 2020
62020
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
52021
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
52021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20