Articles with public access mandates - Kaiyan LiLearn more
Not available anywhere: 4
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
A task-informed model training method for deep neural network-based image denoising
K Li, H Li, MA Anastasio
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
Mandates: US Department of Defense, 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
Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers
S Sengupta, CK Abbey, K Li, MA Anastasio
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
Mandates: US National Institutes of Health
Available somewhere: 4
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
DDLPS: Detail-Based Deep Laplacian Pansharpening for Hyperspectral Imagery
K Li, W Xie, Q Du, Y Li
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 8011 - 8025, 2019
Mandates: National Natural Science Foundation of China
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
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