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Kaiyan Li 0002
Person information
- affiliation: Xidian University, State Key Laboratory of Integrated Service Networks, Xian, China
Other persons with the same name
- Kaiyan Li 0001
— Jilin University, Key Laboratory of Geo-Exploration Instrumentation, Changchun, China
- Kaiyan Li 0003 — Johns Hopkins University, Baltimore, MD, USA
- Kaiyan Li 0004 — Hefei University of Technology, School of Mathematics, China
- Kaiyan Li 0005
— University of Science and Technology of China, Suzhou, China
- Kaiyan Li 0006 — Tongji Hospital, Tongji Medical College of HUST, Wuhan, China
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2020 – today
- 2023
- [c5]Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers. Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j3]Kaiyan Li
, Weimin Zhou
, Hua Li
, Mark A. Anastasio
:
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. IEEE Trans. Medical Imaging 41(5): 1114-1124 (2022) - [c4]Kaiyan Li, Hua Li, Mark A. Anastasio:
A task-informed model training method for deep neural network-based image denoising. Image Perception, Observer Performance, and Technology Assessment 2022 - [c3]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
- [j2]Kaiyan Li
, Weimin Zhou
, Hua Li
, Mark A. Anastasio
:
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks. IEEE Trans. Medical Imaging 40(9): 2295-2305 (2021) - [c2]Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
Supervised learning-based ideal observer approximation for joint detection and estimation tasks. Image Perception, Observer Performance, and Technology Assessment 2021 - [c1]Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
Task-based performance evaluation of deep neural network-based image denoising. Image Perception, Observer Performance, and Technology Assessment 2021
2010 – 2019
- 2019
- [j1]Kaiyan Li
, Weiying Xie
, Qian Du
, Yunsong Li:
DDLPS: Detail-Based Deep Laplacian Pansharpening for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(10): 8011-8025 (2019)
Coauthor Index
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