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2020 – today
- 2024
[j4]Rodrigo A. Lobos
, Chin-Cheng Chan, Justin P. Haldar:
New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI. IEEE Trans. Medical Imaging 43(1): 286-296 (2024)- 2023
- [c5]Chin-Cheng Chan, Jiayang Wang, Tashfa Nadeem, P. Haldar:
On Reference-Based Image Quality Assessment in Medical Image Reconstruction: Potential Pitfalls and Possible Solutions. ACSSC 2023: 36-39 - 2020
- [j3]Chi-Jui (Jerry) Ho, Chin-Cheng Chan, Homer H. Chen:
AF-Net: A Convolutional Neural Network Approach to Phase Detection Autofocus. IEEE Trans. Image Process. 29: 6386-6395 (2020)
2010 – 2019
- 2019
- [j2]Chin-Cheng Chan, Homer H. Chen:
Modeling phase shift data of phase-detection autofocus by skew-normal distribution. J. Electronic Imaging 28(3): 033001 (2019) - [c4]Chin-Cheng Chan, Homer H. Chen:
Autofocus by deep reinforcement learning. Photography, Mobile, and Immersive Imaging 2019: 1-6 - 2018
- [j1]Pin-Hsien Lee, Chin-Cheng Chan, Sheng-Lung Huang, Andrew Chen, Homer H. Chen:
Extracting Blood Vessels From Full-Field OCT Data of Human Skin by Short-Time RPCA. IEEE Trans. Medical Imaging 37(8): 1899-1909 (2018) - [c3]Chin-Cheng Chan, Homer H. Chen:
Improving the Reliability of Phase Detection Autofocus. Photography, Mobile, and Immersive Imaging 2018: 1-5 - 2017
- [c2]Chin-Cheng Chan, Shao-Kang Huang, Homer H. Chen:
Enhancement of phase detection for autofocus. ICIP 2017: 41-45 - 2016
- [c1]Pin-Hsien Lee, Chin-Cheng Chan, Sheng-Lung Huang, Andrew Chen, Homer H. Chen:
Blood vessel extraction from OCT data by short-time RPCA. ICIP 2016: 394-398
Coauthor Index
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