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Author

Kaichao Liang

Observed names: Kai-Chao Liang, Liang, Kaichao
Institution: Tsinghua University
ORCID: 0000-0002-9232-850X
Observed ORCID: 0000-0002-9232-850X
OpenAlex ID: A5030449177
Metal artifact reduction for practical dental computed tomography by improving interpolation‐based reconstruction with deep learning
2019 · Kaichao Liang, Li Zhang, et al. · Medical Physics · 54
Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images
2023 · Muge Du, Kaichao Liang, et al. · IEEE Transactions on Medical Imaging · 51
Improve angular resolution for sparse-view CT with residual convolutional neural network
2018 · Kaichao Liang, Yuxiang Xing, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 32
Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network
2019 · Hong-Kai Yang, Kai-Chao Liang, et al. · Nuclear Science and Techniques · 26
Comparison of projection domain, image domain, and comprehensive deep learning for sparse-view X-ray CT image reconstruction
2018 · Liang, Kaichao, Yang, Hongkai, et al. · arXiv (Cornell University) · 21
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Reduction of metal artefacts in CT with Cycle-GAN
2018 · Muge Du, Kaichao Liang, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 16
Improve 3D cone-beam CT reconstruction by slice-wise deep learning
2018 · Hongkai Yang, Kaichao Liang, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 10
A Self-supervised Deep Learning Network for Low-Dose CT Reconstruction
2018 · Kaichao Liang, Li Zhang, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 10
A Model-Based Unsupervised Deep Learning Method for Low-Dose CT Reconstruction
2020 · Kaichao Liang, Li Zhang, et al. · IEEE Access · 9
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Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods
2021 · Du, Muge, Liang, Kaichao, et al. · arXiv (Cornell University) · 6
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Reciprocal-FDK reconstruction for x-ray diffraction computed tomography
2022 · Kaichao Liang, Li Zhang, et al. · Physics in Medicine and Biology · 5
Training a low-dose CT denoising network with low-dose CT dataset: comparison of DDLN and Noise2Void
2021 · Kaichao Liang, Li Zhang, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 4
Method of sparse-view coded-aperture x-ray diffraction tomography
2023 · Kaichao Liang, Li Zhang, et al. · Physics in Medicine and Biology · 3
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Pixelated Energy-dispersive Photon-counting Detector Calibration with X-ray Diffraction
2022 · Kaichao Liang, Li Zhang, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 2
A Model-based Deep Learning Reconstruction for X-ray CT
2019 · Liang, Kaichao, Zhang, Li, et al. · arXiv (Cornell University) · 1
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A stopping criterion for iterative reconstruction of X-ray computed tomography
2020 · Yirong Yang, Kaichao Liang, et al. · SPIE Medical Imaging: Physics of Medical Imaging
Works count: 16
Citation count: 250
H-index: 9
I10-index: 8
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