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Xihe Kuang
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2020 – today
- 2024
- [j3]Yang Li, Lingfu Xu, Yizhu Jin, Xihe Kuang, Yue Zhang, Weigang Cui, Teng Zhang:
Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [c3]Xihe Kuang, Jason PY Cheung, Tao Huang, Teng Zhang:
SpineQ: Unsupervised 3D Lumbar Quantitative Assessment. EMBC 2023: 1-4 - 2022
- [j2]Xihe Kuang, Jason Pui Yin Cheung, Kwan-Yee K. Wong, Wai Yi Lam, Chak Hei Lam, Richard W. Choy, Christopher P. Cheng, Honghan Wu, Cao Yang, Kun Wang, Yang Li, Teng Zhang:
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation. Comput. Medical Imaging Graph. 99: 102091 (2022) - [j1]Yang Li, Yue Zhang, Wei-Gang Cui, Baiying Lei, Xihe Kuang, Teng Zhang:
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. IEEE Trans. Medical Imaging 41(8): 1975-1989 (2022) - 2021
- [c2]Xihe Kuang, Jason Pui Yin Cheung, Xiaowei Ding, Teng Zhang:
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset. MICCAI (2) 2021: 145-154 - 2020
- [c1]Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang:
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. EMBC 2020: 1633-1636
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