Xihe Kuang

According to our database, Xihe Kuang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MobileSpine: A Mobile-based 3D Reconstruction System for Remote Scoliosis Assessment.

Tao Huang, Xihe Kuang, Nan Meng, Teng Zhang

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2025

2024

Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation.

Yang Li, Lingfu Xu, Yizhu Jin, Xihe Kuang, Yue Zhang, Weigang Cui, Teng Zhang

IEEE Trans. Instrum. Meas., 2024

2023

SpineQ: Unsupervised 3D Lumbar Quantitative Assessment.

Xihe Kuang, Jason Pui Yin Cheung, Tao Huang, Teng Zhang

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.

Yang Li, Yue Zhang, Wei-Gang Cui, Baiying Lei, Xihe Kuang, Teng Zhang

IEEE Trans. Medical Imaging, 2022

Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation.

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

Comput. Medical Imaging Graph., 2022

2021

SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset.

Xihe Kuang, Jason Pui Yin Cheung, Xiaowei Ding, Teng Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images.

Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020