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 (EMBC, 2020)

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 (MICCAI (2), 2021)

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)

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. - Yang Li 010; Yue Zhang 045; Wei-Gang Cui; Baiying Lei; Xihe Kuang; Teng Zhang (IEEE Trans. Medical Imaging, 2022)

SpineQ: Unsupervised 3D Lumbar Quantitative Assessment. - Xihe Kuang; Jason Pui Yin Cheung; Tao Huang; Teng Zhang (EMBC, 2023)

Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation. - Yang Li 010; Lingfu Xu; Yizhu Jin; Xihe Kuang; Yue Zhang 045; Weigang Cui; Teng Zhang (IEEE Trans. Instrum. Meas., 2024)

MobileSpine: A Mobile-based 3D Reconstruction System for Remote Scoliosis Assessment. - Tao Huang; Xihe Kuang; Nan Meng; Teng Zhang (CIVEMSA, 2025)