3 papers
cs.CV2026
Dual-Manifold Geometry Guided Representation Learning: Adaptive Coupling between Kernel and Data Spaces
Wencong Zhang, Yue Zhang, Meiyan Huang +2
Deep representation learning has primarily focused on how features evolve across network layers, while largely overlooking the structured geometry embedded in network parameters. W…
eess.IV2022
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment
Tao Wang, Xiumei Chen, Xiaoling Zhang +3
Predicting whether subjects with mild cognitive impairment (MCI) will convert to Alzheimer's disease is a significant clinical challenge. Longitudinal variations and complementary…
eess.IV2022
Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images
Meiyan Huang, Shuoling Zhou, Xiumei Chen +2
Automatic segmentation of vertebral bodies (VBs) and intervertebral discs (IVDs) in 3D magnetic resonance (MR) images is vital in diagnosing and treating spinal diseases. However,…