3 papers
cs.LG2026
Neural Operators for Biomedical Spherical Heterogeneity
Hao Tang, Hao Chen, Hao Li +1
Spherical deep learning has been widely applied to a broad range of real-world problems. Existing approaches often face challenges in balancing strong spherical geometric inductive…
cs.LG2025
Geometric Laplace Neural Operator
Hao Tang, Jiongyu Zhu, Zimeng Feng +2
Neural operators have emerged as powerful tools for learning mappings between function spaces, enabling efficient solutions to partial differential equations across varying inputs…
cs.CV2025
FOD-Diff: 3D Multi-Channel Patch Diffusion Model for Fiber Orientation Distribution
Hao Tang, Hanyu Liu, Alessandro Perelli +2
Diffusion MRI (dMRI) is a critical non-invasive technique to estimate fiber orientation distribution (FOD) for characterizing white matter integrity. Estimating FOD from single-she…