3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 3 cited
Learning a Model-Driven Variational Network for Deformable Image Registration
Xi Jia, Alexander Thorley, Wei Chen +9
Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this wh…
physics.comp-ph2019
A new nonlocal forward model for diffuse optical tomography
Wenqi Lu, Jinming Duan, Joshua Deepak Veesa +1
The forward model in diffuse optical tomography (DOT) describes how light propagates through a turbid medium. It is often approximated by a diffusion equation (DE) that is numerica…
cs.CV2019
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography
Wenqi Lu, Jinming Duan, David Orive-Miguel +2
Total variation (TV) is a powerful regularization method that has been widely applied in different imaging applications, but is difficult to apply to diffuse optical tomography (DO…