15 citations · 16 across the 4 of their papers we have counts for
5 papers
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms
Tao Ge, Maria Medrano, Rui Liao +4
CT images have been used to generate radiation therapy treatment plans for more than two decades. Dual-energy CT (DECT) has shown high accuracy in estimating electronic density or…
A Machine-learning Based Initialization for Joint Statistical Iterative Dual-energy CT with Application to Proton Therapy
Tao Ge, Maria Medrano, Rui Liao +3
Dual-energy CT (DECT) has been widely investigated to generate more informative and more accurate images in the past decades. For example, Dual-Energy Alternating Minimization (DEA…
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations
Chen Qin, Bibo Shi, Rui Liao +3
We propose a fully unsupervised multi-modal deformable image registration method (UMDIR), which does not require any ground truth deformation fields or any aligned multi-modal imag…
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
Yue Zhang, Shun Miao, Tommaso Mansi +1
Automatic parsing of anatomical objects in X-ray images is critical to many clinical applications in particular towards image-guided invention and workflow automation. Existing dee…
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
Shun Miao, Sebastien Piat, Peter Fischer +4
2D/3D image registration to align a 3D volume and 2D X-ray images is a challenging problem due to its ill-posed nature and various artifacts presented in 2D X-ray images. In this p…