4 papers
Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators
Xiang Cao, Qiaoqiao Ding, Xinliang Liu +2
Ultrasound Computed Tomography (USCT) constitutes a nonlinear inverse problem with inherent ill-posedness that can benefit from regularization through diffusion generative priors.…
Bi-modality medical images synthesis by a bi-directional discrete process matching method
Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
Recently, medical image synthesis gains more and more popularity, along with the rapid development of generative models. Medical image synthesis aims to generate an unacquired imag…
Multi-Scale Frequency-Enhanced Deep D-bar Method for Electrical Impedance Tomography
Xiang Cao, Qiaoqiao Ding, Xiaoqun Zhang
The regularized D-bar method is a popular method for solving Electrical Impedance Tomography (EIT) problems due to its efficiency and simplicity. It utilizes the low-pass truncated…
A Hybrid Segmentation and D-bar Method for Electrical Impedance Tomography
Sarah Hamilton, Juan Manuel Reyes, Samuli Siltanen +1
The Regularized D-bar method for Electrical Impedance Tomography provides a rigorous mathematical approach for solving the full nonlinear inverse problem directly, i.e. without ite…