1 citations · 1 across the 4 of their papers we have counts for
4 papers
Learned Regularization for Microwave Tomography
Bowen Tong, Hao Chen, Shaorui Guo +1
Microwave Tomography (MWT) aims to reconstruct the dielectric properties of tissues from measured scattered electromagnetic fields. This inverse problem is highly nonlinear and ill…
Physics-Driven Neural Compensation For Electrical Impedance Tomography
Chuyu Wang, Huiting Deng, Dong Liu
Electrical Impedance Tomography (EIT) provides a non-invasive, portable imaging modality with significant potential in medical and industrial applications. Despite its advantages,…
SDEIT: Semantic-Driven Electrical Impedance Tomography
Dong Liu, Yuanchao Wu, Bowen Tong +1
Regularization methods using prior knowledge are essential in solving ill-posed inverse problems such as Electrical Impedance Tomography (EIT). However, designing effective regular…
Diff-INR: Generative Regularization for Electrical Impedance Tomography
Bowen Tong, Junwu Wang, Dong Liu
Electrical Impedance Tomography (EIT) is a non-invasive imaging technique that reconstructs conductivity distributions within a body from boundary measurements. However, EIT recons…