29 citations · 40 across the 8 of their papers we have counts for
4 papers · 1 filter
D2IP: Deep Dynamic Image Prior for 3D Time-sequence Pulmonary Impedance Imaging
Hao Fang, Hao Yu, Sihao Teng +5
Unsupervised learning methods, such as Deep Image Prior (DIP), have shown great potential in tomographic imaging due to their training-data-free nature and high generalization capa…
Multi-frequency Electrical Impedance Tomography Reconstruction with Multi-Branch Attention Image Prior
Hao Fang, Zhe Liu, Yi Feng +3
Multi-frequency Electrical Impedance Tomography (mfEIT) is a promising biomedical imaging technique that estimates tissue conductivities across different frequencies. Current state…
Regularized Shallow Image Prior for Electrical Impedance Tomography
Zhe Liu, Zhou Chen, Qi Wang +2
Untrained Neural Network Prior (UNNP) based algorithms have gained increasing popularity in tomographic imaging, as they offer superior performance compared to hand-crafted priors…
Impedance-optical Dual-modal Cell Culture Imaging with Learning-based Information Fusion
Zhe Liu, Pierre Bagnaninchi, Yunjie Yang
While Electrical Impedance Tomography (EIT) has found many biomedicine applications, a better resolution is needed to provide quantitative analysis for tissue engineering and regen…