1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
QuantEIT: Ultra-Lightweight Quantum-Assisted Inference for Chest Electrical Impedance Tomography
Hao Fang, Sihao Teng, Hao Yu +4
Electrical Impedance Tomography (EIT) is a non-invasive, low-cost bedside imaging modality with high temporal resolution, making it suitable for bedside monitoring. However, its in…
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…