5 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…
Physics-informed generative real-time lens-free imaging
Ronald B. Liu, Zhe Liu, Max G. A. Wolf +7
Advancements in high-throughput biomedical applications require real-time, large field-of-view (FOV) imaging. While current 2D lens-free imaging (LFI) systems improve FOV, they are…
Learning-enhanced electronic skin for tactile sensing on deformable surface based on electrical impedance tomography
Huazhi Dong, Xiaopeng Wu, Delin Hu +3
Electrical Impedance Tomography (EIT)-based tactile sensors offer cost-effective and scalable solutions for robotic sensing, especially promising for soft robots. However a major i…
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…