29 citations · 40 across the 8 of their papers we have counts for
8 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…
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…
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…
Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning
Delin Hu, Zhou Chen, Paul Baisamy +3
Tactile sensing in soft robots remains particularly challenging because of the coupling between contact and deformation information which the sensor is subject to during actuation…
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…