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…
Efficient Tactile Perception with Soft Electrical Impedance Tomography and Pre-trained Transformer
Huazhi Dong, Ronald B. Liu, Sihao Teng +5
Tactile sensing is fundamental to robotic systems, enabling interactions through physical contact in multiple tasks. Despite its importance, achieving high-resolution, large-area t…
Optimized Lattice-Structured Flexible EIT Sensor for Tactile Reconstruction and Classification
Huazhi Dong, Sihao Teng, Xu Han +3
Flexible electrical impedance tomography (EIT) offers a promising alternative to traditional tactile sensing approaches, enabling low-cost, scalable, and deformable sensor designs.…
Flexible electrical impedance tomography for tactile interfaces
Huazhi Dong, Sihao Teng, Xiaopeng Wu +3
Flexible electrical impedance tomography (EIT) is an emerging technology for tactile sensing in human-machine interfaces (HMI). It offers a unique alternative to traditional array-…