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Bayesian Image Reconstruction Using Weighted Laplace Prior for Lung Respiratory Monitoring With Electrical Impedance Tomography

https://doi.org/10.1109/tim.2022.3220279

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Piecewise constant level-set enhanced active shape reconstruction for electrical impedance tomography

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Tracking boundary movement and exterior shape modelling in lung EIT imaging

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Electrical impedance tomography: regularized imaging and contrast detection

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Tikhonov regularization and prior information in electrical impedance tomography

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High-Speed and Accurate Meat Composition Imaging by Mechanically-Flexible Electrical Impedance Tomography With k-Nearest Neighbor and Fuzzy k-Means Machine Learning Approaches

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Block Sparse Bayesian Learning Using Weighted Laplace Prior for Super-Resolution Estimation of Multi-Path Parameters

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An Improved Tikhonov Regularization Method for Lung Cancer Monitoring Using Electrical Impedance Tomography

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Bayesian Shape Reconstruction Using B-Spline Level Set in Electrical Impedance Tomography

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Hand Gesture Recognition Using Three-Dimensional Electrical Impedance Tomography

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Efficient Multitask Structure-Aware Sparse Bayesian Learning for Frequency-Difference Electrical Impedance Tomography

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A Two-Stage Deep Learning Method for Robust Shape Reconstruction With Electrical Impedance Tomography

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Supershape Recovery From Electrical Impedance Tomography Data

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Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography

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Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma

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inferredcites →https://doi.org/10.1109/tmi.2018.2857839openalex-snapshot

A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography

inferredcites →https://doi.org/10.1109/tmi.2019.2900031openalex-snapshot

A Statistical Shape-Constrained Reconstruction Framework for Electrical Impedance Tomography

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Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Real-Time 3D Electrical Impedance Tomography Based on Deep Learning

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Advanced ensemble learning method for electrical impedance tomography image reconstruction

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A fast 3D lung image reconstruction method based on CT pixel matrices learning with electrical impedance tomography

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Investigating a novel 3D-printed electrical impedance tomography sensor for monitoring the interaction pressure on a customized physical interface in wearable robots

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AMPFF-Net: An adaptive multi-parameter feature fusion network for stable and high-quality electrical impedance tomography

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Advances in Electrical Impedance Tomography Inverse Problem Solution Methods: From Traditional Regularization to Deep Learning

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Adaptive Online Variational Bayesian Method based on Normal-Generalized Inverse Gaussian Prior for Bioluminescence Tomography

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Electrical Impedance Tomography Image Reconstruction Based on Graph Laplacian and Sparse Learning

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DA-Net: A Dense Attention Reconstruction Network for Lung Electrical Impedance Tomography (EIT)

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Plantar Planar Dual-Array Electrical Impedance Tomography (PPDA-EIT) Method for Early Diabetic Foot Ulcers’ Detection

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Liquid-Electrodes Electrical Impedance Tomography Sensor for Single-Cell Imaging

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Correcting Non-Uniform Sensitivity in EIT Tactile Sensing via Jacobian Vector Approximation

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Fast Electrical Impedance Tomography With Hybrid Priors

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Regionally Routed Attention U-Net With Latent Fading Kalman Filtering for Real-Time EIT

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Image Reconstruction in Electrical Capacitance Tomography Using ROI-Shrinkage Adaptive Block Sparse Bayesian Learning

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Clustering-Based Reconstruction Algorithm for Electrical Impedance Tomography

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Spatiotemporal Residual Recurrent Neural Network for Lung Function Evaluation Using Electrical Impedance Tomography

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Three-Dimensional Image Reconstruction of Breast Tumor by Electrical Impedance Tomography Based on Dimensional Grey Wolf Optimization Algorithm

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A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction

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Elimination of Breath Interference for Conductivity-Contrast Pulmonary Perfusion Process With High-Frequency Electrical Impedance Tomography

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Integrating Kolmogorov–Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields

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A Self-Healing Electrical Impedance Tomography Sensor for the Selective Localization of Compression and Damage Based on a Diels–Alder Conductive Composite

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Comparative Evaluation of Multilayer EIT Sensors for 4-D Respiratory Monitoring

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