Weighted-Sparse-Bayesian-Learning-for-Electrical-Impedance-Tomography

A MATLAB code package to perform Weighted Sparse Bayesian Learning for EIT using Bound-Optimization. Allows parametrization, compares quantitatively and qualitatively with Regularization (L2 and L1) and EM-based Block Sparse Bayesian Learning. A Python demo is also included.

Thoracic-EIT-Imaging-Algorithms

This MATLAB package include code and data for the execution of several difference imaging algorithms applied on dynamic thoracic imaging. It also includes quantitative metrics (Figures of Merit-FoM) and comparison between state-of-the-art approaches and the recently proposed Method-of-Moment based Sparse Bayesian Learning one.

SPICE-MATLAB-Interface-for-Electrical-Impedance-Tomography-Simulation-SPICEIT-

Lung-Tumor-Segmentation

A Pytorch deep learning project for lung tumor segmentation, based on the Decathlon medical segmentation dataset.