3D medical imaging reconstruction software

Operator Discretization Library https://odlgroup.github.io/odl/

Tomographic Reconstruction in Python

A set of tools for characterizing and analyzing 3D images of porous materials

Computational Tomography in PyTorch

Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods

Python based toolkit for Electrical Impedance Tomography

A versatile python framework for tomographic imaging

Learned Primal-Dual Reconstruction

Solving ill-posed inverse problems using iterative deep neural networks

Seismic imaging at local, regional, and global scale

Self-supervised learning for isotropic cryoET reconstruction

Project for an open-source python library for synthetic diagnostics and tomography for Fusion devices

Camera calibration with sub-pixel accuracy: https://discorpy.readthedocs.io/

A library for quantum characterization, verification, validation (QCVV), and benchmarking using pyQuil.

Data processing algorithms for tomography: https://algotom.readthedocs.io

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

Numerical techniques for ring artifact removal in tomography https://sarepy.readthedocs.io/

Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.