A cross-platform, open-source library for the analysis of X-ray diffraction data.

Wave optical models and inverse algorithms for label-agnostic imaging of density & orientation.

Reconstruction Algorithms for Compressive Sensing and Compressive Imaging

High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.

The Tomographer package implements the mathematical spatial image reconstruction of any set of read counts as described in the following article: https://www.nature.com/articles/s41587-021-00879-7

Data reconstruction and analysis tools for tomography data acquired at the P05 Imaging Beamline (IBL) and the P07 High-Energy Material Science (HEMS) beamline at PETRA III at DESY, both operated by Helmholtz-Zentrum Hereon.

UniTN Deep Learning Project 2021-22. Build a deep learning framework on a standard setting of Unsupervised Domain Adaptation (UDA).

3D point cloud generation from stereo images without OpenCV

DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning

Muon tomography data analysis library

Direct 3D mesh reconstruction from tomographic projection data

Redbird - A Model-Based Diffuse Optical Imaging Toolbox

An origin ensemble algorithm for Compton camera reconstruction.

Deconvolution of the growth law equation. Theory and experiments published at https://doi.org/10.5194/gi-11-293-2022

Code accompanying 'A linear method for camera pair self-calibration' paper about camera pair self-calibration and metric reconstruction starting from a projective reconstruction, assuming different and varying focal lengths

[ROBOVIS 2026] Code for the Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments paper.

This repository has research paper implementation which reconstructs training data.

A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)

Research project exploring multiplex reconstruction techniques informed by graph embeddings.

This repository contains the official implementation of the paper "Seismic Source Recovery Algorithm via Internal Learning in the Cross-spread Domain" published by European Association of Geoscientists & Engineers

공부 내용, 논문 번역, 책 번역

Git Repository for the Hyperspectral Adaptive Imager (ImHypAd) in collaboration between two French laboratories, namely IRAP and LAAS and Airbus Space & Defense.

This was the course project for Digital Image Processing (CS663), in the Autumn Semester of 2024-25, at IIT Bombay

Scripts and analysis for the Giurgiu et al. 2024. Genome Research. "Reconstructing extrachromosomal DNA structural heterogeneity from long-read sequencing data using Decoil".

Repository for our deep multitask paper in DOT imaging.

Algorithm to reconstruct trajectories from sensor data

A GUI MATLAB APPLICATION FOR TOMOGRAPHY RECONSTRUCTION AND VISUALIZATION

Diffuse Optical Tomography (DOT) is an non-invasive optical imaging technique that measures the optical properties of physiological tissue using near infrared spectrum light. Optical properties are extracted from the measurement using reconstruction algorithm. This project uses the steepest descent method for reconstruction of optical data.

A Deep Learning project using LSTM Autoencoders to reconstruct and recover missing segments of ECG signals from the MIT-BIH Arrhythmia Database.

Final Term Project, Machine Learning (Prof. Jehyuk Lee), 1st Semester, Master’s Program