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.

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.

Muon tomography data analysis library

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

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

This repository has research paper implementation which reconstructs training data.

An origin ensemble algorithm for Compton camera reconstruction.

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

Direct 3D mesh reconstruction from tomographic projection data

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

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

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

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.

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.

Algorithm to reconstruct trajectories from sensor data