A cross-platform, open-source library for the analysis of X-ray diffraction data.
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Updated
Oct 22, 2024 - Python
A cross-platform, open-source library for the analysis of X-ray diffraction data.
Scripts and analysis for the Giurgiu et al. 2024. Genome Research. "Reconstructing extrachromosomal DNA structural heterogeneity from long-read sequencing data using Decoil".
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.
Wave optical models and inverse algorithms for label-agnostic imaging of density & orientation.
RGBD quick reconstruction
Deconvolution of the growth law equation. Code and replication data for https://doi.org/10.5194/gi-11-293-2022
High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.
공부 내용, 논문 번역, 책 번역
This repository has research paper implementation which reconstructs training data.
Research project exploring multiplex reconstruction techniques informed by graph embeddings.
Repository for our deep multitask paper in DOT imaging.
DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning
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
A GUI MATLAB APPLICATION FOR TOMOGRAPHY RECONSTRUCTION AND VISUALIZATION
Research project exploring multiplex reconstruction techniques informed by Naive Bayesian classifiers.
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.
An origin ensemble algorithm for Compton camera reconstruction.
A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)
UniTN Deep Learning Project 2021-22. Build a deep learning framework on a standard setting of Unsupervised Domain Adaptation (UDA).
Direct 3D mesh reconstruction from tomographic projection data
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