This repository has research paper implementation which reconstructs training data.
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Updated
Dec 12, 2023 - Jupyter Notebook
This repository has research paper implementation which reconstructs training data.
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.
Research project exploring multiplex reconstruction techniques informed by Naive Bayesian classifiers.
RGBD quick reconstruction
Algorithm to reconstruct trajectories from sensor data
Parametric LHCb Run 3 VELO simulation for reconstruction studies
A GUI MATLAB APPLICATION FOR TOMOGRAPHY RECONSTRUCTION AND VISUALIZATION
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.
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.
Research project exploring multiplex reconstruction techniques informed by graph embeddings.
An origin ensemble algorithm for Compton camera reconstruction.
Deconvolution of the growth law equation. Code and replication data for https://doi.org/10.5194/gi-11-293-2022
A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)
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
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
Direct 3D mesh reconstruction from tomographic projection data
UniTN Deep Learning Project 2021-22. Build a deep learning framework on a standard setting of Unsupervised Domain Adaptation (UDA).
DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning
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