ImageJ macros and plugins.
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Updated
Jan 5, 2023 - Rich Text Format
ImageJ macros and plugins.
A Python class for computing Wicksell's transforms of continuous distributions
Uses a convolution neural network to classify titanium microstructures
A code that analyses grains from microstructure images, providing informations such as number of grains and grain size
This code allows combining the spatial distribution coming from multiple secondary ions maps obtained through time-of-flight secondary ion mass spectrometry (ToF-SIMS) into a single image and segmenting it (i.e., every pixel is assigned to one SI/phase only).
Assessing microstructural brain differences in epileptic patients with vagus nerve stimulation via diffusion MRI, tractography and machine learning
Stimulated echo diffusion weighted data in fixed pig spinal cord
Folder containing all implemented or developed quantitative spinal cord imaging pipelines and data analyses
Predictions of fabric descriptors in dual phase cements
Running SPPARKS (Stochastic Parallel Particle Kinetic Simulator) on HPC system
Collection of code for detection and modeling of jumps (WIP)
Fitting a 3D ellipsoid to an arbitrary 3D shape for RVE evaluation.
IPED: Improved B0-distortion correction in diffusion MRI
This project is about generating 3D microstructure images with specified porosity and surface area values.
Spatial Statistics module. Deals with the calculation of spatial statistics under variety of scenarios and definitions.
Microstructure Characterization and Reconstruction in Python
Tiny library for cell automaton microstructure generation
Microstructure vision-based porosity analysis
Data Sampling Schemes for Galfenol Microstructure Optimization
Final Year Project: Predicting Charpy impact test data from microstructure data using a machine learning model.
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