ChatzigeorgiouGroup / FractalDimensionLinks
A python function to calculate the fractal dimension in 3D.
☆79Updated 5 years ago
Alternatives and similar repositories for FractalDimension
Users that are interested in FractalDimension are comparing it to the libraries listed below
Sorting:
- Calculating fractal dimensions with box-counting☆30Updated 4 years ago
- An open-source application for the analysis and visualization of segmented vasculature datasets☆123Updated last year
- Structure tensor 2D and 3D implementation for Python.☆56Updated 6 months ago
- 🔬🖥 Automated Blood Vasculature Analysis of 3D Light-Sheet Image Volumes☆51Updated last year
- BT-Unet: A self-supervised learning framework☆33Updated 2 years ago
- Super Resolution 4D Flow MRI using Residual Neural Network☆50Updated last year
- Physics-informed neural networks for myocardial perfusion MRI quantification.☆14Updated 4 years ago
- Experimental code and examples for: Automated analysis of whole brain vasculature using machine learning☆74Updated 4 years ago
- Code and data in support of publication on Cardiac PINN☆22Updated 4 years ago
- ☆29Updated last year
- Wall shear stress (WSS) calculation for 4D Flow MRI☆33Updated last year
- 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793☆65Updated 2 years ago
- GPU-accelerated bio-image analysis focusing on 3D+t microscopy image data☆232Updated 7 months ago
- NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure☆49Updated 3 years ago
- A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing vasculature (or blood vessels…☆49Updated last year
- Solver for simulating tumor growth and mass effect in patient brain anatomy☆27Updated 9 months ago
- CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN…☆27Updated 4 years ago
- SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"☆41Updated last year
- Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)☆173Updated this week
- A Python library for biomedical statistical shape and appearance modelling.☆35Updated last month
- Deep learning framework for strain estimation on CMR Tagging images☆19Updated 9 months ago
- A GAN based framework for artifacts and noise removal☆36Updated 4 years ago
- A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images☆37Updated 2 years ago
- Official implementation of mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall☆55Updated last month
- "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.☆176Updated 10 months ago
- Python Vascular Network Analysis☆26Updated 2 months ago
- Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain☆39Updated 4 years ago
- An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging tech…☆66Updated 3 months ago
- A toy example of VAE-regression network☆72Updated 5 years ago
- Open library for LDDMM and Metamorphosis in PyTorch☆23Updated this week