Source code behind the paper Fully automatic and fast segmentation of the femur bone

Extracting different feature lines from piecewise linear tensor fields

Generates a voronoi diagram with periodic boundaries

Python package for producing spherical histograms

Python package to subdivide tetrahedral meshes in hexahedral meshes, and triangular meshes into quadrilateral meshes.

A ML compute backend for RawRefinery and command line tool.

Python game programming in Jupyter notebooks.

Refining of bone segments

Robust Tetrahedral Meshing in the Wild.

Spelling, grammar and style checking on LaTeX documents

MATLAB function for the identification of femoral landmarks, axes, planes and bone coordinate systems using a 3D surface model

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

ITK filter to compute the inverse displacement field.

Mathematica package to convert Mathematica expressions to Numpy-compatible ones.

Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

A processing script for Bricklayers in Prusaslicer and Orcaslicer

Rigid-Body Mesh Registration with symmetrized ICP

Added Python bindings

Meshing tool for homogenised finite elements based on HR-pQCT images

Repository linked to the article "Automatic Segmentation of Cortical Bone Microstructure: Application and Analysis of Three Proximal Femur Sites

A Python wrapper for the official Wiener Netze Smart Meter API (WN_SMART_METER_API)

Visual scripting framework for python

These are the shims I created to few bed skew on my Pruse Mini 3D printer and a document on how a did it. (Thingiverse 4378040)

Nomen est omen: The app's name, frag.jetzt (German for "ask.now"), says it all—highlighting both its main purpose and its web address, https://frag.jetzt.

Surface models of bones created from CT datasets of the open source VSDFullBody database.

Numpy & PyTorch implementation of three algorithms of image deformation using moving least squares. http://dl.acm.org/citation.cfm?doid=1179352.1141920

Implementation of nonlinear material properties in a linear finite element solver