Name: Jean-Christophe Fillion-Robin
Type: User
Company: @kitware
Bio: 10+ years experience crafting open-source software, managing teams, organizing communities and sharing knowledge to help improve health outcomes.
Twitter: thehiddenbrain
Location: Carrboro, NC
Blog: https://www.linkedin.com/in/jfillionr/
Jean-Christophe Fillion-Robin's Projects
Shape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures. SPHARM-PDM is a tool that computes point-based models using a parametric boundary description for the computing of Shape analysis.
C++ code for illustrating Spline Fitting in OpenGL
Collection of Skeletal Model Extensions for 3D Slicer/SlicerSALT
Slicer Slice Pipeline - Small experiment that should help understanding how images are rendered in the Slice slice views
Answer to stackoverflow question 56135785
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Not a heap of trash hopefully.
Python wrappers for SymEngine
Introduction Tutorial to TensorFlow
Test integration with gitbook
Small project allowing to verify hypothesis while working on Slicer issue 2140
Slicer extension for TOMAAT
Tools for medical image processing in deep learning and PyTorch.
Automatically exported from code.google.com/p/torchit
Python wrapper for Google's Draco mesh compression library
Jupyter in the Triangle conference website
An open-source toolkit, led by Kitware, Inc., for the segmentation, registration, and analysis of tubes and surfaces in images.
Unofficial fork of TubeTK to capture initial work required to build it as a Slicer extension
The objetive of the repository is to improve the Guidelet code for generating custom GUI easily
web app with demos of UncertainSCI
A client for OpenIGTLink implemented for the Universal Windows Platform
Slicer extension containing registration library functions
:arrow_down_small: vcs project manager
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-64E, HDL-32E, and VLP-16)