pierre-nedelec's Stars
yeatmanlab/pyAFQ
Automated Fiber Quantification ... in Python
chof747/wienerlinien
A sensor that give you information about next departure from spesified stop.
Pythagora-io/gpt-pilot
The first real AI developer
dipy/dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
fury-gl/fury
FURY - Free Unified Rendering in pYthon.
tee-ar-ex/trx-python
Python implementation of the TRX file format
cmig-research-group/cmig_tools
Public repository of cmig_tools including FEMA
GreenAlgorithms/GreenAlgorithms4HPC
junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
OliverHi/smarthomeserver
A simple setup for your own smart home server (on a Raspberry Pi)
niivue/niivue
a WebGL2 based medical image viewer. Supports over 30 formats of volumes and meshes.
imeka/mi-brain
Imeka medical imaging applications based on MITK 2018.04.
dipy/GPUStreamlines
rauschecker-sugrue-labs/fetal-brain-segmentation
anibalsolon/vscode-neuro-viewer
Check metadata and visualize neuroimages within VSCode.
bids-standard/pybids
Python tools for querying and manipulating BIDS datasets.
microsoft/vscode
Visual Studio Code
romkatv/powerlevel10k
A Zsh theme
tensorflow/tensorboard
TensorFlow's Visualization Toolkit
MIC-DKFZ/nnUNet
webermarcolivier/statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
rgerum/pylustrator
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.
UCSF-intelligent-imaging/I2T2
Library of useful tools for handling Medical Imaging