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Author:
Stephen R. Aylward
License:
Apache-2.0
Summary:
Methods, workflows, tutorials, and CLI for creating personalized physiological digital twins from 3D/4D medical images
Latest version:
2026.8.0
Required dependencies:
antspyx
|
einops
|
huggingface-hub
|
icon-registration
|
ipykernel
|
itk
|
matplotlib
|
monai
|
nibabel
|
numpy
|
picsl-greedy
|
pyacvd
|
pydicom
|
pynrrd
|
pyvista
|
scipy
|
torch
|
totalsegmentator
|
transformers
|
trimesh
|
typing-extensions
|
unigradicon
|
usd-core
|
vtk
Optional dependencies:
bumpver
|
coverage
|
cupy-cuda13x
|
docutils
|
imageio-ffmpeg
|
jupytext
|
linkify-it-py
|
markdown-it-py
|
mypy
|
myst-parser
|
nvidia-physicsnemo
|
physiotwin4d
|
pre-commit
|
pytest
|
pytest-cov
|
pytest-timeout
|
pytest-xdist
|
ruff
|
scipy-stubs
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-copybutton
|
sphinx-rtd-theme
|
sphinx-tabs
|
torch
|
torch-geometric
|
torch-scatter
|
torchaudio
|
torchvision
|
types-requests
|
uc-micro-py
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