Alternatives and similar repositories for coronary-mesh-convolution

Users that are interested in coronary-mesh-convolution are comparing it to the libraries listed below

• danpak94 / Deep-Cardiac-Volumetric-Mesh
  ☆48Updated 2 months ago
• megdec / vascularmd
  A software to edit, model and mesh vascular networks from centerlines.
  ☆22Updated last year
• antonfrancois / Demeter_metamorphosis
  Open library for LDDMM and Metamorphosis in PyTorch
  ☆23Updated last month
• marrlab / SHAPR_torch
  SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
  ☆40Updated last year
• sbuoso / Cardio-PINN
  Code and data in support of publication on Cardiac PINN
  ☆22Updated 4 years ago
• q-cardIA / myo_pinn
  Physics-informed neural networks for myocardial perfusion MRI quantification.
  ☆14Updated 4 years ago
• sukjulian / segnn-hemodynamics
  Official implementation of SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets
  ☆15Updated last month
• jvwilliams23 / pyssam
  A Python library for biomedical statistical shape and appearance modelling.
  ☆34Updated last week
• morphomatics / morphomatics
  Geometric morphometrics in non-Euclidean shape spaces.
  ☆45Updated last month
• StanfordCBCL / gROM
  ☆30Updated 2 years ago
• SteffenCzolbe / pyLDDMM
  Python Implementation of the LDDMM algorithm
  ☆54Updated 4 years ago
• sukjulian / lab-gatr
  Official implementation of geometric algebra transformers for large biomedical surface and volume meshes (LaB-GATr)
  ☆32Updated 2 months ago
• LIA-DiTella / VesselVAE
  ☆11Updated 10 months ago
• SimVascular / svOneDSolver
  A C++ solver for blood flow and pressure in deformable 1D hemodynamic networks
  ☆18Updated 5 months ago
• UK-Digital-Heart-Project / Statistical-Shape-Model
  Statistical shape model of the heart
  ☆47Updated 8 years ago
• KVSlab / morphMan
  A collection of tools for manipulation of morphological features in patient-specific geometries
  ☆33Updated 11 months ago
• aniketkt / CTSegNet
  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
• fkong7 / Auto-LV-Modeling
  Automating Model Generation For Image-Based Cardiac Flow Simulation
  ☆14Updated 3 months ago
• fkong7 / MeshDeformNet
  A deep-learning approach for direct whole-heart mesh reconstruction
  ☆87Updated 2 years ago
• yuta-hi / bayesian_unet
  Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
  ☆50Updated 5 years ago
• fkong7 / HeartFFDNet
  ☆26Updated 3 years ago
• SimVascular / Tools
  Simple programs used with the SimVascular application suite.
  ☆11Updated 2 years ago
• AshStuff / dissm
  ☆26Updated 3 years ago
• YzzLiu / FracSegNet
  A deep-learning method for segmenting fractures from 3D CT images.
  ☆27Updated last year
• fkong7 / HeartDeformNets
  ☆21Updated last year
• andreasMazur / geoconv
  A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural net…
  ☆34Updated last week
• seung-lab / torchfields
  A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers
  ☆52Updated 3 years ago
• MIAGroupUT / IMPLICIT-CELL-SURFACES
  Code for MedIA 2024 paper "Generative modeling of living cells with SO(3)-equivariant implicit neural representations" and MICCAI 2022 pa…
  ☆12Updated last year
• NILOIDE / Implicit_segmentation
  ☆24Updated last year
• EdwardFerdian / 4DFlowNet
  Super Resolution 4D Flow MRI using Residual Neural Network
  ☆47Updated last year