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body-and-organ-analysis

BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels.

coronary-artery-vein-segmentation

coronary-mesh-convolution

Implementation accompanying our STACOM (MICCAI) 2021 paper (https://doi.org/10.1007/978-3-030-93722-5_11)

coronary-segmentation

cto-model

This is an implementation of "Deep Learning Prediction for Percutaneous Recanalization of Chronic Total Occlusion Using Coronary CT Angiography".

deve

Endovascular Environment: Modular Toolbox to quickly prototype new Endovascular Environments

draggan

Official Code for DragGAN (SIGGRAPH 2023)

fancnn

Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)

geometry_segmentation_for_coronary_artery

code for "Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network"

hagmn-uq

HAGMN-UQ: Hyper Association Graph Matching Network with Uncertainty Quantification for Coronary Artery Semantic Labeling

itkthickness3d

An ITK module to compute 3D thickness

k-mamm-cad

OpenSource CAD software for Mammography, DDSM Database.

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

pulmonary_vessel_seg

3D ct pulmonary vessels segmentation

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

sach-net

SACH-Net: Shape-Adaptive Convolution Kernel and Hierarchical Topology Constraint Framework for Coronary Artery Segmentation

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

seglossodyssey

A collection of loss functions for medical image segmentation

sgda

stu-net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

svfsi

A multi-physics finite element solver for patient-specific blood flow simulation including fluid-structure interaction and cardiac electrophysiology

vascularmd

A software to edit, model and mesh vascular networks from centerlines.

vesselgraph

vesselgrapher

VesselGrapher: Learning Dynamic Vessel Graph Representations for Segmentation (MICCAI2023 CROWN challenge)