@INSIGNEO
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INSIGNEO

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  • Stars
    star
    60
  • Global Org. Rank 73,271 (Top 24 %)
  • Registered about 11 years ago
  • Most used languages
    Jupyter Notebook
         20.0 %
    C++
         20.0 %
    Makefile     20.0 %
    Python
         10.0 %
    MATLAB
         10.0 %
    Julia
         10.0 %
    C
         10.0 %
  • Location ๐Ÿ‡บ๐Ÿ‡ธ United States
  • Country Total Rank 67,675
  • Country Ranking
    Julia
         297
    Makefile     1,659
    MATLAB
         5,931
    C++
         7,789

Top repositories

1

openBF

1D blood flow model
Julia
28
star
2

pFIRE

The Parallel Framework for Image Registration
C++
13
star
3

openBF-db

openBF population generator
Jupyter Notebook
5
star
4

MAF2Medical

A software application framework for the rapid development of computer aided medicine applications
C++
4
star
5

microFE

Jupyter Notebook
2
star
6

AFM_Youngs_modulus_fit

matlab coding for AFM raw data post-processing > Hertz model to obtain cell Young's modulus
MATLAB
2
star
7

DL-SOCRATIS

DL-SOCRATIS we use two different deep learning networks approaches. A combination of a convolution deep neural network for left ventricle detection, and an u-net LGE-MRI trained network for the myocardium segmentation (DLl-SOCRATIS). For the second approach we used a cycle-GAN network to translate the LGE-MR images to cine-MRI and segment the myocardium using an u-net network trained in cine-MR images (DLc-SOCRATIS).
Makefile
2
star
8

PyPeCT2S

A GUI built to provide a contained base for the automation of the CT2S pipeline. With specific focus on paediatric applications. Utilising ANSYS and other FEM solver tools.
Python
2
star
9

VPH-HF-rabbitmq-cli-client

A command line client interface to RabbitMQ
C
1
star
10

MA-SOCRATIS

Multi-Atlas - Segmentation Of Cardiac Regions And Total Ifarct Scar (MA-SOCRATIS) is an unsupervised automatic pipeline that is capable of segmenting ventricular myocardium and scar from late gadolinium enhanced MR images (LGE-MRI) of left ventricle
Makefile
1
star