Pinned Repositories
AirQuant
AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.
AirwayTaperingInCT
airwaytools
ATN
Labelless automated airway measurement using style transfer to generate synthetic data.
BoatIoT
dicomMETAtools
FourierTransformDemo
A set of tools to graphically execute the Fourier Transform for a given function.
ImageNetwork
Create graph networks of N dimensional binary images for analysis with python using NetworkX and NumPy.
medicalpycoco
Helper functions to create COCO datasets
ashkanpakzad's Repositories
ashkanpakzad/AirQuant
AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.
ashkanpakzad/ATN
Labelless automated airway measurement using style transfer to generate synthetic data.
ashkanpakzad/ImageNetwork
Create graph networks of N dimensional binary images for analysis with python using NetworkX and NumPy.
ashkanpakzad/medicalpycoco
Helper functions to create COCO datasets
ashkanpakzad/AirwayTaperingInCT
ashkanpakzad/airwaytools
ashkanpakzad/BoatIoT
ashkanpakzad/dicomMETAtools
ashkanpakzad/FourierTransformDemo
A set of tools to graphically execute the Fourier Transform for a given function.
ashkanpakzad/GeneralTools
General MATLAB tools that tend to be trivial but necessary.
ashkanpakzad/miseval
a metric library for Medical Image Segmentation EVALuation
ashkanpakzad/OpticalDataRipper
Rip data from optical drive (CD/DVD)
ashkanpakzad/pulmonarytoolkit
Lung medical image analysis and visualisation software for Matlab.
ashkanpakzad/PythonExamPrep
ashkanpakzad/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
ashkanpakzad/pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
ashkanpakzad/rstatix
Pipe-friendly Framework for Basic Statistical Tests in R
ashkanpakzad/torchio
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
ashkanpakzad/unet
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.