rosesuitemadule,github

airlab

Image registration laboratory for 2D and 3D image data

atlas-based-3d-brain-segmentation-in-t1-mri

Fully supervised, multi-class 3D brain segmentation in T1 MRI, using atlas-based segmentation algorithms (label propagation, tissue models, Expectation-Maximization algorithm).

awesome-image-registration

image registration related books, papers, videos, and toolboxes

brain-tissue-segmentation-using-expectation-maximization

Medical Image Segmentation and Applications (MISA) LAB task.

brainprep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

brainsuite

BrainSuite's structural, diffusion, and functional MRI processing pipelines with QC functionalities.

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

contrib-pydicom

contributions to the core pydicom base, including tutorials, extra plugins, etc.

coord2nii

MNI coordinates to nifti volume conversion

ct-intensity-segmentation

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dicom-resampler

DICOM Python notebooks to resample images and pack them back as DICOM - useful for software testing

dicom-viewer

An application displaying 2D/3D Dicom

dicomkit

A Python Tool/Library To Convert Dicom File To Image

dicomviz

🏥 Simple DICOM visualizer written in Python

gmm-em-python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

gmm-em-vb

This repository is for sharing the scripts of EM algorithm and variational bayes.

kaggle-lung-cancer-classification

kaggle data science bowl 2017 solution

mri-preprocessing-techniques

Code examples of the free course in Youtube of brain MRI preprocessing techniques in python

nilearn

Machine learning for NeuroImaging in Python

non-local-u-nets

Non-local U-Nets for Biomedical Image Segmentation

pub-mrf

Markov Random Fields model for label fusion in automated MRI segmentation pipelines.

pydicom

Read, modify and write DICOM files with python code

pydicom-seg

Python package for DICOM-SEG medical segmentation file reading and writing

smriprep

Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

viewers

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

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