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apg

Accelerated proximal gradient in R

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cnn-hnscc

Deep learning based outcome modelling from CT scans of HNSCC patients

collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

deid

best effort anonymization for medical images using python

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

end2endai_idh_prediction

horos

Horos™ is a free, open source medical image viewer. The goal of the Horos Project is to develop a fully functional, 64-bit medical image viewer for OS X. Horos is based upon OsiriX and other open source medical imaging libraries. Horos is made freely available under the GNU Lesser General Public License, Version 3 (LGPL-3.0). Horos is linked against the Grok JPEG 2000 library, for fast viewing of JPEG 2000 images. This library is licensed under the terms of the GNU Affero General Public License.

icpsurv

Invariant Causal Prediction for Survival Data

invariantcausalprediction

:exclamation: This is a read-only mirror of the CRAN R package repository. InvariantCausalPrediction — Invariant Causal Prediction

itk-vtk-viewer

2D / 3D web image, mesh, and point set viewer using itk.js and vtk.js

joaosantinha.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

label_of_physical_point_medical_image

Python script that given a list of physical coordinates and a segmentation mask returns the corresponding labels of those coordinates

lightning-hydra-template

Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

magicianscorner

Notebooks, datasets, other content for the Radiology:AI series known as Magicians Corner by Brad Erickson

medical_image_analysis_workshop

Workshop on Medical Image Analysis using pydicom, SimpleITK, ITK, itkwidgets, numpy, seaborn, and matplotlib

niffler

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

owl

Implementation of the Ordered Weighted L1 Regularization in R with capabilities to run using caret train function.

owl_slope

:owl: Generalized Linear Models Regularized with the Sorted L1-Norm

pgmpy

Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks

phantomstudy

A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

radiogenomics_gliomas_pilot

radiomics_size_dependency

sasan

SASAN

siim21_bip

SIIM 2021 Hands-On Sessionn on Basics of Imaging Processing

slicer-opencad

OpenCAD Extension for 3DSlicer

slicernotebooks

Examples that illustrate how to use 3D Slicer via Jupyter notebooks in Python