Opensource radiation treatment planning system in Python [AAPM'23]

Space-filling curve for rectangular domains or arbitrary size.

The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)

Ein Python Toolkit für die Qualitätssicherung von Linearbeschleunigern nach DIN

Automated DICOM RTPlan Checking

A python code to analyse graphic results of Winston Lutz test

A Tool for Approximating Radiotherapy Delivery via Informed Simulation (TARDIS)

A proof-of-concept jupyter extension which converts english queries into relevant python code

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Deep learning models to predict the gamma index of treatment plans based on calculated fluence maps for intensity modulated radiation therapy (IMRT).

Read, modify and write DICOM files with python code

Turn (almost) any Python command line program into a full GUI application with one line

A TG-142 toolkit and web service for doing routine linear accelerator quality assurance

Code to Analyze Data Mining Results

Scripts that have been useful. Includes some analysis of EGSnrc 3ddose files

Implementation of the paper "Predicting gamma passing rates for portal dosimetry based IMRT QA using machine learning"

Materials for an intro to neuroimaging in python tutorial from Toronto, july 2017

Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.

A set of tools used for quantitative analysis of and machine learning from 3D medical images. Created by the Quantitative Tumor Imaging Lab at Martinos.

Scala Machine Learning Projects, published by Packt

end-to-end Machine Learning model with MLlib in pySpark, For a Binary Classification problem with Imbalanced Classes

Machine Learning and Data Analysis Case Studies using Spark.

Course on Udemy by Jose Portilla

PySpark Code for Hands-on Learners