A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.

Opensource Python project for cancer radiation treatment planning [AAPM'23]

Preprocessing scripts: from dicom to aligned nitfy for SynthRAD2023 Grand Challenge

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]

The code base for Generalizable Dose Prediction for Heterogenous Multi-Cohort and Multi-Site Radiotherapy Planning (GDP-HMM) challenge at AAPM 2025

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion

Domain knowledge driven 3D radiation dose prediction [PMB'22]

General deep learning-based fast image registration framework for clinical thoracic 4D CT data

Platform for collision detection during treatment planning in radiotherapy

Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.

We help you commercialise your open source medical software.

A python (Pytorch) implementation of Beam Dose Decomposition for Dose Prediction [MICCAI 2022]

RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy

Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]

XDRT (XDR Toolkit) is a python toolkit to work with the Elekta XDR and XVI file formats.

VMAT modulation complexity index calculator based on https://github.com/victorgabr/ApertureComplexity

An simple GUI program for performing radiotherapy QA

Compressed Radiation Treatment Planning [NeurIPS'24, MP'2025, PMB'23]

Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.

Auto-segmentation Deep Learning Toolbox for radiotherapy