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.
An image analysis library for medical physics
Opensource Python project for cancer radiation treatment planning [AAPM'23]
Develop dose prediction models for knowledge-based planning in radiotherapy
RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.
A Python package for radioactive decay modelling that supports 1252 radionuclides, decay chains, branching, and metastable states.
Analysis of radiotherapy dose distributions
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.
LinaQA (pronounced Linakwa) is a GUI frontend for pylinac and pydicom.
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
Magnetic Field Coil Generator for Python, ported from CoilGen
Develop plan optimization models for knowledge-based planning in radiotherapy
An simple GUI program for performing radiotherapy QA
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
Software for calculating IORT treatments with a LIAC HWL linac, based on precalculated Monte Carlo dose distributions in water.
Compressed Radiation Treatment Planning [NeurIPS'24, PMB'23]
module that reads and analyzes mephisto mcc files from watertank scans
Develop a deep learning-based model for accurate image-to-image translation across MRI sequences for the brain region.
Add a description, image, and links to the medical-physics topic page so that developers can more easily learn about it.
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