BIGR’s open-source software projects bring our research in medical imaging and AI to the community. By making these tools available, we aim to accelerate scientific progress and improve the quality of healthcare. Browse the projects below to explore our open-source solutions and see how they can support your work.
A new XNAT client that exposes XNAT objects/functions as python objects/functions. The aim is to abstract as much of the REST API away as possible and make xnatpy feel like native Python code. This reduces the need for the user to know the details of the REST API. Low level functionality can still be accessed via the connection object which has get, head, put, post, delete methods for more directly calling the REST API.
WORC is an open-source python package for the fully automatic execution of end-to-end radiomics pipelines. Using automated machine learning, WORC automatically determines the optimal combination from a wide variety of radiomics methods and parameters to develop a radiomics model on your dataset. Thereby, performing a radiomics study is effectively reduced to a black box with a push button, where you simply have to input your data and WORC will adapt the workflow to your application. Thus, WORC is especially suitable for the fast development of signatures and probing datasets for new biomarkers.
