Radiomics initiatives

Radiomics Imaging Archive

RIA is a repository which stores and hosts a large archive of de-identified medical and preclinical images as well as radiomics features extracted from these images accessible for public download. It is the European GDPR compliant counterpart to The Cancer Imaging Archive (TCIA) with the difference that it is not limited to oncology or data format.

The Image Biomarker Standardisation Initiative

IBSI aims to improve reproducibility of radiomics studies by standardising the computational process of extracting image biomarkers (features) from images. We have previously established reference values for 169 commonly used features, created a standard radiomics image processing scheme, and developed reporting guidelines for radiomic studies.

Radiomics ontology

The Radiomics Ontology aims to cover the radiomics feature domain with a strong focus on first order, shape, textural radiomics features. In addition, in the original version. it includes classes about segmentation algorithms and imaging filters. Due to a recent collaboration with the IBSI (International Biomarkers Standardization Initiative), the ontology has been expanded (v 1.6) and it includes all the entities presented in the IBSI document. Therefore, a broad coverage of not only radiomics features, but also every entity (e.g. software properties, filter properties, features extraction parameters) involved into radiomics computation has been added. In the latest version (v2.0), the ontology URIs have been updated to reflect the codes avaialble in the IBSI latest manual.

Radiomic data has the potential to uncover disease characteristics that fail to be appreciated by the naked eye. The central hypothesis of radiomics is that distinctive imaging algorithms quantify the state of diseases, and thereby provide valuable information for personalized medicine. Radiomics has emerged from oncology, but can be applied to other medical problems where a disease is imaged.



Our work on Radiomics is supported by several grants and funded projects.

 Under the European Horizon 2020 framework we collaborate in several projects through Maastricht University, department of Precision Medicine.The current projects related to the development of a new version of the RQS are Chaimeleon and EUcanImage.



Within the Interreg Euregio Meuse-Rhne program we participate - through the dept. of Precision Medicine at Maastricht University - in the Euradiomics project.



The department of Precision Medicine at Maastricht University. At this department research and development on Radiomics tools is being conducted, moreover the 'founders' of the term radiomics originate from this department and currently the department is lead by prof.dr. Philippe Lambin (



Health Innovation Ventures

Health Innovation Ventures is the Holding company that enabled the first spin-off companies marketing radiomics to grow and develop. Health Innovation Ventures builds bridges between the (fundamental) research at the department of Precision Medicine and actual uptake of its output in the market.


Oncoradiomics is a spin-off company founded by the first researchers to use the term Radiomics. Thanks to an internationally recognised scientific team and an experienced business team in matters of new technologies Oncoradiomics will provide its clients with cost effective, non invasive and easy to use radiomics solutions.