SPAIN
Node Candidate Name: BIMCV - Medical Imaging Data Bank - Population Imaging Node Valencia
The Spanish BIMCV – Medical Imaging Data Bank – Population Imaging Node Candidate in Valencia provides a multi-level storage service and access (Vendor Neutral Archive) on specific projects. The Node Candidate integrates cloud-based computational services with access to high-performance computer clusters high capacity computational from local and European infrastructures, and provides open access methodologies that will integrate different data types for population imaging and quantitative resources. The Node Candidate develops and provides access to a large database of imaging data and corresponding clinical data records. The aims of this Node Candidate are to transform the Medical Imaging Databank into an environment for translational innovation in healthcare interventions and management and to facilitate open translational research with a sufficiently representative sample population. BIMCV gives a clear answer to the creation of an infrastructure for large population base, with associated data acquisition, the quantitative analysis of standardized data and access to the imaging data.
Specialties and expertise of the Node Candidate
BIMCV is a joint initiative of five main institutions in the region of Valencia: The La Fe Polytechnic University Hospital, the Valencian Regional Authorities in Health, the Polytechnic University of Valencia and the University of Valencia. This joint endeavor brings together expertise on medical imaging biomarkers, medical databanks and intensive computing infrastructures. The services that will be provided will include:
Offered Technologies
Instrument highlights
The Node Candidate's expertise focuses on advance imaging biomarkers development and validation, multivariate analysis and habitats clusterization, tissue signaling and epidemiologic imaging studies, and radiogenomics.
The Spanish BIMCV – Medical Imaging Data Bank – Population Imaging Node Candidate in Valencia provides a multi-level storage service and access (Vendor Neutral Archive) on specific projects. The Node Candidate integrates cloud-based computational services with access to high-performance computer clusters high capacity computational from local and European infrastructures, and provides open access methodologies that will integrate different data types for population imaging and quantitative resources. The Node Candidate develops and provides access to a large database of imaging data and corresponding clinical data records. The aims of this Node Candidate are to transform the Medical Imaging Databank into an environment for translational innovation in healthcare interventions and management and to facilitate open translational research with a sufficiently representative sample population. BIMCV gives a clear answer to the creation of an infrastructure for large population base, with associated data acquisition, the quantitative analysis of standardized data and access to the imaging data.
Specialties and expertise of the Node Candidate
BIMCV is a joint initiative of five main institutions in the region of Valencia: The La Fe Polytechnic University Hospital, the Valencian Regional Authorities in Health, the Polytechnic University of Valencia and the University of Valencia. This joint endeavor brings together expertise on medical imaging biomarkers, medical databanks and intensive computing infrastructures. The services that will be provided will include:
- Access to a selected set of medical images and associated information from a population database and according to multiple criteria.
- A catalogue of Medical Image Biomarkers and processing services to address different research challenges.
- A mechanism to configure and deploy virtual infrastructures on research computing infrastructures.
- Genetic correlation with imaging and phenotypic data.
- Allow data storage under specific projects.
Offered Technologies
- Population Imaging
Instrument highlights
The Node Candidate's expertise focuses on advance imaging biomarkers development and validation, multivariate analysis and habitats clusterization, tissue signaling and epidemiologic imaging studies, and radiogenomics.
Contact details
Luis Martí-Bonmatí
[email protected]
Maria de la Iglesia Vaya
[email protected]
Medical Imaging Coordinator and Scientific Technical Direction of CEIB
+34 681346421
Luis Martí-Bonmatí
[email protected]
Maria de la Iglesia Vaya
[email protected]
Medical Imaging Coordinator and Scientific Technical Direction of CEIB
+34 681346421