La Fe University and Polytechnic Hospital

La Fe University and Polytechnic Hospital has extensive experience in the design and construction of local de-identified data warehouses, integration and standardization of information (prior analysis and evaluation of data sources), data analytics and reporting (data discovery and mining), as well as in the treatment of multiple data types (clinical and genomic database records, medical imaging studies), maintaining the links between de-identified data (within a GDPR-compliant framework). This work has taken place in the context of multiple European projects (PRIMAGE, CHAIMELEON and ProCAncer-I) that provide our institution with the necessary expertise in the field of distributed computing and storage. In addition, La Fe University and Polytechnic Hospital has expertise in the implementation of data ingestion processes through the Extraction, Transformation and Loading (ETL) of Real World Data into the OMOP common data model (CDM). These capabilities allow our institution to serve as a reference in the implementation of a federated node, bringing the knowledge of previous experiences.

GIBI230 has extensive experience in making data interoperable. Coordinating projects such as the European CHAIMELEON project, where a data flow architecture has been developed to interoperate with all elements of the hospital to obtain the necessary data required for the project. In addition, the GIBI230 group is actively involved in the development of standards such as the medical image extension of OMOP CDM and the development with partners of the European PRIMAGE project of a model capable of linking DICOM-MIABIS models, together with the clinical information in OMOP.

La Fe University and Polytechnic Hospital has also led a wide range of imaging and clinical data pre-processing tasks in previous European projects, such as data curation, synthetic data generation, data harmonization and image denoising and annotation, including the standardization of image related metadata. The institution has a vast experience in developing and validating quality control and machine learning tools.

Role of institution in the project

La Fe University and Polytechnic Hospital is a beneficiary of the EUropean Federation for CAncer IMages (EUCAIM) project, with the main role of scientific coordination, led by the Director of the Medical Imaging Department and Chairman of Radiology, Prof. Martí-Bonmatí.

The institution coordinates Work Package 2 on the Engagement and Liaison of Data Providers, and Task 4.1 on the Central Hub Governance Operational framework.

Luis Martí-Bonmatí

Luis Martí-Bonmatí is the Director of the Medical Imaging Department and Chairman of Radiology at La Fe University and Polytechnic Hospital in Valencia, Spain. He is also founder and director of the Biomedical Imaging Research Group (GIBI230) at La Fe Health Research Institute, hosting both advanced clinical and experimental radiology facilities. Prof. Martí-Bonmatí received his medical degree from the University of Valencia in 1983. He completed his residency in radiology in 1987 and earned his PhD in 1991. He started working in Dr. Peset University Hospital as Chief of the MRI section. In 2009 he took on his current role at La Fe University and Polytechnic Hospital. In 2011 he became Professor of Radiology at the University of Valencia. His main interests are computational imaging, radiomics and biomarkers, image processing, imaging biobanks and clinical innovations in medical imaging and AI. He is active in several European initiatives, coordinating the PRIMAGE and CHAIMELEON Horizon 2020 projects, dealing with on medical imaging, AI, image repositories and predictive models with observational studies. He is now the Scientific Director of the European Cancer Images (EUCAIM) Digital Europe project to deploy a pan-European digital federated infrastructure of FAIR pan-cancer anonymized images from real-world data.

Leonor Cerdá Alberich

Leonor Cerdá Alberich is Doctor in Physics. Her career began in 2013 at the Institute for Corpuscular Physics (IFIC, University of Valencia – CSIC), working on the analysis of large unstructured data sets collected with the ATLAS experiment at the European Organization for Nuclear Research (CERN), where she obtained her doctorate Cum Laude in Physics in 2018. She has extensive experience in data analysis, image modelling with artificial intelligence, development of image standardization algorithms, extraction of quantitative parameters, automatic segmentation, data acquisition, technical management, tutoring and outreach. She currently works as head of the Computing and AI Department within the Biomedical Imaging Research Group (GIBI230) at the La Fe Health Research Institute. She leads and performs tasks such as biomedical image processing and development of artificial intelligence algorithms and methodologies for the extraction of image biomarkers and prediction of relevant clinical outcomes. Her main research lines include harmonization of imaging data, obtention of radiogenomic signatures, heterogeneity studies based on the identification of tumor habitats, and development of novel methodologies for feature selection, dimensionality reduction and prediction of clinical endpoints.

Ana Miguel Blanco

Ana Miguel Blanco is a project manager with a PhD in Biomedical Sciences and 8 years of experience managing international research projects. Over the last 3 years she has been actively involved in the coordination and management of the CHAIMELEON, PRIMAGE, and ProCAncer-I projects, which are three of the AI4HI projects that EUCAIM builds on. In EUCAIM, Ana will support the scientific coordination at HULAFE under the direction of Dr. Luis Martí Bonmatí.

Ana Penadés Blasco

Ana Penadés Blasco started her research activity in 2014 through the Biomedical Imaging Research Group (GIBI230) with the project "Cost-based analysis, resource optimization and dynamization of training activities in the Clinical Medical Imaging Area of La Fe University and Polytechnic Hospital". In 2015, she completed the Master's Degree in Health Management with her final project "Cost-based analysis in the Radiology Department of a leading public hospital" with which she obtained the maximum score of outstanding Cum Laude. She coordinates and manages the 3 business units (GIBI230, Clinical Trials and the Experimental Radiology and Imaging Biomarkers Platform), she carries out the administration and justification of the group's research projects, promotes collaboration agreements with other entities, searches for opportunities and dynamizes the Experimental Radiology and Imaging Biomarkers Platform managed by the research group. Since 2014, she has managed more than 50 research projects and participates in the management of more than 300 active clinical trials. She is currently a member of the Quality Committee of La Fe University and Polytechnic Hospital and Health and Safety Committee of La Fe Health Research Institute.

Join the EUCAIM Consortium

Open Call for New Beneficiaries

We’re inviting new partners to enhance our pan-European infrastructure for cancer images and artificial intelligence.

Whether you’re a data holder with valuable cancer images or an innovator developing AI tools for precision medicine, this is your chance to contribute to a groundbreaking project.

Apply by 10 June 2024!

Open Call Webinar

We recently hosted a webinar with more details for prospective applicants to the open call. A recording is available.

Our open Call for new collaborators
launches in April 2024

Opportunities for data holders & AI developers to contribute await! Let‘s join forces to enhance cancer diagnosis and treatment

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March 14, 10:00-11:30 aM CET



Explore the potential for AI-driven cancer care advancements!
Learn how to access and utilize our federated cancer image repository. The webinar is for AI Innovators & Data Providers interested in the platform and will feature an introduction to EUCAIM & Cancer Image Europe and a demonstration of data exploration & access.

Survey Invitation

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EUCAIM is looking for your feedback! We have recently published a Stakeholder Survey in order to reach out to potential end-users and stakeholders. We believe that your insights could significantly contribute to understanding the expectations of potential users and identifying the essential aspects that stakeholders find crucial for future engagement and collaboration with the platform.

Therefore, we would like to invite you to participate in the Stakeholder Survey about the Cancer Image Europe platform.

Completing the survey will take approximately 10 minutes. Your participation is crucial to the success of this project, and we deeply appreciate your expertise in shaping the future of cancer imaging and treatment.