Philips Research has long standing expertise and corresponding track record in image analysis on oncology data, coordinating and participating in previous EU-funded activities such as DR THERAPAT, iManageCancer, TRANSACT, SODA (, and BigMedilytics (

Additionally, Philips Research is active in the domain of AI (see contributing significantly to solutions in the field of diagnosis and treatment (see

Philips Research is actively developing image processing tools, investigating strategies for federated AI-learning, and creating image-based AI-solutions.

Role of institution in the project

Philips Research will participate in the project by executing a validation study of the EUCAIM platform (WP 7.2) with a focus to industry perspective and requirements for usability of the platform for development purposes.

Additionally, Philips Research will provide input to the project regarding interoperability of the EUCAIM framework with Philips assets (e.g. Philips Health Suite Digital Platform) (WP5, WP6), as well as liaising with industry initiatives.   

Tim Harder

Tim Harder joined Philips Research 2013 and is currently working as a Senior Scientist in the Data Science and AI department in Hamburg, Germany. Tim has a background in Bioinformatics and received his PhD from the University of Copenhagen on the topic of protein structure prediction using statistical machine learning approaches. His research interests are AI based image and data analysis as well as enhancing the clinical imaging workflow, in particular ensuring good clinical image quality. Tim has over 10 years of experience in medical image processing of several modalities including CT, MRI and digital x-ray systems. Next to his image based research, he has taken an interest in cloud computing as well as hospital data and IT systems allowing seamless data exchange in various clinical collaborations.

Thomas Bülow

Thomas Bülow is a Senior Scientist in Philips’ Data Science and AI Engineering Department in Hamburg, Germany. He is a Physicist by training obtaining his PhD from the University of Kiel. After conducting post-doctoral research in the field of computer vision at the University of Pennsylvania and the University of California, Berkeley, Thomas joined Philips in 2002. There he has been developing algorithms for medical image analysis of CT, MR, and X-ray images for various applications, including tumor segmentation, tumor characterization, and visualization. More recently he has focused on automated assessment of clinical image quality and radiology workflow innovations. He is a trained Product Owner for scaled agile project management.

Dr. José Matute

Dr. José Matute works as a researcher at Philips in Germany since 2021. He received his Bachelors in Computer Engineering at the Central American Technological University in Tegucigalpa, Honduras where he worked in image segmentation techniques for calcification detection. He received his MSc from Jacobs University Bremen and his PhD from Westfälische Wilhelms-Universität Münster, Germany where he focused on cardiovascular diseases and on the etiology of non-communicable diseases within the field of medical visualization.

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

Be the first to know and apply!

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

Join Leading Experts In Shaping AI In Cancer

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.