Philips

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 (https://soda-project.eu), and BigMedilytics (www.bigmedilytics.eu).

Additionally, Philips Research is active in the domain of AI (see https://www.philips.com/a-w/about/artificial-intelligence/ai-publications) contributing significantly to solutions in the field of diagnosis and treatment (see https://www.philips.com/a-w/about/artificial-intelligence/ai-enabled-solutions).

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.   

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.

Dr. Axel Saalbach

Axel Saalbach joined Philips in 2006 and is currently working as a Senior Scientist in the Data Science and AI department in Hamburg, Germany. He holds a Diploma in Computer Science and earned his PhD in Neuroinformatics from the University of Bielefeld, Germany. Axel has dedicated his efforts to developing state-of-the-art image processing and AI algorithms for various medical imaging modalities, including CT, MR, and X-ray, as well as methods for clinical data and process analysis. In addition to his technical expertise, he is a certified project manager and Scrum Master.

Dr. Alexandra Groth

Alexandra Groth joined Philips in 2003 and is currently working as a Senior Scientist in the Data Science and AI Department in Hamburg, Germany. She holds a Diploma in Electrical Engineering and a PhD in Communications Engineering from the University of Bochum, Germany. Alexandra has extensive experience in medical image processing across various modalities, including CT, MRI, ultrasound, and digital x-ray systems, particularly within the fields of Cardiology, Neurology, and Oncology. She has a proven track record of successful collaborations with universities and clinical partners on numerous EU projects. In addition, she is a certified Scrum Master.

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!

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Open Call Webinar

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

WATCH THE RECORDING

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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SAVE THE DATE
March 14, 10:00-11:30 aM CET

DISCOVER THE CANCER IMAGE EUROPE PLATFORM

TECHNICAL DEMONSTRATION WEBINAR

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.

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