
Winter Meeting 2025 – From Idea to Reality: the Path from CV/DL Algorithm to a Product
NVPHBV Winter Meeting 2025
Date: 16 January 2025
Venue: Auditorium UMC Utrecht
Topic: From Idea to Reality: the Path from CV/DL Algorithm to a Product
The NVPHBV Winter Meeting 2025 will center on transforming ideas into reality, specifically focusing on the journey from CV/DL algorithms to market-ready products.
In an inspiring day, we are going to explore resent advances with invited keynote speakers and we will have a series of short abstract presentations. The winner of the best-abstract award will be announced at the end of the meeting.
As always there will be ample time to connect with all attendees from industry and academia.
Hourly Schedule
Winter Meeting 2025
- 11:30 - 12:00
- Welcome & Registration
- 12:00 - 13:00
- Lunch & Poster Session
- 13:00 - 13:10
- Welcome from NVPHBV president
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Speakers:
Prof. Dr. Clarisa Sánchez
- 13:10 - 14:00
- Keynote I - From partly to fully automated healthcare, and beyond
- It took more than half a century, but now computer vision - the dream of building machines that can see - has been solved. Our focus should shift from research to implementation. In this talk, I will share my experiences in bringing various medical image analysis algorithms to the product level and have an impact on healthcare. I will argue that the greatest gains lie not in making healthcare better and even more expensive, but in making it reasonably good and broadly affordable. Beyond this, I will place these efforts in a larger context. Our society is under great pressure from an aging population and environmental catastrophe. Paradoxically, the technology seen by many as humanity's greatest danger - AI - seems to be the only way to navigate these crises. I expect we still have a fighting chance to achieve the best possible outcome, summarized by the great thinker Aaron Bastani as "fully automated luxury communism".
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Speakers:
Prof. Bram van Ginneken
- 14:00 - 15:00
- Abstract Presentations
- 15:00 - 15:30
- Break - Coffee/Tea & Poster Session
- 15:30 - 16:20
- Keynote II - Computational imaging methods on artworks from the Rijksmuseum collection
- In the context of decorative arts, fingerprints have never received sufficient attention from a scientific perspective, even though these are often observed on many artworks created with paint, clay, wax, or bronze. Human impressions detected on works of arts are too readily labelled as ‘fingerprints’ even though an extensive and scientifically driven investigation is missing, thus leading to incorrect or incomplete analyses of such traces. During this talk, I will discuss how biometrics and computer vision, combined with expertise in conservation, art history and forensic science, are necessary to analyze human impressions on works of art. The case study of a sculpture from the Rijksmuseum collection acquired with micro computed tomography (FleX-ray lab, CWI in Amsterdam) will be presented.
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Speakers:
Džemila Šero
- 16:20 - 17:10
- Keynote III - Building stuff that works
- Nothing makes an engineer more happy than a fully functional machine. Running flawlessly whole day long. Automatically all components of a product are assembled, while the whole process is monitored by a perfect pair of eyes: our computer vision system. While the result that should be achieved is crystal clear, the road to this result can be a rocky mountain path. Their are all kinds of technical ravines for you to fall in. But with the right tools and knowledge we can navigate our way to the peak of a great system. We will trace our optics, lay out our software designs, map our needed signals and think about all the dirt that will come along this journey. Based on the lessons learned in the past 25 years, I will guide you to a less rocky journey is building a machine that just works.
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Speakers:
Tom Koopen
- 17:10 - 17:15
- Abstract Award Ceremony
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Speakers:
Prof. Dr. Clarisa Sánchez
- 17:15 - 18:30
- Drinks & Networking




Speakers
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Prof. Bram van GinnekenProfessor at Radboud UMC Nijmegen
Bram van Ginneken was born in 1970 in Nuenen. He studied Physics at Eindhoven University of Technology and Utrecht University. In 1996, he started working on medical image analysis, and started to climb the academic ladder as PhD student, assistant professor, associate professor and full professor. He set up and led the Diagnostic Image Analysis Group at Radboud UMC in Nijmegen from 2010 onwards. In 2023, he decided to step down to focus on a new company, Plain Medical, to improve the efficiency of radiology reporting. Previously, he developed products with Delft Imaging for tuberculosis screening, with MeVis Medical Solutions for lung cancer screening, and with Thirona (a company he co-founded) for chest CT and retinal image analysis. Additionally, he pioneered the concept of challenges in medical image analysis and created grand-challenge.org.
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Tom KoopenEntrepreneur at “De Tijdelijke Expert"
Tom Koopen is a highly experienced professional in computer vision and deep learning. He holds a Master’s Degree in Applied Physics from the University of Twente, specializing in optical measurement systems.
With over 25 years of experience in computer vision, Tom has worked with various companies in the Netherlands. Since 2013 he is an entrepreneur at “de tijdelijke expert”, assisting customers with the application of computer vision technology, focusing on measurements, identification, and sorting of products. Recently he founded “textilemining.eco” to build innovative machines for textile recycling.
He has designed lighting systems, selected and optimized cameras, and written software for thousands of hours. Some of his notable projects include inspecting plastic crates for contamination, improving the sorting of plastics, metals and flower bulbs. He developed a 3D scanner to recognize roof tiles for Luijtgaarden B.V. and measured colors during high-speed printing processes at QI Press Controls. Oh, and don’t forget the beer bottle inspection with 10 per second about 20 years ago.
Tom has been a board member of the Nederlandse Vereniging voor Patroonherkenning en Beeldverwerking (NVPHBV), reflecting his commitment to the field. -
Džemila ŠeroAssistant Professor at University of Twente
Since September 2024, Dzemila Sero is appointed Assistant Professor in Biometrics and Computer Vision at the Data Management and Biometrics Lab at the University of Twente.
Before joining UTwente, she was a two-time recipient of the Migelien Gerritzen Fellowship to conduct independent research at the Conservation & Science Department of the Rijksmuseum following a postdoctoral research training at Centrum Wiskunde & Informatica in Amsterdam. She obtained her PhD in Engineering Science at KU Leuven with a thesis on face recognition from DNA predictable traits.
Her research interests lie mainly in biometrics and computer vision, specifically in 3D face and 2D/3D finger-/palmprint recognition. In particular, she developed her own research line on Heritage Biometrics, which uses computational imaging for artist profiling from human impressions left on artworks.