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: 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
Speakers:
Prof. Dr. Clarissa Sánchez
13:10 - 14:00
Keynote I
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
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.
Speakers:
Tom Koopen
17:10 - 17:15
Abstract Award Ceremony
Speakers:
Prof. Dr. Clarissa Sánchez
17:15 - 18:30
Drinks & Networking
Prof. Dr. Clarissa Sánchez
Prof. Dr. Clarissa Sánchez
Full Professor of AI and Health at University of Amsterdam/ Amsterdam UMC
Prof. Bram van Ginneken
Prof. Bram van Ginneken
Radboud UMC Nijmegen
Prof.dr.ir. Bram van Ginneken is Professor of Medical Image Analysis at Radboud University Medical Center and chairs the Diagnostic Image Analysis Group. The DIAG group consists of about 60 researchers in deep learning image analysis for various applications in radiology, pathology, ophthalmology and also radiotherapy. It is the world’s largest group in medical imaging with a focus on deep learning image analysis. He also works for Fraunhofer MEVIS in Bremen, Germany, and is a founder of Thirona, a company that develops software and provides services for medical image analysis. He studied Physics at Eindhoven University of Technology and Utrecht University. In 2001, he obtained his PhD cum laude at the Image Sciences Institute on Computer-Aided Diagnosis in Chest Radiography. He has (co-)authored over 250 publications in international journals. He is member of the Editorial Board of Medical Image Analysis. He pioneered the concept of challenges in medical image analysis and is founder of the www.grand-challenge.org platform.
Tom Koopen
Tom Koopen
Entrepreneur 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.

Date

16 January 2025

Time

to be annouced
All Day

Cost

€30.00

More Info

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Location

UMC Utrecht
Heidelberglaan 100, 3584 CX Utrecht
Website
http://www.umcutrecht.nl/
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Speakers

  • Prof. Bram van Ginneken
    Prof. Bram van Ginneken
    Radboud UMC Nijmegen

    Prof.dr.ir. Bram van Ginneken is Professor of Medical Image Analysis at Radboud University Medical Center and chairs the Diagnostic Image Analysis Group. The DIAG group consists of about 60 researchers in deep learning image analysis for various applications in radiology, pathology, ophthalmology and also radiotherapy. It is the world’s largest group in medical imaging with a focus on deep learning image analysis. He also works for Fraunhofer MEVIS in Bremen, Germany, and is a founder of Thirona, a company that develops software and provides services for medical image analysis. He studied Physics at Eindhoven University of Technology and Utrecht University. In 2001, he obtained his PhD cum laude at the Image Sciences Institute on Computer-Aided Diagnosis in Chest Radiography. He has (co-)authored over 250 publications in international journals. He is member of the Editorial Board of Medical Image Analysis. He pioneered the concept of challenges in medical image analysis and is founder of the www.grand-challenge.org platform.

  • Tom Koopen
    Tom Koopen
    Entrepreneur 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.

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