Singel 425, Amsterdam, Netherlands

ADS Coffee & Data: Medical Imaging

Join us for an exciting programme on Monday 19 September, where senior researchers from academia and industry will exchange ideas on the role of Data Science in Medical Imaging.

Recent years have seen an ever-increasing volume of medical imaging data and annotations being collected and stored. Processing these large datasets is key to ensure we benefit from the wealth of information available.

This Coffee & Data will highlight recent progresses in this fast-advancing field, together with new opportunities, future proposed directions and the associated challenges.


Location: Doelenzaal (Building C – Ground Floor), UvA Library, Singel 425

09:45-10:00  Welcome reception with coffee

10:00-10:05  Introduction by Max Welling, Research Chair in Machine Learning, Informatics Institute, UvA

10:05-10:35  Wiro Niessen

“Large scale imaging and genetic data analysis in dementia research”

Full Professor of Biomedical Image Processing in the Departments of Radiology and Medical Informatics at the Erasmus MC.

Wiro Niessen’s research interests include many aspects of computer vision, biomedical image analysis, and computer assisted interventions. 

10:35-11:05   Jeroen Tas

Executive Vice President, Connected Care & Health Informatics Businesses, Philips

Jeroen Tas has more than 30 years of global experience as an entrepreneur and senior executive in the financial services, healthcare and information technology industries.

11:05-11:35   Jan Lagendijk

“MRI Guided Radiotherapy: Image Guided Surgery without a Knife”

Professor and Head Radiation Oncology, Radiology and Nuclear Medicine Physics, Universitair Medisch Centrum Utrecht

Jan Lagendijk’s current research line is the application of MRI in radiotherapy. This includes MRI based tumour characterisation and treatment simulation, and the use of MRI for treatment guidance and treatment response assessment.

11:35-11:50 Open Discussion

11:50-12:15 Drinks and snacks

Amsterdam Data Science accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from the Amsterdam region on a regional, national and international level. Through our research we enable businesses and society to better gather, store, analyse and present data to gain valuable insights and make informed decisions.