We know imaging.

Rashindra Manniesing is the founder and CEO of XDMD. He holds a master’s degree in Electrical Engineering from Delft University of Technology and a PhD in Medical Image Analysis from Utrecht University. Before founding XDMD, he co-founded a company building evidence-based search and worked as an independent scientific advisor in medical imaging. He is an expert in neurovascular imaging and has authored over 70 publications. Dr. Manniesing solves hard engineering problems and balances attention to detail with long-term vision.

Gastón Creci is the AI engineer of XDMD. He holds a master’s degree in Theoretical Physics and a PhD in Gravitation from Utrecht University, and has authored 8 publications in gravitational physics. His background in theoretical physics gives him expertise in analytical and numerical modeling, a solid foundation for engineering AI models. Dr. Creci took on medical imaging with enthusiasm and without hesitation, and is making the field his own.

Chris de Korte is a full professor of ultrasound imaging at Radboudumc and the University of Twente, and chair of the Medical Ultrasound Imaging Center (MUSIC) at Radboudumc, The Netherlands. He is also a registered medical physicist. He holds a master’s degree in Electrical Engineering from Eindhoven University of Technology and a PhD in Medical Sciences from Erasmus University Rotterdam. His research focuses on functional ultrasound imaging for cardiovascular and oncological applications, for which he has secured over €10M in funding, including personal NWO Veni, Vidi, and Vici grants. He is president of the Netherlands Society for Medical Ultrasound, was general chair of the 2025 IEEE International Ultrasonics Symposium, and has authored over 220 publications. Prof. de Korte has a strong drive to innovate, guided by a deep understanding of the physics of ultrasound and pushing his field forward to improve patient care.

Erik Meijering is a professor of biomedical image computing at the University of New South Wales in Sydney, Australia. He holds a master’s degree in Electrical Engineering from Delft University of Technology and a PhD in Medical Image Analysis from the Image Sciences Institute of Utrecht University. He worked at EPFL in Lausanne and for seventeen years at Erasmus MC in Rotterdam. His research focuses on computer vision methods for reliable and reproducible analysis of biomedical images. He is an IEEE Fellow, served for twenty years as associate editor of IEEE Transactions on Medical Imaging, and co-organizes the Cell Tracking Challenge to compare methods objectively. He has authored over 290 publications. Prof. Meijering is a systematic and thorough thinker who reasons from first principles and holds every method to an objective standard.

Jonas Teuwen is group leader of the AI for Oncology Lab at the Netherlands Cancer Institute, where he leads a team of over 20 researchers working at the intersection of AI, immunology, and medical imaging. He holds a master’s degree in Applied Mathematics from the University of Massachusetts and Delft University of Technology, and a PhD in Pure Mathematics and Applied Physics from Delft University of Technology. Previously he was CTO of Ellogon.AI, where he led the development of diagnostic AI tools and steered their regulatory certification. His work focuses on clinically robust AI for cancer diagnosis and treatment. He has secured over €10M in funding and authored over 100 publications. Prof. Teuwen combines depth in both fundamental and applied AI with strong technical skill.

Marcel van Gerven heads the Artificial Cognitive Systems lab in the Department of Machine Learning and Neural Computing of the Donders Institute for Brain, Cognition and Behaviour at Radboud University, The Netherlands. He is also director of the Nijmegen ELLIS unit and an ELLIS Fellow. He holds a PhD from Radboud University on Bayesian networks for clinical decision support. His research focuses on bridging the gap between artificial and natural intelligence, using techniques rooted in machine learning and neuromorphic computing. He is a Vidi laureate, has received several national and international grants, and has authored over 240 publications. Prof. van Gerven became a full professor at a young age, and is a sharp thinker who is always positive and ready to help.

Thijs Vande Vyvere is a neuroanatomist and neuroscientist, guest professor at the University of Antwerp, and senior researcher at Antwerp University Hospital, Belgium. He holds a master’s degree in Biomedical Sciences and a PhD in Medical Sciences with a focus on Neuroradiology from the University of Antwerp. His research centers on advanced anatomical imaging of the injured brain. He has extensive expertise in medical image interpretation, segmentation, and annotation, and played a key role in developing ground truth datasets for AI. He has authored over 60 publications on traumatic brain injury. Prof. Vande Vyvere combines a meticulous eye for detail with a commitment to deeply understanding what we see in a medical image.