Prof.dr. Michel Versluis

Get priority for the -possible- live 2021 edition 


Professor Physical and Medical Acoustics - University of Twente 

Michel Versluis graduated with a degree in physics in 1988 from the University of Nijmegen, The Netherlands, with an interest in molecular physics and astrophysics. He specialized in the application of lasers for flame diagnostics, completing his PhD in 1992, followed by postdoctoral research positions at Griffith University (Australia), Lund University (Sweden) and TU Delft. Prof. Versluis is now full professor Physical and Medical Acoustics in the Physics of Fluids group of the University of Twente. He is an expert in ultra high-speed imaging with a particular interest in the use of microbubbles and microdroplets for medical applications, both in imaging and in therapy, and in the physics and control of bubbles and droplets in microfluidic applications in medicine and the nanotechnology industry. Prof. Versluis is program leader of the 4TU program Precision Medicine.


Precision Medicine by integrating multiscale functional imaging and advanced machine learning

Medical imaging offers tools for screening, diagnosis, image-guided interventions, and patient follow-up. These tools should be fast, safe, and precise. Artificial intelligence (AI) has made a successful entry into medical imaging by offering greater image processing speeds and accuracy by using unprecedented computing power. AI is revolutionizing the clinical workflow with automation, faster screening, and improved early detection rates. However, data-driven AI is solely based on post-reconstruction data (the images), making insufficient use of the physical information that is contained in the raw data. Model-driven AI circumvents this black-box approach by introducing fundamental science into the training of neural networks as to constrain the learning on the imaging data. This unique combination of physics and computer science enables novel functional and multimodal precision imaging, that is a faster, safer and ultimately personalized tool for clinical decision support.