Luc Florack is full professor in the Applied Differential Geometry (ADG) group of the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His key research interests are multiscale and differential geometric representations of complex imaging data. The application focus is on magnetic resonance imaging (MRI) techniques, notably diffusion and tagging MRI, and on biologically motivated models of ‘early vision’. The approach in all these cases is to depart from a geometrical representation and reformulation of clinical image analysis challenges, such as geodesic tractography for mapping structural brain connectivity (connectomics) and deformation and strain analysis for quantification of myocardial function. The motivation is to bring these hitherto unexploited techniques into the clinical workflow.
Tuition revolves around mathematical techniques for image analysis, tensor calculus, differential geometry, and linear partial differential equations.
Luc Florack holds an MSc in theoretical physics and a PhD in medical image analysis from Utrecht University (with honors, top 2%). He has (co-)authored close to 200 peer reviewed papers, some of which invited. He has been on the editorial board of the Journal of Mathematical Imaging and Vision and has acted as a reviewer for over 30 other journals, conferences and workshops. In 1997 he co-founded the first conference in the biannual series of International Scale Space Conferences (currently also known as SSVM) and has delivered keynote lectures at a wide variety of national and international conferences and seminars.
Luc is a Member of Management Team 3TU.AMI on behalf of TU/e and of the Advisory Board for Mathematics (‘Wiskunde Tafel’) of the Dutch Science Foundation NWO. In the past, he has acted as Treasurer of the Royal Dutch Mathematical Society (KWG), paving the way for its Royal status on the occasion of its 225-th anniversary, together with the Board.
Stability metrics for optic radiation tractographyJournal of Neuroscience Methods (2017)
Quantifying the brain's sheet structure with normalized convolutionMedical Image Analysis (2017)
Adjugate diffusion tensors for geodesic tractography in white matterJournal of Mathematical Imaging and Vision (2016)
Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRINeuroimage (2016)
Functional imaging of murine hearts using accelerated self-gated UTE cine MRIThe International Journal of Cardiovascular Imaging (2015)