Luc Florack

Luc Florack is a Full Professor in the Applied Differential Geometry group at Eindhoven University of Technology (TU/e). His research focuses on multiscale and differential geometric representations of medical imaging data, particularly in MRI techniques like diffusion and tagging MRI. He applies these methods to connectomics and myocardial function analysis. He holds an MSc in theoretical physics and a PhD in medical image analysis from Utrecht University. He has authored nearly 200 peer-reviewed papers and served on editorial boards and conference committees. His work includes developing the Sheet Probability Index (SPI) for white matter analysis and stability metrics for optic radiation tractography.

• Affiliations: EAISI, EAISI Health, Center for Analysis, Scientific Computing & Appl., Applied Differential Geometry

Research interests include differential geometry applications to image analysis, tensor calculus, and partial differential equations. His recent work emphasizes clinical workflow integration of mathematical techniques. He has contributed to international conferences and holds roles in Dutch academic organizations like 3TU.AMI and NWO's Mathematics Advisory Board.

Publications span neuroimaging, cardiovascular MRI, and tractography validation. His methods address challenges in quantifying brain sheet structures and improving surgical prediction accuracy.