Georg Langs is Professor for Machine Learning in Medical Imaging at the Medical University of Vienna and the director of the Computational Imaging Research Lab (CIR) at the Department of Biomedical Imaging and Image-guided Therapy. CIR develops machine learning methodology for medical image analysis, the quantification of predictive markers in imaging data and connected patient information, and the identification of phenotypes in large-scale heterogeneous clinical routine data. G. Langs is a mathematician by training, and Research Associate at the Computer Science and Artificial Intelligence Lab at MIT, and Associate Faculty at the Complexity Science Hub Vienna. He is author of more than 200 peer-reviewed papers, and serves in the scientific advisory boards of the European Institute of Biomedical Imaging Research (EIBIR), where he is director of the EIBIR joint initiative on AI in medical imaging.
Georg Langs - Researcher Profile MedUniWien
Title and abstract of his presentation:
Frozen Squirrels - 77 Mio Years of Brain Evolution and its link to development and disease
This talk will discuss reconstructing the evolution of cortical geometry of the human brain and its link to function, behavior and ecology. A joint geometric representation of the cerebral cortices of ninety living species forms the basis of reconstructing ancestral shapes and tracing the evolutionary history of localised cortical expansions, modal segregation of brain function. We will discuss their association to behaviour and cognition, as individual cortical regions follow different sequences of area increase during evolutionary adaptations to dynamic socio-ecological niches. Anatomical correlates of this sequence of events are still observable in living species, and relate to their current behaviour and ecology. A decomposition of the evolutionary history of the shape of the human cortical surface into spatially and temporally conscribed components yields interpretable functional associations, and new evidence relating to the tethering hypothesis.
Monday, March 18, 2024 at 5:00 p.m. // Kolingasse 14-16, (2nd floor, PC seminar room 3)