“Artificial Intelligence in the IMAGES team with a special focus in Computational Anatomy” by Pietro Gori

“Artificial Intelligence in the IMAGES team with a special focus in Computational Anatomy” by Pietro Gori

Abstract: In the first part of this talk, I will describe the IMAGES team of the LTCI lab and its main research topics in Artificial Intelligence: machine learning, pattern recognition, knowledge and uncertainty representation, interaction and spatial reasoning. I will present some applications in computer graphics, medical imaging and texture synthesis. The second part of the talk will instead focus on computational anatomy applied to neuro-imaging. I will present a method to statistically describe the anatomical shape and organisation of the components of the brain modelled as geometrical objects (i.e. 3D polylines and surfaces). Being composed of hundreds of millions of points, approximation schemes and multi-resolution strategies will be presented in order to make the proposed method computationally feasible.

Bio: Pietro Gori is Assistant Professor at Télécom ParisTech in the IMAGES team (Image Modeling, Analysis, GEometry & Synthesis). He is also an associated researcher in the Ima-Brain team at the St. Anne hospital in Paris. Prior to that, he did his academic training at Neurospin (CEA, Paris) and with Inria at the Aramis LAB (Paris). He participates to the development of the open source software suite deformetrica for the statistical shape analysis of 2D and 3D image and image-derived data (i.e. landmarks, curves, surfaces). His research interests lie primarily in the field of computational anatomy, statistical learning, shape analysis and medical imaging.