@techreport{faugeras:inria-00070790, TITLE = {{Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function}}, AUTHOR = {Faugeras, Olivier and Adde, Geoffray and Charpiat, Guillaume and Chefd'Hotel, Christophe and Clerc, Maureen and Deneux, Thomas and Deriche, Rachid and Hermosillo, Gerardo and Keriven, Renaud and Kornprobst, Pierre and Kybic, Jan and Lenglet, Christophe and Lopez-Perez, Lucero and Papadopoulo, Th{\'e}odore and Pons, Jean-Philippe and Segonne, Florent and Thirion, Bertrand and Tschumperl{\'e}, David and Vi{\'e}ville, Thierry and Wotawa, Nicolas}, URL = {https://inria.hal.science/inria-00070790}, NUMBER = {RR-5202}, PAGES = {22}, INSTITUTION = {{INRIA}}, YEAR = {2004}, MONTH = May, KEYWORDS = {MEG ; EEG ; FMRI ; DT-MRI ; MAXWELL EQUATIONS ; INVERSE PROBLEMS ; SEGMENTATION ; LEVEL SETS ; RIEMANNIAN SPACES ; PARTIAL DIFFERENTIAL EQUATIONS ; BROWNIAN MOTION ; DIFFUSION TENSOR ; LIE GROUPS ; EIKONAL EQUATION ; TRACTOGRAPHY ; MUTUAL INFORMATION ; INFORMATION THEORY ; KERNEL PCA ; INFORMATION BOTTLENECK ; RETINOTOPY ; LAPLACE-BELTRAMI OPERATOR ; SHAPE TOPOLOGIES ; HAUSDORFF DISTANCE ; MEAN SHAPE ; COVARIANCE OF SHAPES}, PDF = {https://inria.hal.science/inria-00070790/file/RR-5202.pdf}, HAL_ID = {inria-00070790}, HAL_VERSION = {v1}, }