Variational, geometric, and statistical methods for modeling brain anatomy and function

NeuroImage

Volumn 23, Issue SUPPL. 1, 2004, Pages

  Faugeras, Olivier ^a,b   Adde, Geoffray ^a   Charpiat, Guillaume ^a   Chefd'Hotel, Christophe ^a   Clerc, Maureen ^a   Deneux, Thomas ^a   Deriche, Rachid ^a   Hermosillo, Gerardo ^a   Keriven, Renaud ^a   Kornprobst, Pierre ^a   Kybic, Jan ^a   Lenglet, Christophe ^a   Lopez Perez, Lucero ^a   Papadopoulo, Théo ^a   Pons, Jean Philippe ^a   Segonne, Florent ^a   Thirion, Bertrand ^a   Tschumperlé, David ^a   Viéville, Thierry ^a   Wotawa, Nicolas ^a  

^a UNIVERSITÉ PARIS EST   (France)

^b INRIA   (France)

Author keywords

Brownian motion; Diffusion tensor; DT MRI; EEG; Eikonal equation; fMRI; Information theory; Inverse problems; Kernel PCA; Level sets; Lie groups; Maxwell equations; MEG; Mutual information; Partial differential equations; Riemannian spaces; Segmentation; Tractography

Indexed keywords

ANATOMICAL VARIATION; BRAIN CORTEX; BRAIN FUNCTION; BRAIN TISSUE; CONFERENCE PAPER; DECOMPOSITION; DENSITY FUNCTIONAL THEORY; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; ELECTROENCEPHALOGRAM; GEOMETRY; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBLEM SOLVING; RETINOPATHY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STOCHASTIC MODEL; WHITE MATTER;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, ANATOMIC; MODELS, STATISTICAL; NEURAL PATHWAYS; RETINA;

EID: 7044223167     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.07.015     Document Type: Conference Paper

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