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Domain : 3D Learning Vision Constraint Prog. Sustain. Devel. Medical
Brain anatomy and function
[TBE09] Graph-based variability estimation in single-trial event-related neural responses
[PhD09c] Shortest paths calculations and applications to medical imaging
[MICCAI09] Brain Connectivity using Geodesics in HARDI
[ISMRM09] A Hough transform global approach to diffusion MRI tractography
[CSN09] How do the solutions of neural mass equations bifurcate : a functional analysis framework
[NeuralComp09] Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks
[NeuroComp08] Bifurcations in neural masses
[ISBI08] SIFT-based Sequence Registration and Flow-based Cortical Vessel Segmentation applied to High Resolution Optical Imaging Data
[CERTIS0838] Extraction of Centerlines Networks over an Orientation Domain
[IPMI07] High-quality consistent meshing of multi-label datasets
[TIP07b] Cortical surface shape analysis based on spherical wavelets
[ICPR06f] Shape-based discrimination and classification of cortical surface
[CVPR06] Control theory and fast marching methods for brain connectivity mapping
[MMBIA06] Cortical surface shape analysis based on spherical wavelet transformation
[NeuroImage06] An Automated Labeling System for Subdividing the Human Cerebral Cortex on MRI Scans into Gyral Based Regions of Interest
[INRIA5845] Control theory and fast marching methods for brain connectivity mapping
[HBM05] Shape Analysis of Neuroanatomical Structures Based on Spherical Wavelets
[HBM04] fMRI data smoothing constrained to the cortical surface: A comparison of the level-set and mesh-based approaches
[Neuroimage04b] Sequence-Independant Segmentation of Magnetic Resonance Images
[BIOEM04] Metallic Electrodes and Leads in Simulation EEG-MRI: Specific Absoption Rate (SNR) Simulation Studies
[CC04] Automatically Parcellating the Human Cerebral Cortex
[Neuroimage04] Variational, geometric and statistical methods for modeling brain anatomy and function
[Neuroimage04c] A Hybrid Approach to the Skull Stripping Problem in MRI
[MSMIT02] Unsupervised Skull Stripping in MRI

Segmentation and Topology
[ITCMISS07] Integration of Topological Constraints in Medical Image Segmentation
[IJCV07c] Active Contours Under Topology Control. Genus Preserving Level Sets
[TIP07a] Geometrically-Accurate Topology Simplification of Triangulated Cortical Surfaces Using Non-Separating Loops
[CERTIS0624] Geometrically-Accurate Topology Simplification of Triangulated Cortical Surfaces Using Non-Separating Loops
[PhD05b] Segmentation of Medical Images under Topological Constraints
[AIM0520] A novel active contour framework: Multi-component level set evolution under topology control
[CVBIA05b] A novel level set framework for the segmentation of medical images under topology control
[IPMI05] A Genetic Algorithm for the Topology Correction of Cortical Surfaces
[MICCAI03c] Topological Correction of Subcortical Segmentation

[HDR07] Brain functional imaging :simulation, calibration and estimation
[INRIA07] Cortical mapping by Laplace-Cauchy transmission for electroencephalography using boundary element method
[MICCAI2007b] Combinatorial Optimization for Electrode Labeling of EEG Caps
[NFSI07] Low dimensional representations of MEG/EEG data using laplacian eigenmaps
[NFSI07b] Conductivity estimation for EEG: what is relevant ?
[EMBC07] Automatic Labeling of EEG Electrodes Using Combinatorial Optimization
[EMBC07b] Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps
[EMBC07c] Computation of the electrical potential inside the nerve induced by an electrical stimulus
[EMBC07d] Topography time-frequency atomic decomposition for event related M/EEG signals
[IPMI07b] Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
[SPIEMI07] Neural mass model parameter identification for MEG/EEG
[CERTIS0736] Combinatorial optimization for electrode labeling of EEG caps
[ISBI07] In vivo conductivity estimation using somatosensory evoked potentials and cortical constraint on the source
[BIOMAG06a] Topography-time-frequency models for single-event M/EEG analysis
[BIOMAG06b] Implicit meshes for MEG/EEG. Forward problem with 3D finite element method
[HBM06a] Simultaneous estimation of single dipolar source and head tissue conductivities
[HBM06b] Time-frequency-topography adaptive templates for single-trial MEG/EEG analysis
[HBM06c] EEG source localization by best approximation of functions
[PMB06] Generalized head models for MEG/EEG: BEM beyond nested volumes
[PhD05c] Méthodes de Traitement d'Image Appliquées au Problème Inverse en Magnéto-Electro-Encéphalographie
[ESAIM05] Boundary Element formulation for Electrical Impedance Tomography
[TMI05] Integral Formulations for the EEG Problem
[NFSI05] Imaging Methods for MEG/EEG Inverse Problem
[PMB05] Fast multipole acceleration of the MEG/EEG boundary element method
[NFSI03] Anatomy-based regularization for the inverse MEEG problem
[NFSI03b] Symmetric BEM and Multiscale Fast Multipole
[IPMI03] Symmetric BEM Formulation for the M/EEG Forward Problem
[BIOMAG02] Comparison of BEM and FEM methods for the E/MEG problem
[HBM02] A level set method for the inverse EEG/MEG problem
[ISBI02] The fast multipole method for the direct E/MEG problem
[AIP01] A level set method for the inverse eeg/meg problem
[CERMICS195] Méthodes intégrales pour le problème direct de la magnéto-électro-encéphalographie tridimensionnelle
[INRIA3673] The inverse EEG and MEG problems: The adjoint space approach I: The continuous case

Active Shapes - Shape priors
[PhD07] Registration \& Modeling of Shapes with Uncertainties : Contributions and Applications to Knowledge Based Segmentation
[MICCAI2007] Active-Contour-Based Image Segmentation using Machine Learning Techniques
[MMBIA07] From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
[VLSM05a] Uncertainty-driven Non-parametric Knowledge-based Segmentation: The Corpus Callosum Case
[MICCAI04d] Implicit Active Shape Models for 3D Segmentation in MR Imaging

Neurons on GPUs
[NeuroComp06] Simulation rapide de modèles de neurones impulsionnels sur carte graphique
[GPUICCS06b] Spiking neurons on GPUs
[CERTIS0515] Spiking neurons and GPUs

2D-3D Registration
[CVBIA05a] Registration of 3D angiographic and X-ray images using Sequential Monte Carlo sampling

Echocardiographic segmentation
[CERTIS0510] Uncertainty-driven Non-parametric Knowledge-based Segmentation: The Corpus Callosum Case
[SS05] Active Shape Models & Segmentation of the Left Ventricle in Echocardiography
[MICCAI04b] Border Detection on Short Axis Echocardiographic Views Using a Region based Ellipse-Driven framework

Automatic coronary vessels segmentation
[CERTIS0503] Monte-carlo Sampling, Particle Filters and Segmentation of Coronaries
[MICCAI05a] Particle Filters, a Quasi-Monte Carlo solution for segmentation of coronaries
[MICCAI04c] Automatic heart peripheral vessels segmentation based on a normal MIP ray casting technique

Cardiac Image Analysis
[ISBI04] Variational Methods and Partial Differential Equations in Cardiac Image Analysis

Cortex unfolding
[MICCAI04a] Area preserving cortex unfolding

Computer-Aided Segmentation
[MICCAI03a] User and Computer-aided Boundary Delineation through the Propagation of Implicit Surfaces

Local Non Rigid Registration
[MICCAI03b] Establishing Local Correspondences towards Compact Representations of Anatomical Structures

Vessel segmentation
[MIA01] CURVES: Curve Evolution for Vessel Segmentation
[CVPR00] Co-dimension 2 geodesic active contours for the segmentation of tubular structures
[IPMI99] Co-dimension 2 geodesic active contours for mra segmentation
[MICCAI98] Segmentation of bone in clinical knee mri using texture-based geodesic active contours