Geodesic

From medical images to computational meshes
p. 1-7
A three dimensional finite element method for a biological active soft tissue
p. 8-11
Simulation of electrophysiological waves with an unstructured finite element method
p. 12-16
Tumor detection in MR liver images by integrating edge and region information
p. 17-24
Towards a fibre-based constitutive law for the myocardium
p. 25-30
Simulation of the elastic behaviour of the human mandible: experimental validation and material parameter identification
p. 31-33
Cutting simulation of manifold volumetric meshes
p. 34-41
Implicit representations of the human intestines for surgery simulations
p. 42-47
Computational modelling of 1D blood flow and its applications
p. 48-54
Classification of peripheral distal by-pass geometries obtained via reconstruction from MRI
p. 55-60
A nonlinear elastic soft tissue model for craniofacial surgery simultations
p. 61-66
Biomechanical simultation for surgery planning: osteogenic distraction of the mandible
p. 67-72
Quantitative sonography for bone material
p. 73-74
Automatic positioning of surgical instruments during laparoscopic surgery with robots using automatic visual feedback
p. 75-83
Virtual endoscopy: from simulation to optimization of an active endoscope
p. 84-93
Équations de Navier Stokes réduites pour les écoulements biomécaniques: échelles caractéristiques et conditions aux limites
p. 94-97
Segmentation automatique de polypes dans les images IRM du côlon
p. 98-101
Surgical thread simulation
p. 102-107
Modeling and simulation of the formation of vascular networks
p. 108-114
Short-term modelling of the controlled cardiovascular system
p. 115-128
Segmentation morphologique d'images scanners 3D de l'abdomen
p. 129-133
Changes in fluid mechanics after endovascular stenting: the pressure waves point of view
p. 134-139
Numerical simulations of blood flows in arteries for interventional medicines
p. 140-145
Modelling liver tissue properties using a non-linear viscoelastic model ror surgery simulation
p. 146-153
Progress towards model-based estimation of the cardiac electromechanical activity from ECG signals and 4D images
p. 153-162