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@INPROCEEDINGS{CAM10,
  author = {Camara, O. and Riccobene, C. and Romero, D. and Sebasti\ an, R. and
	Sukno, F. and Butakoff, C. and de Craene, M. and Omedas, P. and Frangi,
	A. F., and Velut, J. and Philipot, C. and Toumoulin, C. and Rodriguez,
	B. and Lamata, P. and Duckett, S. and Razavi, R. and Groth, A. and
	Weese, J. and Ecabert, O.},
  title = {Integrative software framework for a better understanding, patient
	selection and planning of Cardiac Resynchronization Therapy patients},
  booktitle = {VPH Industry Meeting},
  year = {2010},
  owner = {euHeart},
  timestamp = {2010.07.21}
}

@INPROCEEDINGS{DU08,
  author = {Du, Xian and Velut, J. and Bolbos, R. and Beuf, O. and Odet, C. and
	Benoit-Cattin, H.},
  title = {3-D knee cartilage segmentation using a smoothing B-Spline active
	surface},
  booktitle = {Proc. 15th IEEE International Conference on Image Processing ICIP
	2008},
  year = {2008},
  pages = {2924--2927},
  abstract = {We present an adaptive solution for guinea pig knee cartilage segmentation
	using a 3-D smoothing B-Spline active surface. An adaptive parametric
	combination of edge-based forces and balloon force solves the problem
	of capture range of external forces. The comparison between the results
	of the experiments using this method and previous 3-D validated snake
	segmentation shows that the accuracy and robustness are improved.},
  doi = {10.1109/ICIP.2008.4712407},
  issn = {1522-4880},
  keywords = {image segmentation, medical image processing, splines (mathematics),
	3D knee cartilage segmentation, adaptive parametric combination,
	balloon force, biomedical image processing, edge-based forces, smoothing
	B-spline active surface, snake segmentation, MRI, biomedical image
	processing, image segmentation, spline functions},
  timestamp = {2009.04.17}
}

@INPROCEEDINGS{GAR10,
  author = {Garcia, Marie-Paule and Toumoulin, Christine and Haigron, Pascal
	and Velut, Jérôme and Garreau, Mireille and Boulmier, Dominique},
  title = {Coronary vein tracking from MSCT using a minimum cost path approach},
  booktitle = {ISBI},
  year = {2010},
  pages = {17--20},
  month = {April},
  publisher = {IEEE},
  abstract = {In this paper, we deal with the problem of tracking the coronary venous
	tree from Multi-Slice Computed Tomography (MSCT) angiography. Contrast
	inhomogeneities are a major issue. The proposed tracking procedure
	is based on minimum-cost path computation and makes use of ‘Fast-Marching’
	technique. The algorithm aims at propagating a front inside a vascular
	structure and extracting a centered path. To achieve this goal, a
	specific cost function which combines the vessel local orientation
	to a vesselness measure is designed. Experiments on synthetic data
	and real data have been performed. Coronary veins with contrast difficulties
	are extracted with a low computing time.},
  timestamp = {2010.01.18}
}

@PHDTHESIS{VEL07.2,
  author = {Velut, J\'er\^ome},
  title = {Segmentation par mod\`ele d\'eformable surfacique localement r\'egularis\'e
	par spline lissante},
  school = {INSA-Lyon},
  year = {2007},
  month = {december},
  abstract = {Image segmentation through deformable models is a method that localizes
	object boundaries. When difficult segmentation context are proposed
	because of noise or a lack of information, the use of prior knowledge
	in the deformation process increases segmentation accuracy. Medical
	imaging is often concerned by these context. Moreover, medical applications
	deal with large amounts of data. Then it is mandatory to use a robust
	and fast processing.
	
	This question lead us to a local regularisation of the deformable
	model. Highly based on the active contour framework, also known as
	\emph{snake}, we propose a new regularization scheme. This is done
	by filtering the displacements at each iteration. The filter is based
	on a smoothing spline kernel whose aim was to approximate a set of
	points rather than interpolating it.
	
	We point out the consistency of the regularization parameter in such
	a method. It deals with a real, positive λ value that tunes the cut-off
	frequency of a low-pass filter. As it is possible to link analytically
	the cut-off frequency and the sampling frequency, one may give a
	metric meaning to this cut-off frequency. Moreover a different λ
	value should be set at each point through a variation of the filter's
	coefficients. It induces a local cut-off frequency and a local regularization.
	
	This new regularization method should be applied to surfaces. The
	main difficulty concerns the connectivity of the surface mesh. It
	has to be 4-valenced everywhere due to the bidimensionnal fashion
	of the filter. Segmentation results are given for such meshes. A
	special process of singular points on spherical mesh is proposed.}
}

@INPROCEEDINGS{VEL08,
  author = {Velut, J. and Benoit-Cattin, H. and Odet, C.},
  title = {IIR filtering of surface meshes for the regularization of deformable
	models},
  booktitle = {Proc. 15th IEEE International Conference on Image Processing ICIP
	2008},
  year = {2008},
  pages = {1077--1080},
  abstract = {A new adaptive IIR filtering of surface meshes by smoothing B-spline
	is proposed. We define some ad hoc processing of borders and singular
	points for genus 0 meshes. By adapting the filter cut-off frequency
	to the local mesh sampling, it enables homogeneous smoothing of non-uniform
	meshes. We present genus 0 and genus 1 meshes filtering as well as
	volume segmentations. These segmentations have been obtained using
	the IIR filtering of deformation forces within a smoothing B-Spline
	active surface.},
  doi = {10.1109/ICIP.2008.4711945},
  issn = {1522-4880},
  keywords = {IIR filters, adaptive filters, image segmentation, mesh generation,
	splines (mathematics), ad hoc processing, adaptive IIR filtering,
	deformable models, deformation forces, filter cut-off frequency,
	homogeneous smoothing, local mesh sampling, nonuniform meshes, smoothing
	B-spline, surface meshes, volume segmentations, Adaptive signal processing,
	geometric modeling, image segmentation, surfaces},
  timestamp = {2009.04.17}
}

@ARTICLE{VEL07.1,
  author = {Velut, J\'er\^ome and Benoit-Cattin, Hugues and Odet, Christophe},
  title = {Locally Regularized Smoothing B-Snake},
  journal = {EURASIP Journal on Advances in Signal Processing},
  year = {2007},
  volume = {2007},
  pages = {Article ID 76241, 12 pages},
  note = {doi:10.1155/2007/76241},
  timestamp = {2009.02.24}
}

@INPROCEEDINGS{VEL06.1,
  author = {Velut, J\'er\^ome and Benoit-Cattin, Hugues and Odet, Christophe},
  title = {Locally Regularized Snake Through Smoothing B-Spline Filtering},
  booktitle = {EUSIPCO},
  year = {2006},
  pages = {In proceedings},
  address = {Firenze},
  abstract = {In this paper we propose a locally regularized snake based on smoothing-spline
	filtering. The proposed algorithm associates this regularization
	process to a force equilibrium scheme leading the snakes deformation.
	The regularization level is controlled through a unique parameter
	that can vary along the contour: It provides a locally regularized
	smoothing B-snake that offers a powerful framework to introduce prior
	knowledge. We illustrate the snake behavior on MRI images, with global
	and local regularization.},
  timestamp = {2009.02.24}
}

@INPROCEEDINGS{VEL06.2,
  author = {Velut, J\'er\^ome and Benoit-Cattin, Hugues and Odet, Christophe},
  title = {Segmentation by Smoothing B-Spline Active Surface},
  booktitle = {ICIP},
  year = {2006},
  pages = {209-212},
  address = {Atlanta GA},
  abstract = {In this paper, a new active surface based segmentation algorithm is
	proposed. The regularization process is done trough smoothing B-spline
	filtering of the mesh point displacements. Such a regularization
	is controlled by a unique parameter Lambda that tunes the cut-off
	frequency of the smoothing B-spline filter. This approach is fast
	due to the 1D digital filtering used. It is well adapted to quadrangular
	meshes homeomorphic to a plan (plan, torus, cylinder). Furthermore,
	by using a specific management of singular points, genus zero surfaces
	can be used in the segmentation process.},
  timestamp = {2009.02.24}
}

@INPROCEEDINGS{VEL10.2,
  author = {Velut, J\'er\^ome and Lentz, Pierre-Axel and Philipot, Cl\'ement
	and Garcia, Marie-Paule and Toumoulin, Christine},
  title = {A qualitative and quantitative study of coronary artery MRA},
  booktitle = {EMBC},
  year = {2010},
  pages = {in--press},
  publisher = {IEEE},
  timestamp = {2010.01.18}
}

@INPROCEEDINGS{VEL10.3,
  author = {Velut, J\'er\^ome and Philipot, Cl\'ement and Riccobene, Chiara and
	Omedas, Pedro and Frangi, Alejandro F. and Toumoulin, Christine},
  title = {Prototype tool for the extraction of the coronary vessels centreline},
  booktitle = {VPH Conference},
  year = {2010},
  abstract = {This work is part of the euHeart project, a VPH representative dedicated
	to a multiscale patient-specific modelling of the heart. In this
	context, the work package WP3 focuses on the personalization of anatomical
	models and provides software tools for the clinical applicative packages.
	Because of the number of euHeart partners, a motivation was to develop
	the software tools in a unified environment, thus to give a homogeneous
	interface for end-users. The choice of GIMIAS has been made within
	the consortium as the integrating framework. We present here a set
	of vascular image analysis tools developed as a GIMIAS plug-in.},
  timestamp = {2010.07.21}
}

@INPROCEEDINGS{VEL10.1,
  author = {Velut, J\'er\^ome and Toumoulin, Christine and Coatrieux, Jean-Louis},
  title = {3D coronary structure tracking algorithm with regularization and
	multiple hypotheses in MRI},
  booktitle = {ISBI},
  year = {2010},
  pages = {37--40},
  publisher = {IEEE},
  timestamp = {2010.01.18}
}

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