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Conference Paper

  1. [ALES-10a]M. Alessandrini, Dietenbeck, T., Barbosa, D. C., D'hooge, J., Basset, O., Speciale, N., Friboulet, D., and Bernard, O., “Segmentation of the Full Myocardium in Echocardiography Using Constrained Level-Sets”, in Computing in Cardiology (CinC 2010), Belfast, UK, 2010, pp. 409-412.
  2. [BARB-10]D. C. Barbosa, Bernard, O., Savu, O., Dietenbeck, T., Heyde, B., Claus, P., Friboulet, D., and D'hooge, J., “Coupled B-spline Active Geometric Functions for Myocardial Segmentation in Cardiac Ultrasound”, in IEEE International Ultrasonics Symposium, San Diego, California, USA, 2010, pp. 1648-1651.
  3. [ALES-10b]M. Alessandrini, Dietenbeck, T., Basset, O., Friboulet, D., and Bernard, O., “Using a geometric formulation of annular-like shape priors for constraining variational level-sets”, in IEEE International Conference on Image Processing (ICIP'2010), Hong Kong, China, 2010, pp. 669-672.
  4. [LIEB-09]H. Liebgott, Ben Salem, A., Basarab, A., Gao, H., Claus, P., D'hooge, J., Delachartre, P., and Friboulet, D., “Tangential sound field oscillations for 2D motion estimation in echocardiography”, in IEEE International Ultrasonics Symposium, Roma, Italy, 2009, pp. 498–501.
  5. [TOUI-09]B. Touil, Basarab, A., Bernard, O., and Friboulet, D., “Influence of system geometry on motion tracking in echocardiographic image sequences”, in IEEE International Symposium on Biomedical Imaging (ISBI), Boston, Massachusetts, USA, 2009, pp. 1150-1153.
  6. [ALES-09a]M. Alessandrini, Friboulet, D., Basset, O., D'hooge, J., and Bernard, O., “Level-set segmentation of myocardium and epicardium in ultrasound images using localized Bhattacharyya distance”, in IEEE International Ultrasonics Symposium, Roma, Italy, 2009, pp. 2468-2471.
  7. [BERN-09b]O. Bernard and Friboulet, D., “Fast medical image segmentation through an approximation of narrow-band B-spline level-set and multiresolution”, in IEEE International Symposium on Biomedical Imaging (ISBI), Boston, Massachusetts, USA, 2009, pp. 45-48.
  8. [TOUI-08]B. Touil, Bernard, O., and Friboulet, D., “Motion decorrelation in echocardiography: Analysis from a realistic simulation”, in IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008, pp. 1469–1472.
  9. [SARO-08]L. Saroul, Bernard, O., Vray, D., and Friboulet, D., “Prostate segmentation in echographic images: a variational approach using deformable super-ellipse and Rayleigh distribution”, in IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008, pp. 129–132.
  10. [BERN-08]O. Bernard, Friboulet, D., Thevenaz, P., and Unser, M., “Variational B-spline level-set method for fast image segmentation”, in IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008, pp. 177–180.
  11. [CAMA-08b]S. Camarasu-Pop, Benoit-Cattin, H., Guigues, L., Clarysse, P., Bernard, O., and Friboulet, D., “Towards a Virtual Radiological Platform Based on a Grid Infrastructure”, in Medical imaging on grids: achievements and perspectives (MICCAI Grid Workshop), New York, USA, 2008, pp. 85-95.
  12. [LIEB-08b]H. Liebgott, Basarab, A., Marincas, S., Bernard, O., and Friboulet, D., “Tangential oscillations for motion estimation in echocardiography”, in IEEE International Ultrasonics Symposium, Beijing, China, 2008, pp. 1761-1764.
  13. [GHAZ-07b]B. Ghazal, Khachab, M., Cachard, C., Friboulet, D., and Mokbel, C., “Classification of contrast ultrasound images using autoregressive model coupled to Gaussian mixture model”, in Conf Proc IEEE Eng Med Biol Soc, Lyon, France, 2007, pp. 331-334.
  14. [GELA-07a]A. Gelas, Schaerer, J., Bernard, O., Friboulet, D., Clarysse, P., Magnin, I. E., and Prost, R., “Radial Basis Functions Collocation Methods For Model-Based Level-set Segmentation”, in IEEE International Conference on Image Processing (ICIP), San Antonio, TX, USA, 2007, vol. 2, pp. 237-240.
  15. [LIEB-07b]H. Liebgott, Bernard, O., Cachard, C., and Friboulet, D., “Field simulation parameters design for realistic statistical parameters of Radio-Frequency ultrasound images”, in IEEE International Ultrasonics Symposium, New-York, USA, 2007, pp. 2247-2250.
  16. [BERN-07b]O. Bernard, Touil, B., Gelas, A., Prost, R., and Friboulet, D., “A RBF-based multiphase level set method for segmentation in echocardiography using the statistics of the radiofrequency signal”, in IEEE International Conference on Image Processing ICIP'07, 2007, vol. 3, pp. 157-160.
  17. [BERN-07a]O. Bernard, Touil, B., Gelas, A., Prost, R., and Friboulet, D., “Segmentation of myocardial regions in echocardiography using the statistics of the radio-frequency signal”, in Functional Imaging and Modeling of the Heart, FIMH'07, Salt Lake City, UT, USA, 2007, vol. 4466, pp. 433-442.
  18. [GHAZ-07a]B. Ghazal, Khachab, M., Cachard, C., Friboulet, D., and Mokbel, C., “Autoregressive modelling application for vascular zones detection in the contrast echographic images”, in ISSPA, Dhubai, United Emirates, 2007.
  19. [BERN-06c]O. Bernard, D'hooge, J., and Friboulet, D., “Statistical modeling of the radio-frequency signal in echocardiographic images using modified K-distribution and Generalized Gaussian distribution”, in IEEE International Ultrasonics Symposium, Vancouver, Canada, 2006, pp. 1710–1713.
  20. [44612]O. Bernard, D'hooge, J., and Friboulet, D., “Statistical modelling of the radio-frequency signal in echocardiographic images based on generalized Gaussian distribution”, in IEEE International Symposium on Biomedical Imaging (ISBI’ 06), Virginia, USA, 2006, pp. pp. 153-156.
  21. [BERN-06e]O. Bernard, D'hooge, J., and Friboulet, D., “Statistical Modeling of the Radio-Frequency Signal in Echocardiographic Images Based on Generalized Gaussian Distribution”, in IEEE International Symposium on Biomedical on Image Processing (ISBI), Washington, USA, 2006, pp. 153-156.
  22. [BERN-06d]O. Bernard, D'hooge, J., and Friboulet, D., “Segmentation of Echocardiographic Images based on Statistical Modelling of the Radio-Frequency”, in European Signal Processing Conference (Eusipco), Florence, Italy, 2006.
  23. [BERN-05]O. Bernard, D'hooge, J., and Friboulet, D., “Segmentation d'images échocardiographiques par contours actifs implicites : exploitation de descripteurs statistiques de régions”, in GRETSI, Louvain-La-Neuve, Belgium, 2005, pp. 359-362.
  24. [DYDE-03e]I. Dydenko, Friboulet, D., and Magnin, I. E., “A variational framework for affine registration and segmentation with shape prior: application in echocardiographic imaging”, in IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision, Nice, France, 2003, pp. 201-208.
  25. [DYDE-03b]I. Dydenko, Rognin, N., Jamal, F., Friboulet, D., and Cachard, C., “Contrast agent detection based on autoregressive spectral estimation”, in World Congress on Ultrasonics, Paris, France, 2003, pp. 193-196.
  26. [DYDE-03d]I. Dydenko, Friboulet, D., D'hooge, J., Bijnens, B., and Magnin, I. E., “Segmentation and tracking of the cardiac muscle in echocardiographic sequences using a level set approach”, in IEEE Ultrasonics Symposium, Honolulu, Hawaii, USA, 2003, pp. 21-24.
  27. [DYDE-02]I. Dydenko, Chehbi, S., Friboulet, D., Clarysse, P., Magnin, I. E., D'hooge, J., and Bijnens, B., “Using an elastic deformable template for the segmentation of ultrasound cardiac radio frequency images based on the velocity information”, in IEEE International Ultrasonics Symposium, Munich, Germany, 2002, pp. 1706-1709.
  28. [DYDE-01]I. Dydenko, Friboulet, D., and Magnin, I. E., “Introducing spectral estimation for boundary detection in echography radiofrequency images”, in Functional Imaging and Modeling of the Heat (FIMH'01), Helsinki, Finland, 2001, pp. 24-31.
  29. [DYDE-00]I. Dydenko, Gorce, J. M., Friboulet, D., and Magnin, I. E., “Estimation spectrale autorégressive avec lissage non-quadratique : application à l'analyse d'image échographiques de radiofréquence”, in 10 ème Forum Jeunes Chercheurs en Génie Biologique et Médical, Tours, France, 2000, pp. 182-183.
  30. [KHOU-99]L. Khouas, Odet, C., and Friboulet, D., “2D Vector field visualization using furlike texture”, in VisSym'9, Vienna, Austria, 1999, pp. 35–44.
  31. [KHOU-98d]L. Khouas, Odet, C., and Friboulet, D., “3D Furlike texture generation by a 2D autoregressive synthesis”, in Proceedings International Conference in Central Europe on Computer (WSCG'98) Graphics and Visualization, Plzen, Czech Republic, 1998, pp. 171–177.
  32. [BOUK-98b]D. Boukerroui, Basset, O., Baskurt, A., Gorce, J. M., Friboulet, D., and Gimenez, G., “Segmentation algorithm of 3D ultrasonic data based on tissue characterisation”, in IEEE International Ultrasonics Symposium, Sendai, Japan, 1998, pp. 1349-1352.
  33. [KHOU-98b]L. Khouas, Odet, C., and Friboulet, D., “A 2D texture model based on an autoregressive approach for 3D furlike texture synthesis”, in Proceedings 10th Workshop on Image and Multidimensional Digital Signal Processing (IMDSP'98), Alpbach, Austria, 1998, pp. 175–178.
  34. [GORC-98a]J. M. Gorce, Friboulet, D., D'hooge, J., Bijnens, B., and Magnin, I. E., “Spectral estimation for RF echographic images using regularized AR models”, in Proceedings 10th Congress of EFSUMB - Euroson'98, Tours, France, 1998, vol. 7, p. S59.
  35. [DHOO-98]J. D'hooge, Gorce, J. M., Bijnens, B., Friboulet, D., Nuyts, J., Thoen, J., Suetens, P., and Van De Werf, F., “Non linear propagation effect on broadband attenuation measurements”, in Proceedings IEEE International Ultrasonics Symposium, Sendai, Japan, 1998, pp. 1385-1388.
  36. [CLAR-97b]P. Clarysse, Friboulet, D., Magnin, I. E., and Revel, D., “Suivi temporel de surfaces déformables - Application à la surface endocardique du VG”, in VIème Colloque 'de la recherche à la découverte' section 22 du CNRS, Reims, France, 1997.
  37. [GORC-97d]J. M. Gorce, Friboulet, D., Robini, M., Bijnens, B., and Magnin, I. E., “Analysis of RF signals in echographic images using a regularized autoregressive model”, in Proceedings 11th Int Conf on Computer Assisted Radiology, Berlin, Germany, 1997, p. 981.
  38. [GORC-97c]J. M. Gorce, Friboulet, D., D'hooge, J., Bijnens, B., and Magnin, I. E., “Autoregressive models for a spectral estimation scheme dedicated to medical ultrasonic radio-frequency images”, in IEEE International Ultrasonics Symposium, Toronto, Canada, 1997, pp. 1461–1464.
  39. [GORC-97b]J. M. Gorce, Friboulet, D., Robini, M., Bijnens, B., and Magnin, I. E., “Regularized autoregressive model preserving spatial discontinuities for analysis of radio-frequency signals in echographic images”, in 6e Colloque GRETSI, Grenoble, France, 1997, pp. 1363–1366.
  40. [CLAR-94a]P. Clarysse, Friboulet, D., and Magnin, I. E., “Time evolution analysis of differential features on 3D surfaces of the heart walls”, in IEEE Medical Imaging Conf., Norfolk, USA, 1994, pp. 1807–1811.
  41. [GORC-94b]J. M. Gorce, Friboulet, D., Clarysse, P., and Magnin, I. E., “Three dimensional velocity field estimation of moving cardiac walls”, in Computers in Cardiology, Bethesda, USA, 1994, pp. 489–492.
  42. [CLAR-93a]P. Clarysse, Friboulet, D., and Magnin, I. E., “Calcul de la courbure 3D des parois cardiaques en imagerie dynamique”, in IVème Colloque 'Thérapeutique et Médicaments, de la recherche à la découverte', Section 22 du Comité National de la Recherche Scientifique, Strasbourg, France, 1993.
  43. [MAUR-93]E. Maurincomme, Friboulet, D., Finet, G., Magnin, I. E., and Reiber, J. H. C., “ADDER : A snake-based segmentation approach for intravascular ultrasound images”, in 2nd Int. Conf. Digit. Image Computing : techniques and applications, Sydney, Australia, 1993, pp. 422–429.
  44. [CLAR-93b]P. Clarysse, Friboulet, D., and Magnin, I. E., “Curvature assessment of the heart walls in 3D. Acquisition, segmentation, quantification”, in Proc Computers in Cardiology, London, UK, 1993, pp. 607–610.
  45. [FRIB-92c]D. Friboulet, Magnin, I. E., Mathieu, C., Pommert, A., and Hohne, K. H., “Assessment and visualization of the curvature of the left ventricle from 3D medical images”, in Conf Proc IEEE Eng Med Biol Soc, Rennes, France, 1992, pp. 21–25.
  46. [FRIB-92a]D. Friboulet, Magnin, I. E., Pommert, A., and Amiel, M., “3D curvature features of the left ventricle from CT volumic data”, in Int. Conf. SPIE, Mathematical Methods in Medical Imaging, San Diego, USA, 1992, vol. 1768, pp. 182–192.
  47. [REVE-92a]D. Revel, Baldy, C., Croisille, P., Friboulet, D., Cazalot, F., Bodart, J. P., Magnin, I. E., and Amiel, M., “Imagerie par Résonance Magnétique et fonction Ventriculaire gauche : possibilités, contraintes et limites”, in GRAMM'92, Bordeaux, France, 1992.
  48. [FRIB-92d]D. Friboulet, Bellon, E., and Magnin, I. E., “Determination of the velocity field of the moving heart using 3D optical flow”, in Journées Françaises de Biomécanique, Metabief, France, 1992.
  49. [FRIB-91]D. Friboulet, Magnin, I. E., Mathieu, C., Revel, D., and Amiel, M., “A model of the left ventricle 3-D global motion : application to MRI data”, in Int. Conf. SPIE, Med. Imaging V, San Jose, USA, 1991, vol. 1445, pp. 106–117.
  50. [FRIB-89b]“Temporal evolution of the left ventricle wall thickness”, in 17e International Congress of Radiology, ICR'89, 1989, p. 988.
  51. [FRIB-89a]“Topological model-based method for 3-D reconstruction of surfaces. Application : cardiac imaging”, in SPIE Int. Conf. on Medical Imaging III, 1989, pp. 502-510.
  52. [FRIB-88]“3D quantitative evaluation of the left ventricular motion from MRI data”, in European Signal Processing Conference (EUSIPCO), 1988, pp. 1255-1258.

Book Chapter

  1. [BERN-15]O. Bernard, Clarysse, P., Dietenbeck, T., Friboulet, D., Jehan-Besson, S., and Pousin, J., “Extraction and segmentation of structures in image sequences”, in Multi-modality Cardiac Imaging: Processing and Analysis, P. Clarysse and Friboulet, D. Hoboken (USA) - London (UK): Wiley-ISTE, 2015, pp. 3-64.
  2. [BERN-15]O. Bernard, Clarysse, P., Dietenbeck, T., Friboulet, D., Jehan-Besson, S., and Pousin, J., “Extraction and segmentation of structures in image sequences”, in Multi-modality Cardiac Imaging: Processing and Analysis, P. Clarysse and Friboulet, D. Hoboken (USA) - London (UK): Wiley-ISTE, 2015, pp. 3-64.
  3. [FRIB-15]O. Bernard, Clarysse, P., Dietenbeck, T., Friboulet, D., Jehan-Besson, S., and Pousin, J., “Extraction et segmentation de structures dans des séquences d’images”, in Traitement et analyse d'images cardiaques, Paris: Hermès-Lavoisier, 2015, pp. 25-82.
  4. [NEYR-14]B. Neyran and Viallon, M., “Analyse, méthodes et post-traitements d’images par RM dynamiques pour la quantification de la perfusion myocardique”, in Traitement et analyse des images cardiaques, vol. 2, P. Clarysse and Friboulet, D. Paris: Hermès-Lavoisier, 2014, pp. 121-155.
  5. [BASA-14]M. Alessandrini, Basarab, A., Bernard, O., and Delachartre, P., “Estimation du mouvement du coeur basée sur la phase en imagerie cardiaque multimodalités”, in Traitement et analyse des images cardiaques, P. Clarysse and Friboulet, D. Paris: Hermès-Lavoisier, 2014, pp. 221-248.
  6. [FRAN-14]A. Frangi, Friboulet, D., Ayache, N., Delingette, H., Glatard, T., Hoogendoorn, C., Humbert, L., Lekadir, K., Larrabide, I., Martelli, Y., Peyrin, F., Planes, X., Sermesant, M., Villa-Uriol, M., Whitmarsh, T., and Atkinson, D., “Image Based Modelling”, in Computational Biomedicine, P. Coveney, Díaz-Zuccarini, V., Hunter, P., and Viceconti, M. Oxford University Press, 2014, pp. 59-83.
  7. [FRIB-93a]D. Friboulet and Magnin, I. E., “A 3-D model of the global deformation of a non rigid body”, in Medical Images : Formation, Handling and Evaluation, vol. F-98, A. Todd-Pokropek and Viergever, M. Springer - NATO ASI Series, Publ., 1993, pp. 305-324.

Book

  1. [CLAR-15]P. Clarysse and Friboulet, D., Traitement et analyse d'images cardiaques. Paris: Hermès-Lavoisier, 2015, p. 344.
  2. [CLAR-15b]P. Clarysse and Friboulet, D., Multi-modality Cardiac Imaging: Processing and Analysis. Hoboken (USA) - London (UK): Wiley-ISTE, 2015, p. 370.

Invited Conference

  1. [BUJO-17]“Simultaneous coded plane wave imaging in ultrasound: problem formulation and constraints”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 6254-6258, 2017.
  2. [FRIB-14]“Segmentation d'images médicales : un parcours via l'imagerie échographique”, Journée "Panorama de techniques d'imagerie biomédicale" de la Communauté de Compétence Technique Traitement du Signal et des Images (CCT-TS) - CNES. Toulouse, France, 2014.
  3. [BASA-13]A. Basarab, Liebgott, H., Bernard, O., Friboulet, D., and Kouamé, D., “Medical ultrasound image reconstruction using distributed compressive sampling”, IEEE International Symposium on Biomedical Imaging (ISBI). pp. 624-627, 2013.
  4. [BERN-13]O. Bernard, Barbosa, D., Alessandrini, M., Friboulet, D., and D'hooge, J., “3D Echocardiography: recent advances and future directions”, VipIMAGE2013 - ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing. 2013.
  5. [LIEB-12a]H. Liebgott, Basarab, A., Kouamé, D., Bernard, O., and Friboulet, D., “Compressive sensing in medical ultrasound”, IEEE International Ultrasonics Symposium (IUS). Dresden (Germany), pp. 1-6, 2012.
  6. [CLAR-12]P. Clarysse and Friboulet, D., “Méthodes de segmentation et modélisation du ventricule gauche en ultrasons et IRM”, Journée du Groupe de Recherche en Imagerie Cardiaque (GRIC) : Analyse d'images cardiaques, Journées Françaises de Radiologie. Paris, France, 2012.
  7. [FRIB-11]D. Friboulet and Bernard, O., “Segmentation of medical ultrasound images”, IEEE International Ultrasonics Symposium. 2011.
  8. [LIEB-10b]H. Liebgott, Basarab, A., Gueth, P., Friboulet, D., and Delachartre, P., “Transverse oscillations for tissue motion estimation”, International Congress on Ultrasonics 2009, Physics Procedia, vol. 3. Santiago (Chile), pp. 235-244, 2010.

HDR

  1. [FRIB-01]D. Friboulet, “Analyse d'images et modélisation en imagerie cardiaque”. INSA Lyon, 2001.
    Lacoume J.L., Chassery J.M. (rap.), Pourcelot L. (rap.), Refregier P. (rap.), Magnin I.E., Revel D. et Vray D.

Miscellaneous

  1. [LIEB-13b]H. Liebgott, Bernard, O., Basarab, A., Boussel, L., Alessandrini, M., Guo, X., Serusclat, A., and Friboulet, D., “Oscillations transverses et estimation du mouvement échocardiographie : le Tagging Ultrasonore”, SIAM - Signal et Image en Acoustique Médicale - Tours. SFA, 2013.
  2. [LORI-12]O. Lorintiu, Bernard, O., Friboulet, D., and Liebgott, H., “Compressive sensing reconstruction in ultrasound medical imaging”. Lyon, 2012.
  3. [GIBA-12]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “Design of an ontology for the annotation of object models used for medical image simulation”. Lyon, 2012.
  4. [LIEB-12c]H. Liebgott, Basarab, A., Kouamé, D., Bernard, O., and Friboulet, D., “Echantillonnage compressé pour l'imagerie ultrasonore médicale”. Paris, France, 2012.
  5. [CLAR-97f]P. Clarysse, Friboulet, D., Magnin, I. E., and Revel, D., “Suivi temporel de surfaces déformables - Application à la surface endocardique du VG”. 1997.

Patent

  1. [VRAY-09]D. Vray, Djaker, N., Guyon, L., Saroul, L., Duboeuf, F., Friboulet, D., and Boutet, J., “Brevet N. 09/04476 : Fantome bi-modalité d'organes et procédé de réalisation associé. Copropriété CEA-CNRS”, 2009.

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