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Conference Paper

  1. [GALL-12b]F. Galluzzo, Speciale, N., Courbebaisse, G., and Bernard, O., A rigorous and efficient GPU implementation of level-set sparse field algorithm, in IEEE International Conference On Image Processing, Orlando, Florida, 2012, pp. 1705-1708 .
  2. [STOI-12]R. Stoica, Pousin, J., Casta, C., Croisille, P., Zhu, Y. M., and Clarysse, P., Integrating fiber orientation constraint into a spatio-temporal FEM model for heart borders and motion tracking in dynamic MRI, in Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, MICCAI STACOM workshop, Nice, France, 2012, Lecture Notes in Computer Science., vol. 7746, pp. 355-363.
  3. [WANG-12a]L. Wang, P. R. Girard, Clarysse, P., and Delachartre, P., Phase extraction of the Analytic Video Signal in Clifford Algebra, in 5th conference on Applied Geometric Algebras in Computer Science and Engineering, La Rochelle, France, 2012.PDF icon Upload_Version -pdf CameraReady_Article_AGACSE_2012v2.2-modify21092012.pdf (561.29 KB)
  4. [YANG-12]F. Yang, Zhu, Y. M., Robini, M., and Croisille, P., DT-MRI interpolation: at what level?, in IEEE Int. Conf. Signal Processing, Beijing (China), 2012, pp. 737-740.
  5. [ZULU-11b]M. A. Zuluaga, Hush, D., Delgado Leyton, E. J. F., Hernández Hoyos, M., and Orkisz, M., Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images, in Medical Image Computing and Computer Assisted Interventions - MICCAI , Toronto, Canada, 2011, vol. LNCS 6893, Part III, pp. 9-16.
  6. [Wang-11]L. H. Wang, Zhu, Y. M., Li, H. Y., Liu, W. Y., and Magnin, I. E., Simulation of Diffusion Anisotropy In DTI for Virtual Cardiac Fiber Structure, in Functional Imaging and Modeling of the Heart (FIMH 2011), New York, 2011, pp. 95-104.PDF icon 66660095.pdf (561.83 KB)
  7. [FRED-11]S. B. Fredj, Glatard, T., Casta, C., and Clarysse, P., An exploration framework for segmentation parameter spaces, in IEEE International Conference on Image Processing , Brussels, Belgium, 2011, p. 2257--2260.PDF icon icip11.pdf (346.24 KB)
  8. [GIRA-11a]P. R. Girard, Pujol, R., Clarysse, P., Marion, A., Goutte, R., and Delachartre, P., Analytic Video (2D+T) Signals by Clifford Fourier Transforms in Multiquaternion Grassmann-Hamilton-Clifford Algebras, in 9th International Conference on Clifford Algebras and Their Applications in Mathematical Physics, Editor, K. Gürlebeck. , Weimar, Germany, 2011.
  9. [GUTI-11]F. A. Gutiérrez Ossa, Ortega, D. C., Orkisz, M., Uriza, L. F., and Hernández Hoyos, M., Automatic segmentation of pulmonary arterial tree in Computed Tomography images, in Sexto Congreso Colombiano de Computación (6CCC), Manizales, Colombia, 2011, p. 6 in electronic proc.
  10. [COUR-10b]R. Bouffanais, Courbebaisse, G., Navarro, L., and Deville, M. O., Wavelet Analysis of the Turbulent LES Data of the Lid-Driven Cavity Flow, in International Conference on Turbulence and Interactions - TI 2009, Martinique, France, 2010, pp. 87-94, vol. 110.
  11. [ZULU-10b]M. A. Zuluaga, Orkisz, M., Hernández Hoyos, M., Lozano Martínez, F., and Magnin, I. E., Towards vascular abnormality detection: an SVM approach, in 24rth CARS - Comput Assisted Radiol Surg, Geneva, Switzerland, 2010, vol. 5-suppl.1, pp. S355-6 (abstract).
  12. [MORA-10]A. Morales Pinzón, Orkisz, M., Teillaud, S., Sánchez, J. A., and Hernández Hoyos, M., Extracción semi-automática de ejes de canales de corales, in Sexto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, Bogotá, Colombia, 2010, p. 10 pages in electronic proceedings.
  13. [ZULU-10e]M. A. Zuluaga, Delgado Leyton, E. J. F., Hernández Hoyos, M., and Orkisz, M., Feature selection for SVM-based vascular anomaly detection, in MICCAI Workshop on Medical Computer Vision, Beijing, China, 2010, vol. LNCS 6533, pp. 141-152.
  14. [FLOR-10c]L. Flórez-Valencia, Azencot, J., and Orkisz, M., Carotid arteries segmentation in CT images with use of a right generalized cylinder model, in Quinto Congreso Colombiano de Computación (5CCC), Cartagena de Indias, Colombia, 2010, p. 6 in electronic proc.
  15. [CAST-10]C. Casta, Clarysse, P., Pousin, J., Schaerer, J., Croisille, P., and Zhu, Y. M., Incorporating low-level constraints for the retrieval of personalised heart models from dynamic MRI, in Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM), MICCAI 2010 Workshop, 2010, vol. LNCS 6364, pp. 174-183.
  16. [VAND-09]J. Vandemeulebroucke, Kybic, J., Clarysse, P., and Sarrut, D., Respiratory motion estimation from cone-beam projections using a prior model, in Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), London, UK, 2009, pp. 365-372.
  17. [BENM-09]F. Benmansour, Cohen, L. D., Dávila Serrano, E. E., Douek, P., Orkisz, M., and Zuluaga, M. A., New Interactive Methods for Tubular Structure Segmentation on Medical Images, in 12th ISRACAS - Israeli Symposium on Computer-Aided Surgery, Medical Robotics, and Medical Imaging, Tel-Aviv, Israel, 2009, p. 10 in CD.
  18. [ZULU-09a]M. A. Zuluaga, Hernández Hoyos, M., and Orkisz, M., Evaluation of partial volume effects in computer tomography for the improvement of coronary artery segmentation, in 23rd CARS - Comput Assisted Radiol Surg, Berlin, Germany, 2009, vol. 4-suppl.1, pp. S40-1 (abstract).
  19. [ZULU-09d]M. A. Zuluaga, Hernández Hoyos, M., and Orkisz, M., Evaluación del efecto de volumen parcial en imágenes TAC para el mejoramiento de la segmentación arterial coronaria, in Quinto Seminario de Ingeniería Biomédica y Quinto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, Bogota, Colombia, 2009, p. 4 in electronic proc.
  20. [ROBI-09]M. Robini, Viverge, P. - J., Zhu, Y. M., and Magnin, I. E., Edge-preserving image reconstruction with wavelet-domain edge continuation, in Proc. 6th Int. Conf. Image Analysis and Recognition, Halifax, Canada, 2009, pp. 13-22.
  21. [FLOR-09]L. Flórez-Valencia, Azencot, J., and Orkisz, M., Carotid arteries segmentation in CT images with use of a right generalized cylinder model, in MICCAI Workshop - 3D Segmentation in the Clinic: A Grand Challenge III, London, GB, 2009, p. 8 on-line.
  22. [CAST-09]C. Casta, Clarysse, P., Schaerer, J., and Pousin, J., Evaluation of the Dynamic Deformable Elastic Template model for the segmentation of the heart in MRI sequences, in Midas Journal: MICCAI Workshop - 3D Segmentation in the Clinic: A Grand Challenge III, London, UK, 2009.
  23. [ZULU-09c]M. A. Zuluaga, Orkisz, M., Delgado Leyton, E. J. F., Doré, V., Morales Pinzón, A., and Hernández Hoyos, M., Adaptación del algoritmo MARACAS para la segmentación de la bifurcación de la arteria carótida y cuantificación de estenosis en imágenes TAC, in Quinto Seminario de Ingeniería Biomédica y Quinto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, Bogota, Colombia, 2009, p. 5 in electronic proc.
  24. [HERN-08]M. Hernández Hoyos, Zuluaga, M. A., Lozano, M., Prieto, J. C., Douek, P., Magnin, I. E., and Orkisz, M., Coronary centerline tracking in CT images with use of an elastic model and image moments, in MICCAI Workshop - Grand Challenge Coronary Artery Tracking, New York City, USA, 2008, p. 8 on-line: http://hdl.handle.net/10380/1401.
  25. [SCHA-08]J. Schaerer, Pousin, J., and Clarysse, P., A new singular perturbation approach for image segmentation tracking, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, pp. 1445–1448.
  26. [FRIN-08]C. Frindel, Gueth, P., Clarysse, P., Zhu, Y. M., and Robini, M., A global approach to cardiac tractography, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, pp. 883–886.
  27. [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.
  28. [BERK-08a]M. Berkane, Clarysse, P., and Magnin, I. E., Spatio-temporal summarizing method of periodic sequences with Kohonen maps, in Artificial Neural Networks - ICANN 2008, Pragues, Czech Republic, 2008, vol. LNCS 5163, pp. 818–826.
  29. [BERK-08b]M. Berkane, Clarysse, P., and Magnin, I. E., A Neural Network-Based Approach to Motion Estimation with Discontinuities, in Hybrid Intelligent Systems, 2008 (HIS '08). Eighth International Conference on, Barcelona, Spain, 2008, pp. 356-361.
  30. [SIGO-08]M. Sigovan, Hamoudeh, M., Al Faraj, A., Fessi, H., and Canet-Soulas, E., Positive Contrast with Therapeutic Iron Nanoparticles at 4.7T, in International Society of Magnetic Resonance in Medicine, Toronto, Canada, 2008.
  31. [BERK-08c]M. Berkane, Clarysse, P., and Magnin, I. E., Une approche neuronale pour l'extraction de résumé de séquences d'images pour des phénomènes quasi-périodiques, in Journées d'Etudes Algéro-Françaises en Imagerie Médicale, JETIM'08, Tipaza, Algérie, 2008, pp. 83-87.
  32. [NAVA-08b]L. Navarro, Courbebaisse, G., and Pinoli, J. C., Reassigned Three Dimentional Phase Spectrogram and Ground Reaction Forces, in EUSIPCO, European Signal Processing Conference, Lausanne, Switzerland, 2008, p. (CD).
  33. [ROBI-08]M. Robini and Magnin, I. E., Stochastic continuation, in 4th SIAM conf. on Imaging Science, San Diego (California), 2008, p. 134.
  34. [VAND-08]J. Vandemeulebroucke, Clarysse, P., Kybic, J., and Sarrut, D., Estimating Respiratory Motion from Cone-Beam Projections, in In Medical Image Computing and Computer-Assisted Intervention MICCAI'2008, The First International Workshop on Pulmonary Image Analysis, New York, 2008.
  35. [ROBI-07a]M. Robini and Magnin, I. E., Stochastic Continuation. Opening new horizons to solving difficult optimization problems, in Proc. 14th IEEE Workshop on Statistical Signal Processing, Madison, Wisconsin, 2007, pp. 264-268.
  36. [DELH-07]B. Delhay, Clarysse, P., and Magnin, I. E., Locally adapted spatio-temporal deformation model for dense motion estimation in periodic cardiac image sequences, in Functional Imaging and Modeling of the Heart, Salt Lake City, UT, USA, 2007, vol. LNCS 4466, pp. 393-402.

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