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Publications of M. Orkisz
Book chapters
  1. [DOUE-05x] P. Douek, M. Hernández Hoyos, and M. Orkisz. Image Processing in Contrast-Enhanced MR Angiography. In Magnetic Resonance Angiography, pages 55-64. G. Schneider, M.R. Prince, J.F.M. Meaney, and V.B. Ho, editors. Springer, Milan, Italy, 2005.


  2. [ORKI-04] M. Orkisz and M. Hernández Hoyos. Podstawy technik segmentacji stosowanych w przetwarzaniu obrazow 3D naczyn krwionosnych. In Polska Akademia Nauk Biocybernetyka i Inzynieria Biomedyczna 2000, Obrazowanie biomedyczne, volume 8, pages 351-372. M. Nalecz, L. Chmielewski, J. M. Kulikowski, and A. Nowakowski, editors. Akademicka Oficyna Wydawnicza EXIT, Publ., Warszawa, Poland, 2004.


  3. [ORKI-02d] M. Orkisz and M. Hernández Hoyos. Développement récent dans le traitement d'images : principes des techniques de segmentation. In Angiographie par Résonance Magnétique, pages 62-73. P. Douek, J. P. Laissy, C. Levy, and H. Trillaud, editors. Masson, Publ., 2002.


Dissertations/HDR
  1. [ORKI-03] M. Orkisz. Segmentation de formes linéiques et suivi d'objets déformables dans des images médicales 2D et 3D. H.D.R., INSA Lyon, 2003. Jury: Coquerez J.P. (rap.), Jolion J.M. (rap.), Magnin I.E., Preteux F. (rap.) et Revel D.


Articles in journal
  1. [FLOR-10a] L. Flórez Valencia, J. Azencot, and M. Orkisz. Carotid arteries segmentation in CT images with use of a right generalized cylinder model. Revista Colombiana de Computación, 2:in-press, 2010.


  2. [ZULU-10a] M. A. Zuluaga, I. E. Magnin, M. Hernández Hoyos, E. J. F. Delgado Leyton, F. Lozano, and M. Orkisz. Automatic detection of abnormal vascular cross-sections based on Density Level Detection and Support Vector Machines. Int J Computer Assist Radiol Surg, pp in-press, 2010.


  3. [ZULU-10d] M. A. Zuluaga, M. Orkisz, E. J. F. Delgado Leyton, V. Doré, A. Morales Pinzón, and M. Hernández Hoyos. Adaptación del algoritmo MARACAS para la segmentación de la bifurcación de la arteria carótida y cuantificación de estenosis en imágenes TAC. Actas Biol Colombianas, pp in-press, 2010.


  4. [ORLO-09] P. Orlowski and M. Orkisz. Efficient computation of Hessian-based enhancement filters for tubular structures in 3D images. Innov Tech Biol Med - RBM, 30:128-132, 2009.


  5. [SCHA-09] M. Schaap, C.T. Metz, T. van Walsum, A.G. van der Giessen, A.C. Weustink, N.R. Mollet, C. Bauer, H. Bogunovic, C. Castro, X. Deng, E. Dikici, T. O'Donnell, M. Frenay, O. Friman, M. Hernández Hoyos, P.H. Kitslaar, K. Krissian, C. Kühnel, M.A. Luengo-Oroz, M. Orkisz, Ö. Smedby, M. Styner, A. Szymczak, H. Tek, C. Wang, S.K. Warfield, Y. Zhang, S. Zambal, G.P. Krestin, and W.J. Niessen. Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Med Image Anal, 13(5):701-714, 2009.


  6. [ZULU-09e] M.A. Zuluaga, M. Orkisz, and M. Hernández Hoyos. Mejoramiento de la segmentación arterial coronaria a traves del modelamiento del volumen parcial en imágenes TAC. Revista Colombiana de Radiologìa, 20(3):2702-2707, 2009.


  7. [ORKI-08] M. Orkisz, L. Flórez Valencia, and M. Hernández Hoyos. Models, algorithms and applications in vascular image segmentation. Mach Graph Vision, 17(1/2):5-33, 2008.


  8. [CANT-07c] D. Cantor Rivera, M. Orkisz, J.A. Arias, L.F. Uriza, and M. Hernández Hoyos. Modelamiento en 3D de patologìas vasculares a partir de imágenes de resonancia magnética sustraìdas. Revista Colombiana de Radiologìa, 18(4):2225-2232, 2007.


  9. [CARR-07] J.F. Carrillo, M. Hernández Hoyos, E.E. Davila-Serrano, and M. Orkisz. Recursive tracking of vascular tree axes in 3D medical images. Int J Comput Assisted Radiol Surg, 1(6):331-339, 2007.


  10. [FLOR-07b] L. Flórez Valencia, J. Montagnat, and M. Orkisz. 3D models for vascular lumen segmentation in MRA images and for artery-stenting simulation. Innov Tech Biol Med - RBM, 28(2):65-71, 2007.


  11. [CARR-06d] J.F. Carrillo, M. Hernández Hoyos, E.E. Davila-Serrano, and M. Orkisz. Segmentación y visualización arterial en ARM y TC. Revista Colombiana de Radiologìa, 17(4):2028-2036, 2006.


  12. [HERN-06a] M. Hernández Hoyos, P. Orlowski, E. Piatkowska-Janko, P. Bogorodzki, and M. Orkisz. Vascular centreline extraction in 3D MR angiograms applied to select acquisition plane for blood flow measurement by phase contrast MRI. Int J Comput Assisted Radiol Surg, 1(1):51-61, 2006.


  13. [HERN-06b] M. Hernández Hoyos, J.M. Serfaty, A. Maghiar, C. Mansard, M. Orkisz, I.E. Magnin, and P. Douek. Evaluation of semi-automatic arterial stenosis quantification. Int J Comput Assisted Radiol Surg, 1(3):167-175, 2006.


  14. [HADD-05c] R. Haddad, P. Clarysse, M. Orkisz, D. Revel, and I. E. Magnin. A realistic anthropomorphic numerical model of the beating heart. Innov Tech Biol Med - RBM, 26(4):270-272, 2005.


  15. [HERN-05] M. Hernández Hoyos, M. Orkisz, P. Douek, and I.E. Magnin. Assessment of carotid artery stenoses in 3D contrast-enhanced magnetic resonance angiography, based on improved generation of the centerline. Mach Graph Vision, 14(4):349-378, 2005.


  16. [FLOR-04b] L. Flórez Valencia, J. Montagnat, and M. Orkisz. 3D graphical models for vascular-stent pose simulation. Mach Graph Vision, 13(3):235-248, 2004.


  17. [MANS-04] C. Mansard, E. Canet-Soulas, A. Anwander, L. Chaabane, B. Neyran, J.M. Serfaty, I.E. Magnin, P. Douek, and M. Orkisz. Quantification of multi-contrast vascular MR Images with the NLSnake, an active contour model : in vitro validation and in vivo evaluation. Magn Reson Med, 51(2):370-379, 2004.


  18. [AZEN-03] J. Azencot and M. Orkisz. Deterministic and Stochastic State Model of Right Generalized Cylinder (RGC-sm): Application in Computer Phantoms Synthesis. Graphical Models, 65:323-350, 2003.


  19. [HERN-02a] M. Hernández Hoyos, M. Orkisz, P. Puech, C. Mansard, P. Douek, and I.E. Magnin. Computer assisted analysis of 3D MRA images. Radiographics, 22:421-436, 2002.


  20. [MARC-02] B. Marchand, P. Douek, P. Robert, C. Corot, J.P. Roux, P. Adeleine, M. Hernández Hoyos, Y. Crémillieux, M. Orkisz, and E. Canet-Soulas. Standardized MR protocol for the evaluation of MRA sequences and/or contrast agents effects in high-degree arterial stenosis analysis. Magma, 14(3):259-267, 2002.


  21. [ORKI-02a] M. Orkisz, A. Frery, B. Durning, O. Chapet, F. Mornex, and I.E. Magnin. Feasibility of motion estimation and tracking in portal images during treatment of pulmonary cancers by conformal radiotherapy. Image Process Comm, 7(3-4):63-76, 2002.


  22. [MARC-01a] B. Marchand, M. Hernández Hoyos, M. Orkisz, and P. Douek. Diagnostic des sténoses de l'artère rénale en Angiographie par Résonance Magnétique et appréciation du degré de sténose. J Mal Vasc, 25(5):312-320, 2001.


  23. [ORKI-01a] M. Orkisz and M. Hernández Hoyos. Models for 3D vascular image analysis. J Med Inform Technol, 2(1):13, 2001.


  24. [ORKI-00a] M. Orkisz, M. Hernández Hoyos, P. Douek, and I.E. Magnin. Advances of blood vessel morphology analysis in 3D magnetic resonance images. Mach Graph Vision, 9(1/2):463-471, 2000.


  25. [ORKI-99a] M. Orkisz, M. Bourlion, G. Gimenez, and T.A. Flam. Real-time target tracking applied to improve fragmentation of renal stones in extra-corporeal lithotripsy. Mach Vision Appl, 11:138-144, 1999.


  26. [ORKI-98b] M. Orkisz, T. Farchtchian, M. Bourlion, G. Gimenez, H. Redarce, T. A. Flam, D. Saighi, and B. Debré. Application du traitement d'images au suivi en temps réel de calculs urinaires en lithotritie extra-corporelle. Innov Tech Biol Med, 19 Spe(4):315-323, 1998.


  27. [ORKI-98c] M. Orkisz, T. Farchtchian, D. Saighi, M. Bourlion, N. Thiounn, G. Gimenez, B. Debré, and T. A. Flam. Image-based renal stone tracking to improve efficacy in extra-corporeal lithotripsy. J Urol, 160:1237-1240, 1998.


  28. [ORKI-97a] M. Orkisz, C. Bresson, I.E. Magnin, O. Champin, and P. Douek. Improved vessel visualization in MR angiography by non-linear anisotropic filtering. Magn Reson Med, 37:914-919, 1997.


  29. [ORKI-96c] M. Orkisz and P. Clarysse. Estimation du flot optique en présence de discontinuités : une revue. Traitement du Signal, 13(5):489-513, 1996.


  30. [ORKI-92] M. Orkisz. Localisation d'objets mobiles dans des scènes naturelles filmées par une caméra fixe. Traitement du Signal, 9(4):325-346, 1992.


Communications Proceedings
  1. [FLOR-10b] L. Flórez Valencia, J. Azencot, and M. Orkisz. Algorithm for blood-vessel segmentation in 3D images based on a right generalized cylinder model: application to carotid arteries. In L Bolc, J. L. Kulikowski, L. J. Chmielewski, and K. Wojciechowski, editors, Int Conf Comput Vision Graphics, volume LNCS 6374, Warsaw, Poland, pages 27-34, September 2010. Springer, Heidelberg.


  2. [FLOR-10c] L. Flórez Valencia, J. Azencot, and M. Orkisz. 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, pages 6 in electronic proc., April 2010.


  3. [ZULU-10c] M. A. Zuluaga, E. J. F. Delgado Leyton, M. Hernández Hoyos, and M. Orkisz. Can the coronary artery centerline extraction in computed tomography images be improved by use of a partial volume model?. In L Bolc, J. L. Kulikowski, L. J. Chmielewski, and K. Wojciechowski, editors, Int Conf Comput Vision Graphics, volume LNCS 6375, Warsaw, Poland, pages 385-392, September 2010. Springer, Heidelberg.


  4. [ZULU-10e] M. A. Zuluaga, E. J. F. Delgado Leyton, M. Hernández Hoyos, and M. Orkisz. Feature selection for SVM-based vascular anomaly detection. In MICCAI Workshop on Medical Computer Vision, volume LNCS, Beijing, China, pages in-press, September 2010.


  5. [ZULU-10b] M.A. Zuluaga, M. Orkisz, M. Hernández Hoyos, F. Lozano Martìnez, and I.E. Magnin. Towards vascular abnormality detection: an SVM approach. In 24rth CARS - Comput Assisted Radiol Surg, volume 5-suppl.1 of Int J Comp Assist Radiol Surg, Geneva, Switzerland, pages S355-6 (abstract), June 2010. Springer.


  6. [BENM-09] F. Benmansour, L.D. Cohen, E.E. Dávila-Serrano, P. Douek, M. Orkisz, and M.A. Zuluaga. 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, pages 10 in CD, May 2009.


  7. [FLOR-09] L. Flórez Valencia, J. Azencot, and M. Orkisz. Carotid arteries segmentation in CT images with use of a right generalized cylinder model. In Midas Journal: MICCAI Workshop - 3D Segmentation in the Clinic: A Grand Challenge III, London, GB, pages 8 on-line: http://hdl.handle.net/10380/3106, September 2009.


  8. [ZULU-09d] M.A. Zuluaga, M. Hernández Hoyos, and M. Orkisz. Evaluación del efecto de volumen parcial en imágenes TAC para el mejoramiento de la segmentación arterial coronaria. In Quinto Seminario de Ingenierìa Biomédica y Quinto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, Bogota, Colombia, pages 4 in electronic proc., November 2009.


  9. [ZULU-09a] M.A. Zuluaga, M. Hernández Hoyos, and M. Orkisz. Evaluation of partial volume effects in computer tomography for the improvement of coronary artery segmentation. In 23rd CARS - Comput Assisted Radiol Surg, volume 4-suppl.1 of Int J Comp Assist Radiol Surg, Berlin, Germany, pages S40-1 (abstract), June 2009. Springer.


  10. [ZULU-09c] M.A. Zuluaga, M. Orkisz, E.J.F. Delgado Leyton, V. Doré, A. Morales Pinzón, and M. Hernández Hoyos. 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 Ingenierìa Biomédica y Quinto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, Bogota, Colombia, pages 5 in electronic proc., November 2009.


  11. [ZULU-09b] M.A. Zuluaga, M. Orkisz, E.J.F. Delgado Leyton, V. Doré, A. Morales Pinzón, and M. Hernández Hoyos. Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA images. In Midas Journal: MICCAI Workshop - 3D Segmentation in the Clinic: A Grand Challenge III, London, GB, pages 7 on-line: http://hdl.handle.net/10380/3102, September 2009.


  12. [ARDI-08] N. Ardila, M. Hernández Hoyos, S. Teillaud, M. Orkisz, E.E. Davila-Serrano, O. Beuf, J. Adrien, F. Martinez, C. Rey, and J.A. Sanchez. Estudio no destructivo de los canales internos de octocorales por medio del análisis de imágenes biolgicas y medicas. In XII Seminario Nacional de Ciencia y Tecnologìa del Mar, volume 1, Santa Marta, Colombia, pages 155, 2008.


  13. [HERN-08] M. Hernández Hoyos, M.A. Zuluaga, M. Lozano, J.C. Prieto, P. Douek, I.E. Magnin, and M. Orkisz. Coronary centerline tracking in CT images with use of an elastic model and image moments. In Midas Journal: IJ - MICCAI Workshop - Grand Challenge Coronary Artery Tracking, New York City, USA, pages 8 on-line: http://hdl.handle.net/10380/1401, September 2008.


  14. [BALT-07] M. Baltaxe Milwer, L. Flórez Valencia, M. Hernández Hoyos, I.E. Magnin, and M. Orkisz. Fast marching contours for the segmentation of vessel lumen in CTA cross-sections. In Conf Proc IEEE Eng Med Biol Soc, Lyon, France, pages 791-794, 2007. IEEE.


  15. [CANT-07a] D. Cantor Rivera, M. Orkisz, and M. Hernández Hoyos. Generación de modelos arteriales tridimensionales a partir de imágenes de resonancia magnética (IRM). In XXXIII Conferencia Latinoamericana de Informática (CLEI), San José, Costa Rica, 2007. UNED, PEM, Oficina de Audiovisuales, ISBN: 978-9968-9678-9-1.


  16. [CANT-07b] D. Cantor Rivera, M. Orkisz, L.F. Uriza, and M. Hernández Hoyos. Generación de modelos arteriales tridimensionales a partir de imágenes de resonancia magnética (IRM). In XXXII Congreso Colombiano de Radiologìa, Cartagena de Indias, Colombia, 2007.


  17. [CANT-07d] D. Cantor Rivera, M. Orkisz, L .F. Uriza Carrasco, and M. Hernández Hoyos. Generación de modelos vasculares especìficos al paciente a partir de IRM 3D usando el algoritmo de fast-marching. In Cuarto Seminario de Ingenierìa Biomédica y Quinto Seminario Internacional de Procesamiento de y Análisis de Imágenes Médicas, Bogota, Colombia, pages 2 in electronic proc., November 2007.


  18. [FLOR-07a] L. Flórez Valencia, M. Baltaxe Milwer, M. Hernández Hoyos, F. Vincent, P. Douek, I.E. Magnin, and M. Orkisz. Fast marching level-sets for the extraction of vascular cross-sectional contours in CT angiography images. In 21st CARS - Comput Assist Radiol Surg, volume 2-suppl.1 of Int J Comp Assist Radiol Surg, Berlin, Germany, pages S449-S450 (abstract), 2007. Springer.


  19. [CARR-06b] J.F. Carrillo, E.E. Davila-Serrano, M. Hernández Hoyos, and M. Orkisz. Vascular tree extraction from 3D images. In 20th CARS - Computer Assisted Radiology and Surgery, Osaka, Japan, pages 462 (abstract), June 2006. Springer.


  20. [CARR-06c] J.F. Carrillo, M. Hernández Hoyos, E.E. Davila-Serrano, and M. Orkisz. Segmentación y visualización arterial en ARM y TAC. In XXXI Congreso Colombiano de Radiologìa, Cartagena, Colombia, pages 21-22 (abstract), October 2006. Asociación Colombiana de Radiologìa, ISSN: 1909-5112.


  21. [CARR-06a] J.F. Carrillo, M. Hernández Hoyos, and M. Orkisz. Automatic vascular tree segmentation. In XXXII Conferencia Latinoamericana de Informática CLEI, Santiago de Chile, Chile, pages 174 (abstract; 8 p. full paper on CD), August 2006. Universidad de Santiago, ISBN: 956-303-028-1.


  22. [FLOR-06a] L. Flórez Valencia, J. Azencot, F. Vincent, M. Orkisz, and I.E. Magnin. Segmentation and quantification of blood vessels in 3d images using a right generalized cylinder state model. In Int. Conf. Image Processing, Atlanta, GA, USA, pages 2441-2444, October 2006.


  23. [CARR-05] J.F. Carrillo, M. Orkisz, and M. Hernández Hoyos. Extraction of 3D vascular tree skeletons based on the analysis of connected components evolution. In 11th Int. IAPR Conf. Computer Analysis of Images and Patterns (CAIP 2005), volume 3691 of Lect Notes Comput Sc, Versailles, France, pages 604-611, 2005. Springer Verlag, Publ..


  24. [HADD-05d] R. Haddad, P. Clarysse, M. Orkisz, D. Revel, and I.E. Magnin. A Realistic Anthropomorphic Dynamic Heart Phantom. In Computers in Cardiology, Lyon, France, pages 801-804, 2005.


  25. [HADD-05b] R. Haddad, P. Clarysse, M. Orkisz, D. Revel, and I.E. Magnin. A realistic anthropomorphic numerical model of the beating heart. In Functional Imaging and Modeling of the Heart, Barcelona, Spain, pages 384-393, 2005.


  26. [HADD-05a] R. Haddad, P. Clarysse, M. Orkisz, D. Revel, and I.E. Magnin. Un modèle numérique anthropomorphique du coeur battant. In Forum de Recherche en Génie Biologique et Médical (JSTIM-FRGBM'05), volume 26, Nancy, France, pages 77-78, 2005.


  27. [HERN-05a] M. Hernández Hoyos, P. Orlowski, E. Piatkowska-Janko, P. Bogorodzki, and M. Orkisz. Optimisation of acquisition plane selection for blood flow measurement by phase contrast MRI, based on vascular centreline extraction in 3D MR angiograms. In Forum de Recherche en Génie Biologique et Médical, Nancy, France, pages 86-87, 2005.


  28. [HERN-05b] M. Hernández Hoyos, P. Orlowski, E. Piatkowska-Janko, P. Bogorodzki, and M. Orkisz. Vascular centreline extraction in 3D MR angiograms to optimise acquisition plane for blood flow measurement by phase contrast MRI. In Computer Assisted Radiology and Surgery, Berlin, Germany, pages 345-350, 2005.


  29. [BARG-04] P. Bargiel, M. Orkisz, A. Przelaskowski, E. Piatkowska-Janko, P. Bogorodzki, and T. Wolak. Optimal plane search method in blood flow measurements by magnetic resonance imaging. In Optical Methods, Sensors, Image Processing, and Visualization in Medicine, volume SPIE 5505, Gdansk, Poland, pages 135-138, 2004.


  30. [FLOR-04a] L. Flórez Valencia, F. Vincent, and M. Orkisz. Fast 3D pre-segmentation of arteries in computed tomography angiograms. In Int. Conf. Comput. Vision / Graphics, Computational Imaging and Vision, Varsovie, Poland, pages 361-366, 2004. Springer Verlag, Publ..


  31. [FLOR-02] L. Flórez Valencia, J. Montagnat, and M. Orkisz. 3D graphical models for vascular-stent pose simulation. In International Conference on Computer Vision and Graphics, Zakopane, Poland, pages 259-266, 2002.


  32. [HERN-02c] M. Hernández Hoyos, M. Orkisz, I.E. Magnin, and P. Douek. Automated generation of vessel centerlines and volumetric assessment of stenoses from MRA images. In XIII Int. Workshop on MRA, volume Abstr, Essen, Germany, pages 140, 2002.


  33. [HERN-02b] M. Hernández Hoyos, M. Orkisz, I.E. Magnin, and P. Douek. Quantification de la sténose artérielle dans des images ARM 3D fondée sur l'extraction automatique de l'axe central du vaisseau. In Journées Françaises de Radiologie, volume Abstr, Paris, France, pages 1423, 2002.


  34. [ORKI-02c] M. Orkisz and M. Hernández Hoyos. Suivi de vaisseaux sanguins dans des images 3D à l'aide d'un modèle de base de moments. In Mathématiques et Imagerie, Journée 'Application à la modélisation et l'imagerie en Cardio-Vasculaire', Lyon, France, 2002.


  35. [HERN-01] M. Hernández Hoyos, M. Orkisz, C. Mansard, A. Anwander, B. Neyran, J.P. Roux, E. Boix, I.E. Magnin, and P. Douek. MARACAS (MAgnetic Resonance Angiography Computer ASsisted Analysis) : an interactive software for visualisation and analysis of blood vessels in 3D MRA providing automatic quantification of arterial stenosis. In XII Int. Workshop on MRA, volume 12 of Magma, Lyon, France, pages 47, 2001.


  36. [MANS-01d] C. Mansard, A. Anwander, L. Chaabane, M. Orkisz, B. Neyran, P. Douek, and I.E. Magnin. Dynamic active contour model for size independent blood vessel lumen segmentation and quantification in high-resolution magnetic resonance image. In W. Skarbek, editor, 9th Int IAPR conf Computer Analysis of Image and Patterns (CAIP'2001), volume 2124, Warsaw, Poland, pages 264-273, 2001.


  37. [MANS-01a] C. Mansard, A. Anwander, L. Chaabane, M. Orkisz, B. Neyran, P. Douek, and I.E. Magnin. Size independent active contour model for blood vessel lumen quantification applied to MRA and to high resolution magnetic resonance image. In MICCAI'01, Utrecht, The Nederlands, October 14-17 2001.


  38. [MANS-01b] C. Mansard, M. Hernández Hoyos, M. Orkisz, P. Puech, L. Chaabane, J.M. Serfaty, I.E. Magnin, and P. Douek. Automatic image segmentation and stenosis quantification applied to MRA and to High Resolution MR Images. In 2nd Int Workshop on Coronary MR and CT angiography, Chicago, USA, October 1-2 2001.


  39. [MANS-01c] C. Mansard, M. Hernández Hoyos, M. Orkisz, P. Puech, L. Chaabane, J.M. Serfaty, I.E. Magnin, and P. Douek. Automatic image segmentation and stenosis quantification applied to MRA and to high resolution MR image. In Proc of XIII int Workshop on MRA, Madison, WI, USA, 2001.


  40. [MARC-01b] B. Marchand, P. Douek, P. Robert, C. Corot, J.P. Roux, P. Adeleine, M. Hernández Hoyos, Y. Crémillieux, M. Orkisz, and E. Canet. Value of MRA sequences and contrast agents for the evaluation of high-degree stenosis : a phantom study. In International Society of Magnetic Resonance in Medicine Scientific Meeting, Glasgow, UK, 2001.


  41. [ORKI-01d] M. Orkisz, A. Frery, O. Chapet, F. Mornex, and I.E. Magnin. Attempts to bronchial tumor motion tracking in portal images during conformal radiotherapy treatment. In W. Skarbek, editor, 9th IAPR Conf Computer Analysis of Image Patterns (CAIP'2001), volume 2124, Warsaw, Poland, pages 247-255, 2001. Lecture Notes in Comp. Science, Publ..


  42. [ORKI-01c] M. Orkisz and M. Hernández Hoyos. Models for 3D Vascular Image Analysis. In Computer Graphics, Image Processing and Recognition, Warsaw, Poland, 2001.


  43. [HERN-00c] M. Hernández Hoyos, A. Anwander, M. Orkisz, J.P. Roux, P. Douek, and I.E. Magnin. A deformable vessel model with single point initialization for segmentation, quantification and visualization of blood vessels in 3D MRA. In MICCAI, volume 13, Pittsburgh, UK, pages 735-745, 2000.


  44. [HERN-00a] M. Hernández Hoyos, M. Orkisz, J.P. Roux, I.E. Magnin, and P. Douek. MAgnetic Resonance Angiography Computer ASisted analysis : an interactive software for visualization and analysis of blood vessels 3D MRA automatic quantification of the arterial stenosis. In RSNA 86th Annual Meeting, Chicago, Illinois, USA, pages 700-24, 2000.


  45. [HERN-00b] M. Hernández Hoyos, M. Orkisz, J.P. Roux, I.E. Magnin, and P. Douek. MAgnetic Resonance Angiography Computer ASisted analysis: logiciel de visualisation et de traitement d'image ARM 3D. In Journées Françaises de Radiologie, volume 81 of J Radio, Paris, France, pages 1524, 2000.


  46. [HERN-99] M. Hernández Hoyos, M. Orkisz, J.P. Roux, and P. Douek. Inertia-based vessel axis extraction and stenosis quantification in 3D MRA images. In Computer Assisted Radiology and Surgery (CARS'99), Paris, France, pages 189-193, 1999.


  47. [FLAM-98a] T. Flam, M. Orkisz, T. Farchtchian, M. Bourlion, D. Saighi, G. Gimenez, and B. Debré. Image-based renal stone tracking to Improve efficacy of extracorporeal shock wave lithotripsy. In American Urological Association 93rd Annual Meeting, volume 5 of J Urol, San Diego, USA, pages 127, 30 mai - 4 juin 1998.


  48. [FLAM-98b] T. Flam, M. Orkisz, T. Farchtchian, M. Bourlion, D. Saighi, G. Gimenez, and B. Debré. Image-based renal stone tracking to improve efficacy of extracorporeal shock wave lithotripsy. In European Urology, 33 : S1, XIIIth Congress of the European Association of Urology, Barcelona, Spain, pages 113, 22-25 mars 1998.


  49. [ORKI-98a] M. Orkisz, T. Farchtchian, M. Bourlion, G. Gimenez, H. Redarce, T. Flam, D. Saighi, and B. Debré. Application du traitement d'images au suivi temps réel de calculs urinaires en lithotritie extra-corporelle. In Forum Jeunes Chercheurs GBM, Brest, France, 1998.


  50. [FLAM-97] T. Flam, D. Saighi, M. Bourlion, M. Orkisz, T. Farchtchian, P.F. Gerbaud, M. Charif Chefchaouni, N. Thouin, and B. Debré. Suivi automatique des calculs par reconnaissance d'image en temps réel, en cours de lithotritie extra-corporelle : principes et avantages du sytème Echotrack. In Congrès Français d'Urologie, Paris, France, pages 6A, 1997.


  51. [ORKI-97b] M. Orkisz, S. Mosnier, J.P. Roux, G. Gonnot, R. Brion, and I.E. Magnin. Automated heart-wall instantaneous velocity estimation from M-mode echography images. In World Congress on Medical Physics and Biomedical Engineering, volume 35 of Med Biol Eng Comp, Nice, France, pages 682, 1997.


  52. [BRES-96] C. Bresson, M. Orkisz, O. Champin, P. Douek, and I.E. Magnin. Traitement d'images angiographiques IRM. In Carrefour de la Fondation Rhône-Alpes Futur, (résumé 2 pages), Lyon, France, 1996.


  53. [CHAM-96a] O. Champin, P. Douek, M. Orkisz, C. Bresson, and I.E. Magnin. Intérêt d'un filtre non linéaire anisotropique dans l'amélioration des images angiographiques par résonance magnétique (ARM). In Journées Françaises de Radiologie, Paris, France, pages 776-777, 1996.


  54. [CHAM-96b] O. Champin, M. Orkisz, I.E. Magnin, and P. Douek. Vessel visibility improvement in MR angiography by using anisotropic non-linear filtering. In Radiol Soc North Am Meeting, (résumé), Chicago, USA, pages 530, 1996.


  55. [KOCH-96] E. Kochian, M. Orkisz, G. Gimenez, and M. Bourlion. Application d'un algorithme de mise en correspondance au suivi temps réel de lithiases. In AGI, Tours, France, pages 329-332, 1996.


  56. [ORKI-96a] M. Orkisz, P. Douek, C. Bresson, and I.E. Magnin. Vessel Visibility Improvement in MR Angiography by Anisotropic Non-Linear Filtering. In International Society of Magnetic Resonance in Medicine Scientific Meeting, New York, USA, pages 1649, 1996.


  57. [ORKI-96b] M. Orkisz, P. Douek, I.E. Magnin, and O. Champin. Anisotropic Non-Linear Filtering for Image Improvement in MR Angiography. In 10th Int Conf on Computer Assisted Radiology CAR'96, Paris, France, pages 260-265, 1996.


  58. [LIU-95b] W.Y. Liu, M. Orkisz, I.E. Magnin, and R. Brion. Spatial Discontinuity Detection and Temporal Smoothing for Heart-Wall Motion Estimation from TM-mode Echocardiographic Images. In Computers in Cardiology, Vienna, Austria, pages 561-564, 1995.


  59. [ORKI-95a] M. Orkisz. Prise en compte des discontinuités dans l'estimation du mouvement : une revue. In Journée d'études : le mouvement dans les images et les signaux, SEE Club 29 et CNRS GDR 134, Paris, France, 1995.


  60. [BASS-94a] A. Basset, M. Orkisz, I.E. Magnin, and R. Brion. Dense motion field estimation involving discontinuities applied to echocardiographic image sequences. In IEEE International Ultrasonics Symposium, Cannes, France, pages 1573-1576, 1994.


  61. [ORKI-93] M. Orkisz and D. Pellerin. Estimation du mouvement par approche mixte : droites de contrainte/mise en correspondance. In 14e Colloque sur le Traitement du Signal et des Images GRETSI, Juan-les-Pins, France, pages 855-858, 1993.


Invited Conferences
  1. [ORKI-09a] M. Orkisz. Medical imaging in CREATIS-LRMN. In Inauguration de COLIVRI, Universidad de los Andes, Bogota, Colombia, 2009.


  2. [ORKI-02b] M. Orkisz and M. Hernández Hoyos. From inertia matrix to the analysis of vascular pathologies. In Int Conf Computer Vision and Graphics, Zakopane, Poland, pages 6-15, 2002.


  3. [ORKI-01f] M. Orkisz and M. Hernández Hoyos. Models for 3D Vascular Image Analysis. In Computer Graphics, Image Processing and Recognition, Warsaw, Poland, 2001.


  4. [ORKI-01b] M. Orkisz and M. Hernández Hoyos. Models for 3D vascular image analysis. In Med. Informatics and Technologies, volume 2 of J Med Inform Technol, Jaszowiec, Poland, pages IP13-IP22, 2001.


  5. [ORKI-00b] M. Orkisz, M. Hernández Hoyos, I.E. Magnin, and P. Douek. Advances in image processing techniques applied to 3D MRA images enhancement, segmentation and quantification - A survey and contributions. In XII Int. Workshop on MRA, volume 12 of Magma, Lyon, France, pages 44, 2000.


  6. [ORKI-99b] M. Orkisz, M. Hernández Hoyos, and P. Douek. Automatic vessel axis extraction and equivalent diameter estimation from 3D MRA data. In XI Int. Workshop on MRA, volume 41 of Act Radiol Suppl, Lund, Sweden, pages 63, 1999.


  7. [ORKI-98d] M. Orkisz and M. Hernández Hoyos. Développements récents dans le traitement d'images : principes des techniques de segmentation d'images vasculaires 3D. In 2-èmes Journées du Groupe de Recherche et de Réflexion en Angiographie par Résonance Magnétique, Paris, France, pages 94-103, 1998.


Miscellaneous
  1. [MOSN-96] S. Mosnier, M. Orkisz, I.E. Magnin, and R. Brion. Echocardiographic image sequence data base. CD Rom, 2002.


  2. [ORKI-02e] M. Orkisz and M. Hernández Hoyos. Suivi de vaisseaux sanguins dans des images 3D à l'aide d'un modèle de base de moments. Mathématiques et Imagerie, Journée 'Application à la modélisation et l'imagerie en Cardio-Vasculaire', Lyon (France), 2002.


  3. [BRES-96b] C. Bresson, M. Orkisz, O. Champin, P. Douek, and I.E. Magnin. Traitement d'images angiographiques IRM. Carrefour de la Fondation Rhône-Alpes Futur, Lyon, France, 1996.


  4. [LIU-95c] W.Y. Liu, M. Orkisz, and I.E. Magnin. Motion Estimation from M-mode Echocardiographic Images. dans le Rapport Ultrasonic Scanner : Quantitative Dynamic Imaging, BIOMED 1, 1995.


  5. [ORKI-95c] M. Orkisz. Prise en compte des discontinuités dans l'estimation du mouvement : une revue. Journée d'études : le mouvement dans les images et les signaux, SEE Club 29 et CNRS GDR 134, Paris, France, 1995.


  6. [ORKI-95d] M. Orkisz, A. Basset-Merle, and I.E. Magnin. Motion Estimation from B-mode Echocardiographic Images. dans le Rapport Ultrasonic Scanner : Quantitative Dynamic Imaging, BIOMED 1, 1995.


  7. [ORKI-95b] M. Orkisz, R. Brion, and G. Gonnot. Echocardiographic Image Sequence Data Base : Left Ventricle in Short Axis View. dans le Rapport Ultrasonic Scanner : Quantitative Dynamic Imaging, BIOMED 1, 1995.



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