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Journal Article

  1. [RIZI-20]“Carotid Wall Longitudinal Motion in Ultrasound Imaging: An Expert Consensus Review”, Ultrasound in Medicine & Biology, 2020.
  2. [BITK-19]“Non-invasive quantification of macrophagic lung recruitment during experimental ventilation-induced lung injury”, Journal of Applied Physiology, vol. 127, pp. 546-558, 2019.
    https://www.physiology.org/doi/abs/10.1152/japplphysiol.00825.2018
  3. [ORKI-19]“Voxel-wise assessment of lung aeration changes on CT images using image registration: application to acute respiratory distress syndrome (ARDS)”, International Journal of Computer Assisted Radiology and Surgery, vol. 14, pp. 1945-1953, 2019.
    https://doi.org/10.1007/s11548-019-02064-3
  4. [QORC-17d]“Kalman-Based Carotid-Artery Longitudinal-Kinetics Estimation and Pattern Recognition”, IRBM, vol. 38, pp. 219-223, 2017.
    https://www.sciencedirect.com/science/article/abs/pii/S1959031817300623?via%3Dihub
  5. [MORA-17b]“Lung Segmentation by Cascade Registration”, IRBM, vol. 38, pp. 266-280, 2017.
    https://www.sciencedirect.com/science/article/abs/pii/S1959031817300726?via%3Dihub
  6. [MORA-17a]“A tree-matching algorithm: Application to airways in CT images of subjects with the acute respiratory distress syndrome”, Medical Image Analysis, vol. 35, pp. 101 - 115, 2017.
    http://www.sciencedirect.com/science/article/pii/S1361841516300986
  7. [ZAHN-17a]“A fully-automatic method to segment the carotid artery layers in ultrasound imaging - Application to quantify the compression-decompression pattern of the intima-media complex during the cardiac cycle”, Ultrasound in Medicine and Biology, vol. 43, pp. 239-257, 2017.
    http://www.sciencedirect.com/science/article/pii/S0301562916302526
  8. [COUR-16]E. - J. Courtial, Fanton, L., Orkisz, M., Douek, P., Huet, L., and Fulchiron, R., “Hyper-viscoelastic behavior of healthy abdominal aorta”, IRBM, vol. 37, pp. 158-164, 2016.
    http://dx.doi.org/10.1016/j.irbm.2016.03.007
  9. [ZAHN-15a]G. Zahnd, Balocco, S., Sérusclat, A., Moulin, P., Orkisz, M., and Vray, D., “Progressive attenuation of the longitudinal kinetics in the common carotid artery: preliminary in vivo assessment”, Ultrasound in Medicine & Biology, vol. 41, pp. 339-345, 2015.
    https://www.umbjournal.org/article/S0301-5629(14)00514-6/fulltext
  10. [COUR-15a]E. - J. Courtial, Orkisz, M., Douek, P., Huet, L., and Fulchiron, R., “Identifying hyper-viscoelastic model parameters from an inflation-extension test and ultrasound images”, Experimental Mechanics, vol. 55, pp. 1353-1366, 2015.
    https://link.springer.com/article/10.1007%2Fs11340-015-0042-0
  11. [RICH-14]J. C. Richard, Pouzot, C., Morales Pinzón, A., Torres González, J. S., Orkisz, M., Neyran, B., Hernández Hoyos, M., Lavenne, F., and Guérin, C., “Reliability of the nitrogen washout-washin technique to assess end-expiratory lung volume at variable PEEP and tidal volumes”, Intensive Care Medicine Experimental, vol. 2, 2014.
    https://icm-experimental.springeropen.com/articles/10.1186/2197-425X-2-10
  12. [MORA-14]A. Morales Pinzón, Orkisz, M., Rodríguez Useche, C. M., Torres González, J. S., Teillaud, S., Sánchez, J. A., and Hernández Hoyos, M., “A semi-automatic method to extract canal pathways in 3D micro-CT images of octocorals”, PLoS ONE, 2014.
    http://dx.plos.org/10.1371/journal.pone.0085557
  13. [ZAHN-14]G. Zahnd, Orkisz, M., Sérusclat, A., Moulin, P., and Vray, D., “Simultaneous extraction of carotid artery intima-media interfaces in ultrasound images - Assessment of wall thickness temporal variation during the cardiac cycle”, Int J Comput Assist Radiol Surg, vol. 9, pp. 645-658, 2014.
    https://link.springer.com/article/10.1007%2Fs11548-013-0945-0
  14. [ZULU-14]M. A. Zuluaga, Orkisz, M., Dong, P., Pacureanu, A., Gouttenoire, P. J., and Peyrin, F., “Bone canalicular network segmentation in 3D nano-CT images through geodesic voting and image tessellation”, Physics in Medicine and Biology, vol. 59, pp. 2155–2171, 2014.
    https://iopscience.iop.org/article/10.1088/0031-9155/59/9/2155
  15. [ORKI-14]M. Orkisz, Hernández Hoyos, M., Pérez Romanello, V., Pérez Romanello, C., Prieto, J. C., and Revol-Muller, C., “Segmentation of the pulmonary vascular trees in 3D CT images using variational region-growing”, IRBM, vol. 35, pp. 11-19, 2014.
    https://www.sciencedirect.com/science/article/abs/pii/S1959031813001371?via%3Dihub
  16. [ZULU-14a]M. A. Zuluaga, Hernández Hoyos, M., and Orkisz, M., “Feature selection based on empirical-risk function to detect lesions in vascular Computed Tomography images”, IRBM, vol. 35, pp. 244-254, 2014.
    http://www.sciencedirect.com/science/article/pii/S1959031814000827
  17. [RUDY-14]R. D. Rudyanto, Kerkstra, S., Rikxoort, E. M., Fetita, C., Brillet, P., Lefevre, C., Xue, W., Zhu, X., Liang, J., Öksüz, I., Ünay, D., Kadipasaoglu, K., San José Estépar, R., Ross, J. C., Washko, G. R., Prieto, J. C., Hernández Hoyos, M., Orkisz, M., Meine, H., Hüllebrand, M., Stöcker, C., Lopez Mir, F., Naranjo, V., Villanueva, E., Staring, M., Xiao, C., Stoel, B. C., Fabijanska, A., Smistad, E., Elster, A. C., Lindseth, F., Foruzan, A. H., Kiros, R., Popuri, K., Cobzas, D., Jimenez-Carretero, D., Santos, A., Ledesma-Carbayo, M. J., Helmberger, M., Urschler, M., Pienn, M., Bosboom, D. G. H., Campo, A., Prokop, M., Jong, P. A., Ortiz-de-Solorzano, C., Muñoz-Barrutia, A., and van Ginneken, B., “Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: The VESSEL12 study”, Medical Image Analysis, vol. 18, pp. 1217-1232, 2014.
    https://www.sciencedirect.com/science/article/abs/pii/S136184151400111X?via%3Dihub
  18. [ZAHN-13a]G. Zahnd, Orkisz, M., Sérusclat, A., Moulin, P., and Vray, D., “Evaluation of a Kalman-based block matching method to assess the bi-dimensional motion of the carotid artery wall in B-mode ultrasound sequences”, Medical Image Analysis, vol. 17, pp. 573–585, 2013.
  19. [KIRI-2013]H. A. Kirişli, Schaap, M., Metz, C., Dharampal, A. S., Meijboom, W. B., Papadopoulou, S. L., Dedic, A., Nieman, K., de Graaf, M. A., Meijs, M. F. L., Cramer, M. J., Broersen, A., Cetin, S., Eslami, A., Flórez-Valencia, L., Lor, K. L., Matuszewski, B., Melki, I., Mohr, B., Öksüz, I., Shahzad, R., Wang, C., Kitslaar, P. H., Unal, G., Katouzian, A., Orkisz, M., Chen, C. M., Precioso, F., Najman, L., Masood, S., Ünay, D., van Vliet, L., Moreno, R., Goldenberg, R., Vuçini, E., Krestin, G. P., Niessen, W. J., and van Walsum, T., “Standardized evaluation framework for evaluating coronary artery stenoses detection, stenoses quantification and lumen segmentation algorithms in Computed Tomography Angiography”, Medical Image Analysis, vol. 17, pp. 859-876, 2013.
  20. [HERN-12b]M. Hernández Hoyos, Dávila Serrano, E. E., Correa Agudelo, E. M., Torres González, J. S., Corredor Jerez, R. A., Gutiérrez Ossa, F. A., Flórez-Valencia, L., Mouton, C., and Orkisz, M., “CreaTools: una plataforma para desarrollo de software de procesamiento de imágenes médicas. Aplicación a la segmentación de arterias coronarias y a la detección automática de lesiones en imágenes de angioTAC”, Revista Colombiana de Radiología, vol. 23, pp. 3521-3528, 2012.
  21. [HAME-11]K. Hameeteman, Zuluaga, M. A., Freiman, M., Joskowicz, L., Cuisinaire, O., Flórez-Valencia, L., Gülsün, M. A., Krissian, K., Mille, J., Wong, W. C. K., Orkisz, M., Tek, H., Hernández Hoyos, M., Benmansour, F., Chung, A. C. S., Rozie, S., van Gils, M., van den Borne, L., Sosna, J., Berman, P., Cohen, N., Douek, P., Sánchez, I., Aissat, M., Schaap, M., Metz, C. T., van der Lugt, A., Krestin, G., Niessen, W. J., and van Walsum, T., “Evaluation Framework for Carotid Bifurcation Lumen Segmentation and Stenosis Grading”, Med Image Anal, vol. 15, pp. 477-488, 2011.
  22. [ZULU-11a]M. A. Zuluaga, Magnin, I. E., Hernández Hoyos, M., Delgado Leyton, E. J. F., Lozano, F., and Orkisz, M., “Automatic detection of abnormal vascular cross-sections based on Density Level Detection and Support Vector Machines”, Int J Comput Assist Radiol Surg, vol. 6, pp. 163-174, 2011.
  23. [FLOR-10a]L. Flórez-Valencia, Azencot, J., and Orkisz, M., “Carotid arteries segmentation in CT images with use of a right generalized cylinder model”, Revista Colombiana de Computación, vol. 11, pp. 79-93, 2010.
    http://revistas.unab.edu.co/index.php?journal=rcc&page=article&op=view&path[]=1390&path[]=1334
  24. [ZULU-10d]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”, Actas Biol Colombianas, vol. 15, pp. 195 - 210, 2010.
    /site7/sites/www.creatis.insa-lyon.fr/files/Zuluaga_ABC_2010.pdf
  25. [ORLO-09]P. Orlowski and Orkisz, M., “Efficient computation of Hessian-based enhancement filters for tubular structures in 3D images”, Ingénierie et Recherche Biomédicale - IRBM, vol. 30, pp. 128–132, 2009.
  26. [SCHA-09]M. Schaap, Metz, C. T., van Walsum, T., van der Giessen, A. G., Weustink, A. C., Mollet, N. R., Bauer, C., Bogunović, H., Castro, C., Deng, X., Dikici, E., O'Donnell, T., Frenay, M., Friman, O., Hernández Hoyos, M., Kitslaar, P. H., Krissian, K., Kühnel, C., Luengo-Oroz, M. A., Orkisz, M., Smedby, Ö., Styner, M., Szymczak, A., Tek, H., Wang, C., Warfield, S. K., Zhang, Y., Zambal, S., Krestin, G. P., and Niessen, W. J., “Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms”, Med Image Anal, vol. 13, pp. 701–714, 2009.
  27. [ZULU-09e]M. A. Zuluaga, Orkisz, M., and Hernández Hoyos, M., “Mejoramiento de la segmentación arterial coronaria a traves del modelamiento del volumen parcial en imágenes TAC”, Revista Colombiana de Radiología, vol. 20, pp. 2702-2707, 2009.
    http://www.acronline.org/RevistaColombianadeRadiolog%C3%ADa/N%C3%BAmerosAnteriores/A%C3%B1o2009/tabid/723/Default.aspx
  28. [ORKI-08]M. Orkisz, Flórez-Valencia, L., and Hernández Hoyos, M., “Models, algorithms and applications in vascular image segmentation”, Mach Graph Vision, vol. 17, pp. 5-33, 2008.
    http://www.creatis.insa-lyon.fr/~orkisz/articles/Orkisz_MGV_2008.pdf
  29. [CARR-07]J. F. Carrillo, Hernández Hoyos, M., Dávila Serrano, E. E., and Orkisz, M., “Recursive tracking of vascular tree axes in 3D medical images”, Int J Comput Assist Radiol Surg, vol. 1, pp. 331-339, 2007.
  30. [CANT-07c]D. Cantor Rivera, Orkisz, M., Arias, J. A., Uriza, L. F., and Hernández Hoyos, M., “Modelamiento en 3D de patologías vasculares a partir de imágenes de resonancia magnética sustraídas”, Revista Colombiana de Radiología, vol. 18, pp. 2225-2232, 2007.
    /site7/sites/www.creatis.insa-lyon.fr/files/Cantor_RCR_2007.pdf
  31. [FLOR-07b]L. Flórez-Valencia, Montagnat, J., and Orkisz, M., “3D models for vascular lumen segmentation in MRA images and for artery-stenting simulation”, Innov Tech Biol Med - RBM, vol. 28, pp. 65-71, 2007.
  32. [HERN-06a]M. Hernández Hoyos, Orlowski, P., Piatkowska-Janko, E., Bogorodzki, P., and Orkisz, M., “Vascular centreline extraction in 3D MR angiograms applied to select acquisition plane for blood flow measurement by phase contrast MRI”, Int J Comput Assist Radiol Surg, vol. 1, pp. 51-61, 2006.
  33. [CARR-06d]J. F. Carrillo, Hernández Hoyos, M., Dávila Serrano, E. E., and Orkisz, M., “Segmentación y visualización arterial en ARM y TC”, Revista Colombiana de Radiología, vol. 17, pp. 2028-2036, 2006.
    /site7/sites/www.creatis.insa-lyon.fr/files/Carrillo_RCR_2006.pdf
  34. [HERN-06b]M. Hernández Hoyos, Serfaty, J. M., Maghiar, A., Mansard, C., Orkisz, M., Magnin, I. E., and Douek, P., “Evaluation of semi-automatic arterial stenosis quantification”, Int J Comput Assist Radiol Surg, vol. 1, pp. 167-175, 2006.
  35. [HERN-05]M. Hernández Hoyos, Orkisz, M., Douek, P., and Magnin, I. E., “Assessment of carotid artery stenoses in 3D contrast-enhanced magnetic resonance angiography, based on improved generation of the centerline”, Mach Graph Vision, vol. 14, pp. 349-378, 2005.
    http://www.creatis.insa-lyon.fr/~orkisz/articles/hernandez_MGV_2005.pdf
  36. [HADD-05c]R. Haddad, Clarysse, P., Orkisz, M., Revel, D., and Magnin, I. E., “A realistic anthropomorphic numerical model of the beating heart”, Innov Tech Biol Med - RBM, vol. 26, pp. 270-272, 2005.
  37. [MANS-04]C. Mansard, Canet-Soulas, E., Anwander, A., Chaabane, L., Neyran, B., Serfaty, J. M., Magnin, I. E., Douek, P., and Orkisz, M., “Quantification of multi-contrast vascular MR Images with the NLSnake, an active contour model : in vitro validation and in vivo evaluation”, Magn Reson Med, vol. 51, pp. 370-379, 2004.
  38. [FLOR-04b]L. Flórez-Valencia, Montagnat, J., and Orkisz, M., “3D graphical models for vascular-stent pose simulation”, Mach Graph Vision, vol. 13, pp. 235-248, 2004.
    http://www.creatis.insa-lyon.fr/~orkisz/articles/florez_MGV_04.pdf
  39. [AZEN-03]J. Azencot and Orkisz, M., “Deterministic and Stochastic State Model of Right Generalized Cylinder (RGC-sm): Application in Computer Phantoms Synthesis”, Graphical Models, vol. 65, pp. 323-350, 2003.
  40. [ORKI-02a]M. Orkisz, Frery, A., Durning, B., Chapet, O., Mornex, F., and Magnin, I. E., “Feasibility of motion estimation and tracking in portal images during treatment of pulmonary cancers by conformal radiotherapy”, Image Process Comm, vol. 7, pp. 63–76, 2002.PDF icon orkisz_IPC_2002.pdf (354.04 KB)
    /site7/sites/www.creatis.insa-lyon.fr/files/orkisz_IPC_2002.pdf
  41. [HERN-02a]M. Hernández Hoyos, Orkisz, M., Puech, P., Mansard, C., Douek, P., and Magnin, I. E., “Computer assisted analysis of 3D MRA images”, Radiographics, vol. 22, pp. 421-436, 2002.
    http://radiographics.rsna.org/content/22/2/421.full
  42. [MARC-02]B. Marchand, Douek, P., Robert, P., Corot, C., Roux, J. P., Adeleine, P., Hernández Hoyos, M., Crémillieux, Y., Orkisz, M., and Canet-Soulas, E., “Standardized MR protocol for the evaluation of MRA sequences and/or contrast agents effects in high-degree arterial stenosis analysis”, Magma, vol. 14, pp. 259–267, 2002.
  43. [ORKI-01a]M. Orkisz and Hernández Hoyos, M., “Models for 3D vascular image analysis”, J Med Inform Technol, vol. 2, pp. 13-22, 2001.
    /site7/sites/www.creatis.insa-lyon.fr/files/Orkisz_JMIT_2001.pdf
  44. [MARC-01a]B. Marchand, Hernández Hoyos, M., Orkisz, M., and Douek, P., “Diagnostic des sténoses de l'artère rénale en Angiographie par Résonance Magnétique et appréciation du degré de sténose”, J Mal Vasc, vol. 25, pp. 312-320, 2001.
  45. [ORKI-00a]M. Orkisz, Hernández Hoyos, M., Douek, P., and Magnin, I. E., “Advances of blood vessel morphology analysis in 3D magnetic resonance images”, Mach Graph Vision, vol. 9, pp. 463–471, 2000.
    https://www.researchgate.net/publication/228917735_Advances_of_blood_vessel_morphology_analysis_in_3D_magnetic_resonance_images
  46. [ORKI-99a]M. Orkisz, Bourlion, M., Gimenez, G., and Flam, T. A., “Real-time target tracking applied to improve fragmentation of renal stones in extra-corporeal lithotripsy”, Mach Vision Appl, vol. 11, pp. 138-144, 1999.
  47. [ORKI-98c]M. Orkisz, Farchtchian, T., Saighi, D., Bourlion, M., Thiounn, N., Gimenez, G., Debré, B., and Flam, T. A., “Image-based renal stone tracking to improve efficacy in extra-corporeal lithotripsy”, J Urol, vol. 160, pp. 1237-1240, 1998.
  48. [ORKI-98b]M. Orkisz, Farchtchian, T., Bourlion, M., Gimenez, G., Redarce, H., Flam, T. A., Saighi, D., and Debré, B., “Application du traitement d'images au suivi en temps réel de calculs urinaires en lithotritie extra-corporelle”, Innov Tech Biol Med, vol. 19 Spe, pp. 315-323, 1998.
  49. [ORKI-97a]M. Orkisz, Bresson, C., Magnin, I. E., Champin, O., and Douek, P., “Improved vessel visualization in MR angiography by non-linear anisotropic filtering”, Magn Reson Med, vol. 37, pp. 914-919, 1997.
  50. [ORKI-96c]M. Orkisz and Clarysse, P., “Estimation du flot optique en présence de discontinuités : une revue”, Traitement du Signal, vol. 13, pp. 489-513, 1996.
  51. [ORKI-92]M. Orkisz, “Localisation d'objets mobiles dans des scènes naturelles filmées par une caméra fixe”, Traitement du Signal, vol. 9, pp. 325–346, 1992.

Conference Paper

  1. [BITK-20a]“Prone positioning decreases macrophage recruitment in ventral lung regions of animals with experimental acute respiratory distress syndrome”, in 48ème congrès annuel de la Société de Réanimation de Langue Française, Paris, France, In Press.
  2. [RICH-19]“Transpulmonary pressures and computed tomography in experimental ARDS”, in 47ème congrès annuel de la Société de Réanimation de Langue Française, Paris, France, 2019, p. Annals of Intensive Care 2019, 9 (Suppl 1):CO-14.
  3. [ZAHN-19]“CAROLAB - A platform to analyze carotid ultrasound data”, in IEEE International Ultrasonics Symposium (IUS), Glasgow, Scotland, UK, 2019, pp. pp.463-466.
  4. [BITK-19b]“Prone positioning decreases macrophage influx in ventral lung regions in an experimental model of acute respiratory distress syndrome”, in European Society of Intensive Care Medicine 32nd Annual Congress, Berlin, Germany, 2019, p. Intensive Care Medicine Experimental Volume 7 Supplement 3.
  5. [ZAHN-17b]“Pattern analysis of the kinematics in ultrasound videos of the common carotid artery – Application to cardiovascular risk evaluation”, in International Forum on Medical Imaging in Asia – IFMIA, Tenbusu, Naha, Okinawa, Japan, 2017.
  6. [QORC-17b]“Extraction of characteristic patterns from carotid longitudinal kinetics”, in Recherche en Imagerie et Technologies pour la Santé (RITS), Lyon, France, 2017.
  7. [LIDA-17]“Airway-tree segmentation in subjects with acute respiratory distress syndrome”, in Scandinavian Conference on Image Analysis, Tromsø, Norway, 2017, pp. 76-87.
  8. [QORC-17a]“Estimating the periodic compression of the carotid intima-media using ultrasonography: a proof of concept”, in Recherche en Imagerie et Technologies pour la Santé (RITS), Lyon, France, 2017.
  9. [TERR-17b]“Utilisation d’un nouveau logiciel informatique pour l’évaluation de la courbure dans la maladie de Lapeyronie : l’étude GOSOFT”, in 111e Congrés Français d'Urologie, Suppl. Progrès en Urologie, 27:13, Paris, France, 2017, pp. 687 - 688.
    http://www.sciencedirect.com/science/article/pii/S1166708717302099
  10. [TERR-17]“Utility of 2D Photography in The Assessment of Penile Curvature in Men With Peyronie’s Disease (PD): The GoSoft Study”, in American Urological Association Annual Meeting, Boston, MA, USA, 2017, pp. e1138-39.
    http://www.jurology.com/article/S0022-5347(17)34109-5/fulltext
  11. [GOME-16]“Airway segmentation, skeletonization, and tree matching to improve registration of 3D CT images with large opacities in the lungs”, in International Conference on Computer Vision and Graphics, Warsaw, Poland, 2016, pp. 395-407.
  12. [MORA-16b]A. Morales Pinzón, Gómez Betancur, D. A., Solórzano Vargas, L. E., Richard, J. C., Orkisz, M., and Hernández Hoyos, M., “A novel hybrid registration method: Application to lung segmentation in CT images of subjects with ARDS”, in Octavo Seminario de Ingeniería Biomédica, Bogotá, Colombia, 2016.
  13. [SOLO-16]L. E. Solórzano Vargas, Morales Pinzón, A., Richard, J. C., Orkisz, M., and Hernández Hoyos, M., “Localized visualization and quantification of pulmonary parenchyma properties in CT scans in presence of Acute Respiratory Distress Syndrome (ARDS)”, in Octavo Seminario de Ingeniería Biomédica, Bogotá, Colombia, 2016.
  14. [FLOR-15]L. Flórez-Valencia, Morales Pinzón, A., Richard, J. C., Hernández Hoyos, M., and Orkisz, M., “Simultaneous skeletonization and graph description of airway trees in 3D CT images”, in GRETSI, Lyon, France, 2015.
  15. [COUR-15b]E. - J. Courtial, Orkisz, M., Douek, P., and Fulchiron, R., “Assessment of the hyper-viscoelastic behavior of aorta phantoms from ultrasound images”, in 10th Annual European Rheology Conference, Nantes, France, 2015.
  16. [COUR-14b]E. - J. Courtial, Orkisz, M., Douek, P. C., and Fulchiron, R., “Development and validation of realistic aortic phantom tailored for each patient”, in Artery, Maastricht, the Netherlands, 2014, p. P11.3.
  17. [ZAHN-14a]G. Zahnd, Orkisz, M., Balocco, S., Sérusclat, A., Moulin, P., and Vray, D., “Tracking arterial wall motion in a 2D+t volume”, in IEEE-EMBS International Conferences on Biomedical and Health Informatics, Valencia, Spain, 2014.
  18. [MORA-14b]A. Morales Pinzón, Orkisz, M., Richard, J. C., and Hernández Hoyos, M., “Lung segmentation in 3D CT images from induced Acute Respiratory Distress Syndrome”, in IEEE International Symposium on Biomedical Imaging - ISBI, Beijing, China, 2014.
  19. [MORA-14c]A. Morales Pinzón, Orkisz, M., Richard, J. C., Guérin, C., and Hernández Hoyos, M., “Lung segmentation in 3D CT Images of Induced Acute Respiratory Distress Syndrome”, in MICCAI NCIGT and NIH Image Guided Therapy Workshop, Boston, USA, 2014, p. 51.
  20. [CORR-14b]E. M. Correa Agudelo, Flórez-Valencia, L., Orkisz, M., Mouton, C., Dávila Serrano, E. E., and Hernández Hoyos, M., “A modular workflow architecture for coronary centerline extraction in Computed Tomography Angiography data”, in International Conference on Computer Vision and Graphics, Warsaw, Poland, 2014, vol. LNCS 8671, pp. 155-162.
  21. [CORR-14a]E. M. Correa Agudelo, Hernández Hoyos, M., Flórez-Valencia, L., and Orkisz, M., “An interactive coronary centerline extraction framework for CTA image analysis”, in Seminario Internacional de Ingeniería Biomédica, Bogotá, Colombie, 2014.
  22. [COUR-14a]E. - J. Courtial, Orkisz, M., Fanton, L., Douek, P., and Fulchiron, R., “Development and validation of realistic aortic phantoms tailored for each patient”, in IEEE EMBC, Chicago, 2014.
    http://emb.citengine.com/event/embc-2014/paper-details?pdID=2062
  23. [MORA-14a]A. Morales Pinzón, Hernández Hoyos, M., Richard, J. C., Torres González, J. S., and Orkisz, M., “Quantification of aeration in 3D CT images from induced acute respiratory distress syndrome”, in Seminario Internacional de Ingeniería Biomédica, Bogotá, Colombie, 2014.
  24. [RICH-13e]J. C. Richard, Pouzot, C., Morales Pinzón, A., Torres González, J. S., Ortega, D. C., Orkisz, M., Neyran, B., Lavenne, F., and Guérin, C., “Assessment of trending ability of the nitrogen washout-washin technique to detect change in end-expiratory lung volume”, in European Society of Intensive Care Medicine, Paris, 2013, Intensive Care Medicine., vol. 39, no. Suppl 2, p. S495.
  25. [RICH-13d]J. C. Richard, Pouzot, C., Morales Pinzón, A., Torres González, J. S., Ortega, D. C., Orkisz, M., Neyran, B., Lavenne, F., and Guérin, C., “Viscoelastic parameters of the respiratory system and tidal recruitment. A lung CT investigation in experimental Acute Respiratory Distress Syndrome.”, in European Society of Intensive Care Medicine, Paris, 2013, Intensive Care Medicine., vol. 39, no. Suppl 2, p. S495.
  26. [RICH-13c]J. C. Richard, Pouzot, C., Morales Pinzón, A., Torres González, J. S., Ortega, D. C., Orkisz, M., Neyran, B., Lavenne, F., and Guérin, C., “Validation of alveolar recruitment assessed by the nitrogen washout/washin technique using computed tomography as gold standard.”, in European Society of Intensive Care Medicine, Paris, 2013, Intensive Care Medicine., vol. 39, no. Suppl 2, p. S493.
  27. [COUR-13]E. - J. Courtial, Douek, P., Orkisz, M., and Fulchiron, R., “Développement et validation de fantômes d’aorte aux propriétés mécaniques contrôlées”, in Journées d'Etudes des POlymères, Aussois, France, 2013.
  28. [RICH-13b]J. C. Richard, Pouzot, C., Morales Pinzón, A., Torres González, J. S., Ortega, D. C., Orkisz, M., Neyran, B., Lavenne, F., and Guérin, C., “The significance of viscoelastic parameters in experimental Acute Respiratory Distress Syndrome. A lung CT study.”, in European Society of Intensive Care Medicine, Paris, 2013, Intensive Care Medicine., vol. 39, no. Suppl 2, p. S494.
  29. [MOUT-13]C. Mouton, Dávila Serrano, E. E., Cervenansky, F., Camarasu-Pop, S., Correa, E., Flórez-Valencia, L., Hernández Hoyos, M., and Orkisz, M., “CreaTools: A development framework for medical image processing software ; an application to segmentation, anomaly detection and quantification for coronary arteries”, in European BioImage Analysis Symposium 2013, IRB Barcelona, Spain, 2013.PDF icon 2013_10_Barcelona_Abstract.pdf (42.41 KB)
    http://eubias2013.irbbarcelona.org/meeting-report
  30. [RICH-13a]J. C. Richard, Pouzot, C., Morales Pinzón, A., Torres González, J. S., Ortega, D. C., Orkisz, M., Neyran, B., Lavenne, F., and Guérin, C., “Effects of PEEP and tidal volume on the reliability of end-expiratory volume measurement with the nitrogen washout/washin technique”, in European Society of Intensive Care Medicine, Paris, 2013, Intensive Care Medicine., vol. 39, no. Suppl 2, p. S307.
  31. [ORTE-12]D. C. Ortega, Orkisz, M., Lozano, F., and Hernández Hoyos, M., “Uso de Support Vector Machines para la segmentación de costillas en imágenes de TAC”, in Seminario de Ingeniería Biomédica – SIB, Bogotá, Colombia, 2012, p. 11.
    http://sib2012.uniandes.edu.co/wp-content/images/MEMORIAS%20SIB%202012.pdf
  32. [DAVI-12c]E. E. Dávila Serrano, Guigues, L., Roux, J. P., Cervenansky, F., Mouton, C., Camarasu-Pop, S., Flórez-Valencia, L., Hernández Hoyos, M., and Orkisz, M., “CreaTools: applications and development framework for medical image-processing software”, in Libre Software Meeting, Geneva, 2012.
    http://schedule2012.rmll.info/CreaTools-applications-and-development-framework-for-medical-image-processing-software?lang=en
  33. [PRIE-12e]J. C. Prieto, Pérez Romanello, C., Pérez Romanello, V., Revol-Muller, C., Odet, C., Orkisz, M., and Hernández Hoyos, M., “Segmentación del árbol vascular pulmonar”, in XXXVIII Conferencia Latinoamericana en Informática (CLEI), Medellín, Colombia, 2012, pp. 1-7.
  34. [CORR-12]R. A. Corredor Jerez, Zuluaga, M. A., Lozano, F., Orkisz, M., and Hernández Hoyos, M., “Segmentación de lumen arterial mediante Support Vector Machines en imágenes de TAC”, in Seminario de Ingeniería Biomédica – SIB, Bogotá, Colombia, 2012, pp. 9-10.
    http://sib2012.uniandes.edu.co/wp-content/images/MEMORIAS%20SIB%202012.pdf
  35. [FLOR-12b]L. Flórez-Valencia, Orkisz, M., Corredor Jerez, R. A., Torres González, J. S., Correa Agudelo, E. M., Mouton, C., and Hernández Hoyos, M., “Coronary artery segmentation and stenosis quantication in CT images with use of a right generalized cylinder model”, in MICCAI Workshop 3D Cardiovascular Imaging Segmentation Challenge, Nice, France, 2012, p. 8 in electronic proc.
    /site7/sites/www.creatis.insa-lyon.fr/files/miccai2012_coronary_challenge_creandpuj.pdf
  36. [HERN-12a]M. Hernández Hoyos, Dávila Serrano, E. E., Correa Agudelo, E. M., Torres González, J. S., Corredor Jerez, R. A., Gutiérrez Ossa, F. A., Flórez-Valencia, L., Mouton, C., and Orkisz, M., “CreaTools: una plataforma para desarrollo de software de procesamiento de imágenes médicas. Aplicación a la segmentación de arterias coronarias y a la detección automática de lesiones en imágenes de angioTAC”, in Congreso Colombiano de Radiología, Cartagena de Indias, Colombie, 2012.
  37. [GUTI-12]F. A. Gutiérrez Ossa, Corredor Jerez, R. A., Zuluaga, M. A., Orkisz, M., and Hernández Hoyos, M., “Aprendizaje de máquinas basado en árboles aleatorios para la segmentación automática de la arteria carótida en imágenes de TAC”, in Seminario de Ingeniería Biomédica – SIB, Bogotá, Colombia, 2012, pp. 14-15.
    http://sib2012.uniandes.edu.co/wp-content/images/MEMORIAS%20SIB%202012.pdf
  38. [ZULU-12]M. A. Zuluaga, Hernández Hoyos, M., Dávila, J. C., Uriza Carrasco, L. F., and Orkisz, M., “A fast lesion registration to assist coronary heart disease diagnosis in CTA images”, in Int. Conf. Comput. Vision Graph., Warsaw, Poland, 2012, vol. LNCS 7594, pp. 710-717.
  39. [DAVI-12a]E. E. Dávila Serrano, Guigues, L., Roux, J. P., Cervenansky, F., Camarasu-Pop, S., Flórez-Valencia, L., Hernández Hoyos, M., and Orkisz, M., “CreaTools: applications and development framework for medical image-processing software”, in ISBI Workshop on Open Source Medical Image Analysis Software, Barcelona, Spain, 2012.
    /site7/sites/www.creatis.insa-lyon.fr/files/CreaTools_ISBI_workshop_2012_0.pdf
  40. [PRIE-12c]J. C. Prieto, Revol-Muller, C., Odet, C., Orkisz, M., and Hernández Hoyos, M., “CreaLungs: a variational region growing method to segment pulmonary vascular trees”, in ISBI VESSEL12 Challenge, Barcelona, Spain, 2012.
    /site7/sites/www.creatis.insa-lyon.fr/files/AlgorithmDescription.pdf
  41. [ZAHN-12b]G. Zahnd, Orkisz, M., Sérusclat, A., and Vray, D., “Longitudinal motion of the carotid artery wall and speckle decorrelation issue: accurate estimation using a Kalman-based speckle tracking method”, in IEEE Ultrasonics Symposium, Dresden (Germany), 2012, pp. 1366 - 1369.
  42. [DAVI-12b]E. E. Dávila Serrano, Guigues, L., Cervenansky, F., Camarasu-Pop, S., Riveros Reyes, J. G., Flórez-Valencia, L., Hernández Hoyos, M., and Orkisz, M., “CreaTools: a framework to develop medical image processing software. Application to simulate pipeline stent deployment in intracranial vessels with aneurysms”, in Int. Conf. Comput. Vision. Graphics., Warsaw, Poland, 2012, vol. LNCS 7594, pp. 55-62.
  43. [FLOR-12a]L. Flórez-Valencia, Dávila Serrano, E. E., Riveros Reyes, J. G., Bernard, O., Latt, J., Malaspinas, O., Chopard, B., Courbebaisse, G., and Orkisz, M., “Virtual deployment of pipeline flow diverters in cerebral vessels with aneurysms to understand thrombosis”, in MICCAI-Workshop on Computer Assisted Stenting, Nice, France, 2012, pp. 49-56 (electronic proc.).
  44. [ZAHN-11a]G. Zahnd, Orkisz, M., Sérusclat, A., and Vray, D., “Estimation de la trajectoire 2D des parois de l'artère carotide, dans des séquences d'images échographiques, par une approche conjointe de segmentation et de suivi de speckle guidé”, in GRETSI, Bordeaux, France, 2011, p. 4 pages in CD.
  45. [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.
  46. [ZULU-11c]M. A. Zuluaga, Dong, P., Pacureanu, A., Orkisz, M., and Peyrin, F., “Minimum Cost Path Approach for the Segmentation of Bone Canalicular Network from Nano-CT Images”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Valencia, Spain, 2011.
    /site7/sites/www.creatis.insa-lyon.fr/files/zuluaga_MIC2011_3.pdf
  47. [ZAHN-11b]G. Zahnd, Orkisz, M., Sérusclat, A., and Vray, D., “Minimal-path contours combined with speckle tracking to estimate 2D displacements of the carotid artery wall in B-mode imaging”, in IEEE Int. Ultrasonics Symposium, Orlando, Florida, USA, 2011, pp. 732-735.
  48. [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.
  49. [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.

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