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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. [ZAHN-19]CAROLAB - A platform to analyze carotid ultrasound data, in IEEE International Ultrasonics Symposium (IUS), Glasgow, Scotland, UK, 2019.
  3. [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.
  4. [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.
  5. [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.
  6. [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.
  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-17b]Extraction of characteristic patterns from carotid longitudinal kinetics, in Recherche en Imagerie et Technologies pour la Santé (RITS), Lyon, France, 2017.
  9. [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.
  10. [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.
  11. [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.
  12. [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.
  13. [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).

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