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Journal Article

Conference Paper

  1. [ZAHN-19]CAROLAB - A platform to analyze carotid ultrasound data, in IEEE International Ultrasonics Symposium (IUS), Glasgow, Scotland, UK, 2019.
  2. [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.
  3. [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.
  4. [LIDA-17]Airway-tree segmentation in subjects with acute respiratory distress syndrome, in Scandinavian Conference on Image Analysis, Tromsø, Norway, 2017, pp. 76-87.
  5. [QORC-17b]Extraction of characteristic patterns from carotid longitudinal kinetics, in Recherche en Imagerie et Technologies pour la Santé (RITS), Lyon, France, 2017.
  6. [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.
  7. [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.
  8. [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.
  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. [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).
  11. [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.
  12. [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.
  13. [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.

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