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Journal Article

  1. [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
  2. [DONG-14b]P. Dong, Pacureanu, A., Zuluaga, M. A., Olivier, C., Grimal, Q., and Peyrin, F., “Quantification of the 3D Morphology of the Bone Cell Network from Synchrotron Micro-CT Images”, Image Analysis and Stereology, vol. 33, pp. 157-166, 2014.
  3. [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
  4. [ZULU-11d]M. A. Zuluaga, Ibañez, L., and Peyrin, F., “Large Image Streaming using ITKv4”, The Insight Journal, vol. January-June, 2011.
    http://hdl.handle.net/10380/3263
  5. [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.
  6. [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.
  7. [ZULU-11e]M. A. Zuluaga, Larrue, A., Rattner, A., Vico, L., and Peyrin, F., “Acquisition of Synchrotron Radiation micro-CT images for the investigation of bone micro-cracks”, The MIDAS Journal - Medical Image Computing, p. 7, 2011.
    http://hdl.handle.net/10380/3261
  8. [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
  9. [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

Conference Paper

  1. [DONG-15a]P. Dong, Valette, S., Zuluaga, M. A., Kazakia, G. J., and Peyrin, F., “Voronoi-Based Analysis of Bone Cell Network from Synchrotron Radiation Micro-CT Images”, in IEEE ISBI, NYC, 2016.
  2. [Yang-14]F. Yang, Zhu, Y. M., Zuluaga, M. A., and Croisille, P., “Influence of post diffusion tensor image processing on fa measure of myocardial infarction in porcine model”, in ISMRM, Milan, Italy, 2014, p. 2575.
  3. [DONG-13b]P. Dong, Pacureanu, A., Zuluaga, M. A., Olivier, C., Frouin, F., Quentin, G., and Peyrin, F., “A New Quantitative Approach for Estimating Bone Cell Connections from Nano-CT Images”, in IEEE EMBC, Osaka, Japan, 2013, pp. 3694 - 3697.
  4. [DONG-13c]P. Dong, Pacureanu, A., Zuluaga, M. A., Gouttenoire, P. - J., Olivier, C., and Peyrin, F., “Quantification of Bone Cell Processes from Submicrometer Synchrotron Micro-CT Images”, in 11th European Congress of Stereology and Image Analysis, Kaiserslautern, Germany, 2013.
  5. [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.
  6. [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
  7. [DONG-12a]P. Dong, Pacureanu, A., Zuluaga, M. A., and Peyrin, F., “Quantification of Bone Cell Connections from 3D Nano-CT Images”, in TOPIM - Hot Topics in Molecular Imaging, Les Houches, France, 2012.
  8. [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
  9. [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
  10. [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.
  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. [ZULU-10c]M. A. Zuluaga, Delgado Leyton, E. J. F., Hernández Hoyos, M., and Orkisz, M., “Can the coronary artery centerline extraction in computed tomography images be improved by use of a partial volume model?”, in Int Conf Comput Vision Graphics, Warsaw, Poland, 2010, vol. LNCS 6375, pp. 385-392.
  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).
  14. [HAME-10]K. Hameeteman, Zuluaga, M. A., Freiman, M., van der Lugt, A., and van Walsum, T., “An standardized evaluation framework for automated carotid bifurcation lumen segmentation and stenosis grading methods”, in Radiological Society of North America, 96th Annual Meeting, Chicago, USA, 2010, p. in-press.
  15. [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).
  16. [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.
    /site7/sites/www.creatis.insa-lyon.fr/files/Benmansour_ISRACAS_2009.pdf
  17. [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.
  18. [ZULU-09b]M. A. Zuluaga, Orkisz, M., Delgado Leyton, E. J. F., Doré, V., Morales Pinzón, A., and Hernández Hoyos, M., “Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA images”, in MICCAI Workshop - 3D Segmentation in the Clinic: A Grand Challenge III, London, GB, 2009, p. 7 on-line.
    http://hdl.handle.net/10380/3102
  19. [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.
  20. [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.
    http://hdl.handle.net/10380/1401
  21. [ZULU-08]M. A. Zuluaga, Acosta, O., Bourgeat, P., Salvado, O., Hernández Hoyos, M., and Ourselin, S., “Cortical Thickness Measurement from Magnetic Resonance Images Using Partial Volume Estimation”, in SPIE: Medical Imaging, San Diego, 2008, p. 69140J.
  22. [BOUR-08]P. Bourgeat, Acosta, O., Zuluaga, M. A., Salvado, O., and Ourselin, S., “Improved Cortical Thickness Measurement from MR Images Using Partial Volume Estimation”, in 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2008, 2008, pp. 205-208.
  23. [ZULU-07a]M. A. Zuluaga, Dávila Serrano, E. E., Uriza, L. F., and Hernández Hoyos, M., “Carotid artery segmentation and characterization in 3D computed tomography (CT) images”, in 21st CARS - Comput Assisted Radiol Surg, Berlin, Germany, 2007, vol. 2, pp. S72 – S74.

Conference Proceedings

  1. [ZULU-09]K. Hameeteman, Freiman, M., Zuluaga, M. A., Joskowicz, L., Rozie, S., van Gils, M. J., van den Borne, L., Sosna, J., Berman, P., Cohen, N., Douek, P., Sánchez, I., Aissat, M., van der Lugt, A., Krestin, G. P., Niessen, W. J., and van Walsum, T., “Carotid Lumen Segmentation and Stenosis Grading Challenge”. 2009.

Invited Conference

  1. [PEYR-12c]F. Peyrin, Pacureanu, A., Zuluaga, M. A., Dong, P., and Langer, M., “3D X-ray CT imaging of the bone lacunar-canalicular network”. Proceedings IEEE 9th ISBI 2012, Barcelona, Spain , pp. 1788-1791, 2012.

Thesis

  1. [ZULU-11d]M. A. Zuluaga, “Methods for the automation of vascular lesions detection in computed tomography images”, Université Claude Bernard Lyon 1, Lyon, 2011.
    Bloch I. (rap.), Hernández J.T. (Pdt), Hernández Hoyos M.(co-Dir.), Magnin I.E., Orkisz M. (co-Dir.), Romero E.E. et Salvado O. (rap.)
    /site7/sites/www.creatis.insa-lyon.fr/files/thesis.pdf