Personal Information: |
Position: |
Profesor |
Phone or fax: |
(+34) 928452956 |
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Description: |
Karl Krissian completed his PhD thesis in medical image processing on multiscale detection of three-dimensional vascular structures at INRIA Sophia-Antipolis, France in January 2000. Since then, he has worked in Spain at the University of Las Palmas de Gran Canaria and in the United States, at the Brigham and Women's Hospital, Harvard Medical School, in Boston. During this time, he has had the opportunity to work on various European and American research projects and to contribute to the development of several open-source image processing libraries and software. In 2013, he moved from academy to industry and worked at Intrasense SA company located in Montpellier, France, in research and development of automatic and semi-automatic algorithms for three-dimensional vascular segmentation, as well as the optimization of CPU-based 3D Volume Rendering. He has worked on the demonstration system of the IPOL (Image Processing OnLine) journal at the CMLA (Center of Mathematics and their Applications, ENS Cachan) laboratory. He is currently working at GoPro.
Google Scholar
ResearchGate
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Line of Research |
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Publications |
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Trujillo Pino, A., Krissian, K., Alemán Flores, M. & Santana Cedrés, D. (2013). Accurate subpixel edge location based on partial area effect. Image and Vision Computing, 31(1), 72 - 90 [Bibtex] [Online version]
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Trujillo Pino, A., Krissian, K., Santana Cedrés, D., Esclarín Monreal, J. & Carreira-Villamor, J. M (2012). A subpixel edge detector applied to aortic dissection detection. Computer Aided Systems Theory--EUROCAST 2011. Springer Berlin Heidelberg. [Bibtex] [Online version]
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Krissian, K., Santana Jorge, F. J., Santana Cedrés, D., Falcón-Torres, C., Arencibia García, S., Illera, S. et al. (2012). AMILab software: medical image analysis, processing and visualization.. Studies in Health Technology and Informatics, 173, 233-237 [Bibtex]
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Hameeteman, K., Zuluaga, M. A., Freiman, M., Joskowicz, L., Cuisenaire, O., Valencia, L. F. et al. (2011). Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. Medical Image Analysis, In Press, Corrected Proof, - [Bibtex] [Online version]
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Wu, X., Luboz, V., Krissian, K., Cotin, S. & Dawson, S. (2011). Segmentation and reconstruction of vascular structures for 3D real-time simulation. Medical Image Analysis, 15(1), 22-34 [Bibtex] [Online version]
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Projects |
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