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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Boussaid, H., Kadoury, S., Kokkinos, I., Lazennec, J.-Y., Zheng, G., & Paragios, N. (2011, August). 3D model-based reconstruction of the proximal femur from low-dose biplanar X-ray images [Paper]. 22nd British Machine Vision Conference, Dundee, UK. External link
Kadoury, S., Labelle, H., & Paragios, N. (2013). Spine segmentation in medical images using manifold embeddings and higher-order MRFs. IEEE Transactions on Medical Imaging, 32(7), 1227-38. External link
Kadoury, S., Erus, G., Zacharaki, E. I., Paragios, N., & Davatzikos, C. (2012, May). Manifold-constrained embeddings for the detection of white matter lesions in brain MRI [Paper]. 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), Barcelona, Spain. External link
Kadoury, S., Labelle, H., & Paragios, N. (2011). Automatic inference of articulated spine models in CT images using high-order MRFs. Medical Image Analysis, 15(4), 426-437. External link
Kadoury, S., & Paragios, N. (2010, April). Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS [Paper]. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010), Rotterdam, Netherlands. External link
Shakeri, M., Ferrante, E., Tsogkas, S., Lippé, S., Kadoury, S., Kokkinos, I., & Paragios, N. (2016, October). Prior-based coregistration and cosegmentation [Paper]. 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), Athens, Greece. External link
Shaken, M., Tsogkas, S., Ferrante, E., Lippe, S., Kadoury, S., Paragios, N., & Kokkinos, I. (2016, April). Sub-cortical brain structure segmentation using F-CNN'S [Paper]. 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic. External link
