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This 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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A 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.
Grady, L., Lombaert, H., Polimeni Rizzo, J., & Cheriet, F. (2015). Methods and systems for fast automatic brain matching via spectral correspondence. (Patent no. US8965077). External link
Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (2014). Spectral log-demons: Diffeomorphic image registration with very large deformations. International Journal of Computer Vision, 107(3), 254-271. External link
Lombaert, H., Grady, L., Polimeni, J. R., & Cheriet, F. (2013). FOCUSR: Feature oriented correspondence using spectral regularization -A method for precise surface matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(9), 2143-2160. External link
Lombaert, H., Grady, L., Pennec, X., Peyrat, J.-M., Ayache, N., & Cheriet, F. (2012, October). Groupwise spectral log-demons framework for atlas construction [Paper]. 2nd MICCAI Workshop on Medical Computer Vision (MICCAI-MCV 2012), Nice, France. External link
Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (2012, October). Spectral demons - Image registration via global spectral correspondence [Paper]. 12th European Conference on Computer Vision (ECCV 2012), Florence, Italy. External link
Lombaert, H., Grady, L., Polimeni, J.̈. R., & Cheriet, F. (2011, July). Fast brain matching with spectral correspondence [Paper]. 22nd International Conference on Information Processing in Medical Imaging (IPMI 2011), Kloster Irsee, Germany. External link
Sun, Y., Lombaert, H., Grady, L., & Xu, C. (2014). Multilevel image segmentation. (Patent no. US8913830). External link