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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.
Akakpo, L., Pierre, W. C., Jin, C., Londoño, I., Pouliot, P., & Lodygensky, G. A. (2017). User-independent diffusion tensor imaging analysis pipelines in a rat model presenting ventriculomegalia: A comparison study. NMR in Biomedicine, 30(11), 10 pages. External link
Guevara, E., Pierre, W. C., Tessier, C., Akakpo, L., Londono, I., Lesage, F., & Lodygensky, G. A. (2017). Altered functional connectivity following an inflammatory white matter injury in the newborn rat: A high spatial and temporal resolution intrinsic optical imaging study. Frontiers in Neuroscience, 11, 358 (11 pages). Available
Guevara, E., Sirpal, P., Abran, M., Pouliot, P., Lesage, F., Jin, C., Londoño, I., & Lodygensky, G. A. (2015, June). White matter injury in a newborn rat model analyzed with Resting-State Optical Imaging of Intrinsic Signals (rsOIS) [Paper]. Photonics North 2015, Ottawa, ON, Canada. External link
Guevara, E., Berti, R., Londoño, I., Ningshi, X., Bellec, P., Lesage, F., & Lodygensky, G. A. (2014, May). Photoacoustic imaging of an inflammatory lesion model in the neonatal rat brain [Paper]. Photonics North 2014, Montréal, Québec. External link
Kateb, P., Fan, J., Jinsil, K., Zhou, X., Lodygensky, G. A., & Cicoira, F. (2023). Printable, adhesive, and self-healing dry epidermal electrodes based on PEDOT:PSS and polyurethane diol. Flexible and printed electronics, 8(4), 045006 (14 pages). Available
Lopez Rios, N., Foias, A., Lodygensky, G. A., Stikov, N., Dehaes, M., & Cohen-Adad, J. (2017, April). Size-adaptable 13-channel receive array for brain imaging in human neonates at 3T. [Poster]. ISMRM 25th annual meeting & Exhibition, Honolulu, Hawai. External link
Pierre, W. C., Zhang, E., Londoño, I., De Leener, B., Lesage, F., & Lodygensky, G. A. (2022). Non-invasive in vivo MRI detects long-term microstructural brain alterations related to learning and memory impairments in a model of inflammation-induced white matter injury. Behavioural Brain Research, 428, 113884 (13 pages). External link
Pierre, W. C., Akakpo, L., Londono, I., Pouliot, P., Chemtob, S., Lesage, F., & Lodygensky, G. A. (2019). Assessing therapeutic response non-invasively in a neonatal rat model of acute inflammatory white matter injury using high-field MRI. Brain, Behavior, and Immunity, 81, 348-360. Available
Taherzadeh, M., Zhang, E., Londoño, I., De Leener, B., Wang, S., Cooper, J. D., Kennedy, T. E., Morales, C. R., Chen, Z., Lodygensky, G. A., & Pshezhetsky, A. V. (2023). Severe central nervous system demyelination in Sanfilippo disease. Frontiers in Molecular Neuroscience, 16, 16 pages. External link
Xu, K., Hernandez, S., Cox, S., Nadeau, H., Zhang, E., & Lodygensky, G. A. (2024, May). Changements dans le cerveau néonatal : une évaluation du développement et de la maturation des tissus cérébraux néonatals grâce à l'imagerie par résonance magnétique de diffusion [Presentation]. In 91e Congrès de l'Acfas, Ottawa, ON, Canada. External link
Zhang, E., De Leener, B., & Lodygensky, G. A. (2025). Diffusion bubble model: a novel MRI approach for detection and subtyping of neonatal punctate white matter lesions. NeuroImage, 317, 121324 (12 pages). Available
Zhang, E., Londoño, I., Fouquet, J. P., Pshezhetsky, A. V., De Leener, B., & Lodygensky, G. A. (2023, June). Diffusion Bubble Model: A Novel Method For Detecting Neuroinflammation in Mouse Brain With Sanfilippo Syndrome [Paper]. ISMRM & ISMRT annual Meeting & Exhibition, Toronto, ON, Canada. Published in Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition. External link
Zhou, X., Kateb, P., Fan, J., Kim, J., Lodygensky, G. A., Amilhon, B., Pasini, D., & Cicoira, F. (2023). Conducting polymer films and bioelectrodes combining high adhesion and electro-mechanical self-healing. Journal of Materials Chemistry C, 10 pages. External link
Zhou, X., Rajeev, A., Subramanian, A., Li, Y., Rossetti, N., Natale, G., Lodygensky, G. A., & Cicoira, F. (2022). Erratum to Self-healing, stretchable and highly adhesive hydrogels for epidermal patch electrodes [Acta Biomaterialia 139 (2022) 296-306]. Acta Materialia, 145, 436-436. External link
Zhou, X., Rajeev, A., Subramanian, A., Li, Y., Rossetti, N., Natale, G., Lodygensky, G. A., & Cicoira, F. (2022). Self-healing, stretchable, and highly adhesive hydrogels for epidermal patch electrodes. Acta Biomaterialia, 139, 296-306. External link
