 | Up a level |
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.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
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.
Boshkovski, T., Cohen-Adad, J., Misic, B., Arnulf, I., Corvol, J.-C., Vidailhet, M., Lehéricy, S., Stikov, N., & Mancini, M. (2021). The Myelin-Weighted Connectome in Parkinson's Disease. Movement Disorders, 37(4), 724-733. External link
Boshkovski, T., Kocarev, L., Cohen-Adad, J., Mišić, B., Lehéricy, S., Stikov, N., & Mancini, M. (2021). The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure. Network Neuroscience, 5(2), 358-372. External link
Carandini, T., Mancini, M., Bogdan, I., Rae, C. L., Barritt, A. W., Sethi, A., Harrison, N., Rashid, W., Scarpini, E., Galimberti, D., Bozzali, M., & Cercignani, M. (2021). Disruption of brainstem monoaminergic fibre tracts in multiple sclerosis as a putative mechanism for cognitive fatigue: a fixel-based analysis. Neuroimage-Clinical, 30, 102587 (13 pages). External link
Carandini, T., Mancini, M., Bogdan, I., Rae, C. L., Barritt, A. W., Clerico, M., Sethi, A., Harrison, N., Rashid, W., Scarpini, E., Galimberti, D., Bozzali, M., & Cercignani, M. (2021). In vivo evidence of functional disconnection between brainstem monoaminergic nuclei and brain networks in multiple sclerosis. Multiple Sclerosis and Related Disorders, 56, 103224 (8 pages). External link
Casamitjana, A., Mancini, M., & Iglesias, J. E. (2021, September). Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images [Paper]. 6th International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI 2021). External link
Carandini, T., Mancini, M., Bogdan, I., Rae, C., Barritt, A., Sethi, A., Harrison, N., Rashid, W., Bozzali, M., & Cercignani, M. (2020, May). Brainstem monoaminergic functional and structural connectivity is altered in multiple sclerosis and associated to cognitive fatigue [Abstract]. 6th Congress of the European-Academy-of-Neurology (EAN 2020) (1 page). Published in European Journal of Neurology, 27(S1). External link
Gau, R., Noble, S., Heuer, K., Bottenhorn, K. L., Bilgin, I. P., Yang, Y., Huntenburg, J. M., Bayer, J., Bethlehem, R. A. I., Rhoads, S. A., Vogelbacher, C., Borghesani, V., Levitis, E., Wang, H.-T., Bossche, S. V. D., Kobeleva, X., Legarreta, J. H., Guay, S., Atay, M. S., ... Forkel, S. J. (2021). Brainhack: Developing a culture of open, inclusive, community-driven neuroscience. Neuron, 109(11), 1769-1775. External link
Maffei, C., Girard, G., Schilling, K. G., Aydogan, D. B., Adluru, N., Zhylka, A., Wu, Y., Mancini, M., Hamamci, A., Sarica, A., Teillac, A., Baete, S. H., Karimi, D., Yeh, F.-C., Yildiz, M. E., Gholipour, A., Bihan-Poudec, Y., Hiba, B., Quattrone, A., ... Yendiki, A. (2022). Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage, 257, 119327 (17 pages). Available
Mancini, M., & Iglesias, J. E. (2022). Synthesis for image analysis across modalities. In Burgos, N., & Svoboda, D. (eds.), Biomedical Image Synthesis and Simulation (pp. 195-216). External link
Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T., & Stikov, N. (2022). An interactive meta-analysis of MRI biomarkers of myelin [Dataset]. External link
Mancini, M., Tian, Q., Fan, Q., Cercignani, M., & Huang, S. Y. (2021). Dissecting whole-brain conduction delays through MRI microstructural measures. Brain Structure and Function, 226(8), 2651-2663. Available
Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T. E., & Stikov, N. (2020). Author response: An interactive meta-analysis of MRI biomarkers of myelin. eLife, 9, e61523 (23 pages). External link
Mancini, M., Casamitjana, A., Peter, L., Robinson, E., Crampsie, S., Thomas, D. L., Holton, J. L., Jaunmuktane, Z., & Iglesias, J. E. (2020). A multimodal computational pipeline for 3D histology of the human brain. Scientific Reports, 10(1), 13839 (21 pages). Available
Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T. E., & Stikov, N. (2020). An interactive meta-analysis of MRI biomarkers of myelin. Elife, 9, e61523 (23 pages). External link
