Photo of Marco Pizzolato

Marco Pizzolato

  • Richard Petersens Plads, 324, 130

    2800 Kgs. Lyngby

    Denmark

20202020

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  • Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge

    Pizzolato, M., Palombo, M., Bonet-Carne, E., Tax, C. M. W., Grussu, F., Ianus, A., Bogusz, F., Pieciak, T., Ning, L., Larochelle, H., Descoteaux, M., Chamberland, M., Blumberg, S. B., Mertzanidou, T., Alexander, D. C., Afzali, M., Aja-Fernández, S., Jones, D. K., Westin, C-F., Rathi, Y. & 10 others, Baete, S. H., Cordero-Grande, L., Ladner, T., Slator, P. J., Hajnal, J. V., Thiran, J-P., Price, A. N., Sepehrband, F., Zhang, F. & Hutter, J., 2020, Computational Diffusion MRI. Bonet-Carne, E. (ed.). Springer, p. 195-208 (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Open Access
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    75 Downloads (Pure)
  • An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms

    Truffet, R., Rafael-Patino, J., Girard, G., Pizzolato, M., Barillot, C., Thiran, J. P. & Caruyer, E., 2020, Medical Image Computing and Computer Assisted Intervention . Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer, p. 94-103 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12262 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Fast and high-resolution myelin water imaging: Accelerating multi-echo GRASE with CAIPIRINHA

    Piredda, G. F., Hilbert, T., Canales-Rodríguez, E. J., Pizzolato, M., von Deuster, C., Meuli, R., Pfeuffer, J., Daducci, A., Thiran, J. P. & Kober, T., 2020, In : Magnetic Resonance in Medicine. 85, 1, p. 209-222

    Research output: Contribution to journalJournal articleResearchpeer-review

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