Zobrazeno 1 - 10
of 224
pro vyhledávání: '"De Luca Alberto"'
Autor:
Cazorzi Federico, Barbini Matteo, Beinat Alberto, Bernard Martino, Boreggio Mauro, Cesca Matteo, Cucchiaro Sara, Dainese Roberta, De Luca Alberto, Demmler Christian, Gregoretti Carlo, Hagen Karl, Lechner Veronika, Maset Eleonora, Neuhauser Michael, Nicolosi Paolo, Zingerle Christoph
Publikováno v:
E3S Web of Conferences, Vol 415, p 03005 (2023)
Early warning systems for debris flows are low cost measures for mitigating this kind of hazard. The early warning systems provide a timely alert for upcoming events in order to take protective measures, such as closing railways-roads, evacuating peo
Externí odkaz:
https://doaj.org/article/baecd204324d4e2da88bd9a7b7363cf3
Autor:
Duarte Coello, Roberto, Valdés Hernández, Maria del C., Zwanenburg, Jaco J.M., van der Velden, Moniek, Kuijf, Hugo J., De Luca, Alberto, Moyano, José Bernal, Ballerini, Lucia, Chappell, Francesca M., Brown, Rosalind, Jan Biessels, Geert, Wardlaw, Joanna M.
Publikováno v:
In Journal of Neuroscience Methods March 2024 403
Publikováno v:
Neuroimage Volume 218, September 2020, 116948
Spherical deconvolution is a widely used approach to quantify fiber orientation distribution from diffusion MRI data. The damped Richardson-Lucy (dRL) is developed to perform robust spherical deconvolution on single shell diffusion MRI data. While th
Externí odkaz:
http://arxiv.org/abs/1910.05372
Publikováno v:
Medical Image Analysis, Volume 65, 2020, 101758, ISSN 1361-8415
Knowledge of the noise distribution in diffusion MRI is the centerpiece to quantify uncertainties arising from the acquisition process. Accurate estimation beyond textbook distributions often requires information about the acquisition process, which
Externí odkaz:
http://arxiv.org/abs/1906.12121
Autor:
Duering, Marco **, Biessels, Geert Jan, Brodtmann, Amy, Chen, Christopher, Cordonnier, Charlotte, de Leeuw, Frank-Erik, Debette, Stéphanie, Frayne, Richard, Jouvent, Eric, Rost, Natalia S, ter Telgte, Annemieke, Al-Shahi Salman, Rustam, Backes, Walter H, Bae, Hee-Joon, Brown, Rosalind, Chabriat, Hugues, De Luca, Alberto, deCarli, Charles, Dewenter, Anna, Doubal, Fergus N, Ewers, Michael, Field, Thalia S, Ganesh, Aravind, Greenberg, Steven, Helmer, Karl G, Hilal, Saima, Jochems, Angela C C, Jokinen, Hanna, Kuijf, Hugo, Lam, Bonnie Y K, Lebenberg, Jessica, MacIntosh, Bradley J, Maillard, Pauline, Mok, Vincent C T, Pantoni, Leonardo, Rudilosso, Salvatore, Satizabal, Claudia L, Schirmer, Markus D, Schmidt, Reinhold, Smith, Colin, Staals, Julie, Thrippleton, Michael J, van Veluw, Susanne J, Vemuri, Prashanthi, Wang, Yilong, Werring, David, Zedde, Marialuisa, Akinyemi, Rufus O, Del Brutto, Oscar H, Markus, Hugh S, Zhu, Yi-Cheng, Smith, Eric E, Dichgans, Martin, Wardlaw, Joanna M *
Publikováno v:
In The Lancet Neurology July 2023 22(7):602-618
Diffusion functional MRI (dfMRI) is a promising technique to map functional activations by acquiring diffusion-weighed spin-echo images. In previous studies, dfMRI showed higher spatial accuracy at activation mapping compared to classic functional MR
Externí odkaz:
http://arxiv.org/abs/1902.05138
Publikováno v:
St-Jean S. et al. (2018) Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI. In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2018. LNCS, vol 11070. Springer, Cham
Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process. The use of parallel imaging methods, the number of receiver coils and imaging filters applied by
Externí odkaz:
http://arxiv.org/abs/1805.12071
Autor:
De Luca, Alberto, Karayumak, Suheyla Cetin, Leemans, Alexander, Rathi, Yogesh, Swinnen, Stephan, Gooijers, Jolien, Clauwaert, Amanda, Bahr, Roald, Sandmo, Stian Bahr, Sochen, Nir, Kaufmann, David, Muehlmann, Marc, Biessels, Geert-Jan, Koerte, Inga, Pasternak, Ofer
Publikováno v:
In NeuroImage 1 October 2022 259
Autor:
Maffei, Chiara, Girard, Gabriel, Schilling, Kurt G., Aydogan, Dogu Baran, Adluru, Nagesh, Zhylka, Andrey, Wu, Ye, Mancini, Matteo, Hamamci, Andac, Sarica, Alessia, Teillac, Achille, Baete, Steven H., Karimi, Davood, Yeh, Fang-Cheng, Yildiz, Mert E., Gholipour, Ali, Bihan-Poudec, Yann, Hiba, Bassem, Quattrone, Andrea, Quattrone, Aldo, Boshkovski, Tommy, Stikov, Nikola, Yap, Pew-Thian, de Luca, Alberto, Pluim, Josien, Leemans, Alexander, Prabhakaran, Vivek, Bendlin, Barbara B., Alexander, Andrew L., Landman, Bennett A., Canales-Rodríguez, Erick J., Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Rensonnet, Gaëtan, Schiavi, Simona, Daducci, Alessandro, Pizzolato, Marco, Fischi-Gomez, Elda, Thiran, Jean-Philippe, Dai, George, Grisot, Giorgia, Lazovski, Nikola, Puch, Santi, Ramos, Marc, Rodrigues, Paulo, Prčkovska, Vesna, Jones, Robert, Lehman, Julia, Haber, Suzanne N., Yendiki, Anastasia
Publikováno v:
In NeuroImage 15 August 2022 257
Autor:
Rasing, Ingeborg, Vlegels, Naomi, Schipper, Manon R, Voigt, Sabine, Koemans, Emma A, Kaushik, Kanishk, van Dort, Rosemarie, van Harten, Thijs W, De Luca, Alberto, van Etten, Ellis S, van Zwet, Erik W, van Buchem, Mark A, Middelkoop, Huub AM, Biessels, Geert Jan, Terwindt, Gisela M, van Osch, Matthias JP, van Walderveen, Marianne AA, Wermer, Marieke JH
Publikováno v:
Journal of Cerebral Blood Flow & Metabolism; Nov2024, Vol. 44 Issue 11, p1253-1261, 9p