Zobrazeno 1 - 10
of 3 138
pro vyhledávání: '"Gabrio, A"'
Autor:
Gabrio, Andrea
Individual-level effectiveness and healthcare resource use (HRU) data are routinely collected in trial-based economic evaluations. While effectiveness is often expressed in terms of utility scores derived from some health-related quality of life inst
Externí odkaz:
http://arxiv.org/abs/2407.17036
Autor:
Orozco, Rafael, Witte, Philipp, Louboutin, Mathias, Siahkoohi, Ali, Rizzuti, Gabrio, Peters, Bas, Herrmann, Felix J.
InvertibleNetworks.jl is a Julia package designed for the scalable implementation of normalizing flows, a method for density estimation and sampling in high-dimensional distributions. This package excels in memory efficiency by leveraging the inheren
Externí odkaz:
http://arxiv.org/abs/2312.13480
Autor:
Louboutin, Mathias, Yin, Ziyi, Orozco, Rafael, Grady II, Thomas J., Siahkoohi, Ali, Rizzuti, Gabrio, Witte, Philipp A., Møyner, Olav, Gorman, Gerard J., Herrmann, Felix J.
We present the Seismic Laboratory for Imaging and Modeling/Monitoring (SLIM) open-source software framework for computational geophysics and, more generally, inverse problems involving the wave-equation (e.g., seismic and medical ultrasound), regular
Externí odkaz:
http://arxiv.org/abs/2304.05592
Autor:
MPW van de Sande, SMPL Gerards, MP L’Hoir, A Gabrio, RP Reijs, I Tissen, SW van Dam, FHGY Alberts, RM Meertens
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Sleep problems are common among infants and can have a serious impact on the health and wellbeing of both child and parents. To sustainably promote infant sleep on a population level, it is necessary to develop evidence-based prog
Externí odkaz:
https://doaj.org/article/82db72249d6845129feeb113e935400b
Autor:
Orozco, Rafael, Louboutin, Mathias, Siahkoohi, Ali, Rizzuti, Gabrio, van Leeuwen, Tristan, Herrmann, Felix
We present a novel approach to transcranial ultrasound computed tomography that utilizes normalizing flows to improve the speed of imaging and provide Bayesian uncertainty quantification. Our method combines physics-informed methods and data-driven m
Externí odkaz:
http://arxiv.org/abs/2303.03478
Autor:
Rizzuti, Gabrio, Schakel, Tim, Huttinga, Niek R. F., Dankbaar, Jan Willem, van Leeuwen, Tristan, Sbrizzi, Alessandro
Motion artifacts often spoil the radiological interpretation of MR images, and in the most severe cases the scan needs be repeated, with additional costs for the provider. We discuss the application of a novel 3D retrospective rigid motion correction
Externí odkaz:
http://arxiv.org/abs/2301.01106
Bayesian inference for high-dimensional inverse problems is computationally costly and requires selecting a suitable prior distribution. Amortized variational inference addresses these challenges via a neural network that approximates the posterior d
Externí odkaz:
http://arxiv.org/abs/2207.11640
Autor:
Verbeek, Hilde, Hamers, Jan P.H., Schols, Jos M.G.A., de Boer, Bram, Urlings, Judith H.J., Brouwers, Mara, Achterberg, Wilco P., Caljouw, Monique A.A., Landeweer, Elleke G.M., Luijendijk, Dika H.J., Schreuder, Miranda C., Zuidema, Sytse U., Perry, Marieke, Koopmans, Raymond T.C.M., Luijkx, Katrien G., Stoop, Annerieke, Groen, W.G., Groen, Wim G., Gabrio, Andrea
Publikováno v:
In Journal of the American Medical Directors Association December 2024 25(12)
Autor:
Iannopollo, Gianmarco, Cocco, Marta, Leone, Alessandro, Saccà, Salvatore, Mangino, Domenico, Picchi, Andrea, Reccia, Matteo Rocco, Fineschi, Massimo, Meliga, Emanuele, Audo, Andrea, Nobile, Giampiero, Tumscitz, Carlo, Penzo, Carlo, Saia, Francesco, Rubboli, Andrea, Moretti, Carolina, Vignali, Luigi, Niccoli, Giampaolo, Cimaglia, Paolo, Rognoni, Andrea, Aschieri, Daniela, Iaccarino, Daniele, Ottani, Filippo, Cavazza, Caterina, Varbella, Ferdinando, Secco, Gioel Gabrio, Bolognese, Leonardo, Limbruno, Ugo, Guiducci, Vincenzo, Campo, Gianluca, Casella, Gianni
Publikováno v:
In American Heart Journal February 2025 280:7-17
Autor:
Verso, Melina, Maraziti, Giorgio, Vinci, Alessandra, Castellani, Danilo, Bassotti, Gabrio, Morelli, Olivia
Publikováno v:
In Thrombosis Research January 2025 245