Zobrazeno 1 - 10
of 3 063
pro vyhledávání: '"A, Figini"'
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
Image Quality Transfer (IQT) aims to enhance the contrast and resolution of low-quality medical images, e.g. obtained from low-power devices, with rich information learned from higher quality images. In contrast to existing IQT methods which adopt su
Externí odkaz:
http://arxiv.org/abs/2411.05885
The paper presents a novel approach for unsupervised techniques in the field of clustering. A new method is proposed to enhance existing literature models using the proper Bayesian bootstrap to improve results in terms of robustness and interpretabil
Externí odkaz:
http://arxiv.org/abs/2409.08954
Autor:
Cicimen, Alp G., Tregidgo, Henry F. J., Figini, Matteo, Messaritaki, Eirini, McNabb, Carolyn B., Palombo, Marco, Evans, C. John, Cercignani, Mara, Jones, Derek K., Alexander, Daniel C.
Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods. However, the difficulty in obtaining ultra-high resolution Diffusion MRI scans poses a problem in training neur
Externí odkaz:
http://arxiv.org/abs/2408.03216
Autor:
Tholerus, E., Garzotti, L., Parail, V., Baranov, Y., Bonnin, X., Corrigan, G., Eriksson, F., Farina, D., Figini, L., Harting, D. M., Kim, S. H., Koechl, F., Loarte, A., Asp, E. Militello, Nordman, H., Pinches, S. D., Polevoi, A. R., Strand, P.
In the initial stages of ITER operation, ELM mitigation systems need to be commissioned. This requires controlled flat-top operation in type-I ELMy H-mode regimes. Hydrogen or helium plasma discharges are used exclusively in these stages to ensure ne
Externí odkaz:
http://arxiv.org/abs/2408.01222
Autor:
Biwole, A. Tema, Porte, L., Fasoli, A., Figini, L., Decker, J., Hoppe, M., Cazabonne, J., Votta, L., Simonetto, A., Coda, S., Team, TCV
This paper describes the first Vertical Electron Cyclotron Emission (V-ECE) measurement of non-thermal electron distributions in the \textit{Tokamak \`a Configuration Variable}, TCV. These measurements were conducted in runaway electron scenarios and
Externí odkaz:
http://arxiv.org/abs/2407.18780
Autor:
Bondesan, Andrea, Piralla, Antonio, Ballante, Elena, Pitrolo, Antonino Maria Guglielmo, Figini, Silvia, Baldanti, Fausto, Zanella, Mattia
A pipeline to evaluate the evolution of viral dynamics based on a new model-driven approach has been developed in the present study. The proposed methods exploit real data and the multiscale structure of the infection dynamics to provide robust predi
Externí odkaz:
http://arxiv.org/abs/2407.03158
In Part-I, we presented an optimal day-ahead scheduling scheme for dispatching active distribution networks accounting for the flexibility provided by electric vehicle charging stations (EVCSs) and other controllable resources such as battery energy
Externí odkaz:
http://arxiv.org/abs/2404.12870
Autor:
Gupta, Rahul K., Fahmy, Sherif, Chevron, Max, Vasapollo, Riccardo, Figini, Enea, Paolone, Mario
This paper proposes a grid-aware scheduling and control framework for Electric Vehicle Charging Stations (EVCSs) for dispatching the operation of an active power distribution network. The framework consists of two stages. In the first stage, we deter
Externí odkaz:
http://arxiv.org/abs/2404.12863
Autor:
Kim, Seunghoi, Jin, Chen, Diethe, Tom, Figini, Matteo, Tregidgo, Henry F. J., Mullokandov, Asher, Teare, Philip, Alexander, Daniel C.
Recent developments in diffusion models have advanced conditioned image generation, yet they struggle with reconstructing out-of-distribution (OOD) images, such as unseen tumors in medical images, causing "image hallucination" and risking misdiagnosi
Externí odkaz:
http://arxiv.org/abs/2404.05980
Low-field (LF) MRI scanners (<1T) are still prevalent in settings with limited resources or unreliable power supply. However, they often yield images with lower spatial resolution and contrast than high-field (HF) scanners. This quality disparity can
Externí odkaz:
http://arxiv.org/abs/2311.06631