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pro vyhledávání: '"Perelli P"'
A challenge in high-dimensional inverse problems is developing iterative solvers to find the accurate solution of regularized optimization problems with low computational cost. An important example is computed tomography (CT) where both image and dat
Externí odkaz:
http://arxiv.org/abs/2412.10249
Publikováno v:
Medical Image Understanding and Analysis (MIUA), Lecture Notes in Computer Science, Springer, vol. 14859, 2024
Accurate brain tumor segmentation remains a challenging task due to structural complexity and great individual differences of gliomas. Leveraging the pre-eminent detail resilience of CRF and spatial feature extraction capacity of V-net, we propose a
Externí odkaz:
http://arxiv.org/abs/2411.14418
Autor:
Perelli, Gianpaolo, Panzino, Andrea, Casula, Roberto, Micheletto, Marco, Orrù, Giulia, Marcialis, Gian Luca
The impact of voice disorders is becoming more widely acknowledged as a public health issue. Several machine learning-based classifiers with the potential to identify disorders have been used in recent studies to differentiate between normal and path
Externí odkaz:
http://arxiv.org/abs/2410.16341
Autor:
Najib, Muhammad, Perelli, Giuseppe
Mechanism design is a well-established game-theoretic paradigm for designing games to achieve desired outcomes. This paper addresses a closely related but distinct concept, equilibrium design. Unlike mechanism design, the designer's authority in equi
Externí odkaz:
http://arxiv.org/abs/2408.10074
Autor:
Fabiani, Sergio, Del Monte, Ettore, Baffo, Ilaria, Bonomo, Sergio, Brienza, Daniele, Campana, Riccardo, Centrone, Mauro, Contini, Gessica, Costa, Enrico, Cucinella, Giovanni, Curatolo, Andrea, De Angelis, Nicolas, De Cesare, Giovanni, Del Re, Andrea, Di Cosimo, Sergio, Di Filippo, Simone, Di Marco, Alessandro, Di Persio, Giuseppe, Donnarumma, Immacolata, Fanelli, Pierluigi, Leonetti, Paolo, Locarini, Alfredo, Loffredo, Pasqualino, Lombardi, Giovanni, Minervini, Gabriele, Modenini, Dario, Muleri, Fabio, Natalucci, Silvia, Negri, Andrea, Perelli, Massimo, Rossi, Monia, Rubini, Alda, Scalise, Emanuele, Soffitta, Paolo, Terracciano, Andrea, Tortora, Paolo, Zaccagnino, Emauele, Zambardi, Alessandro
The CUbesat Solar Polarimeter (CUSP) project is a future CubeSat mission orbiting the Earth aimed to measure the linear polarization of solar flares in the hard X-ray band, by means of a Compton scattering polarimeter. CUSP will allow us to study the
Externí odkaz:
http://arxiv.org/abs/2407.04748
Autor:
Cologgi, F., Alimenti, A., Fabiani, S., Torokthii, K., Silva, E., Del Monte, E., Baffo, I., Bonomo, S., Brienza, D., Campana, R., Centrone, M., Contini, G., Costa, E., Curatolo, A., Cucinella, G., DevAngelis, N., De Cesare, G., Del Re, A., Di Cosimo, S., Di Filippo, S., Di Marco, A., Di Persio, G., Donnarumma, I., Fanelli, P., Leonetti, P., Locarini, A., Loffredo, P., Lombardi, G., Minervini, G., Modenini, D., Muleri, F., Natalucci, S., Nigri, A., Perelli, M., Rossi, M., Rubini, A., Scalise, E., Soffitta, P., Terracciano, C., Tortora, P., Zaccagnino, E., Zambardi, A.
The CUbesat Solar Polarimeter (CUSP) project is a CubeSat mission orbiting the Earth aimed to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter. CUSP will allow the study of the magnet
Externí odkaz:
http://arxiv.org/abs/2407.04136
Autor:
Lombardi, Giovanni, Fabiani, Sergio, Del Monte, Ettore, Costa, Enrico, Soffitta, Paolo, Muleri, Fabio, Baffo, Ilaria, Biancolini, Marco E., Bonomo, Sergio, Brienza, Daniele, Campana, Riccardo, Centrone, Mauro, Contini, Gessica, Cucinella, Giovanni, Curatolo, Andrea, De Angelis, Nicolas, De Cesare, Giovanni, Del Re, Andrea, Di Cosimo, Sergio, Di Filippo, Simone, Di Marco, Alessandro, Di Meo, Emanuele, Di Persio, Giuseppe, Donnarumma, Immacolata, Fanelli, Pierluigi, Leonetti, Paolo, Locarini, Alfredo, Loffredo, Pasqualino, Lopez, Andrea, Minervini, Gabriele, Modenini, Dario, Natalucci, Silvia, Negri, Andrea, Perelli, Massimo, Rossi, Monia, Rubini, Alda, Scalise, Emanuele, Terracciano, Andrea, Tortora, Paolo, Zaccagnino, Emanuele, Zambardi, Alessandro
The CUbesat Solar Polarimeter (CUSP) project aims to develop a constellation of two CubeSats orbiting the Earth to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter on board of each sa
Externí odkaz:
http://arxiv.org/abs/2407.04135
Autor:
De Cesare, Giovanni, Fabiani, Sergio, Campana, Riccardo, Lombardi, Giovanni, Del Monte, Ettore, Costa, Enrico, Baffo, Ilaria, Bonomo, Sergio, Brienza, Daniele, Centrone, Mauro, Contini, Gessica, Cucinella, Giovanni, Curatolo, Andrea, De Angelis, Nicolas, Del Re, Andrea, Di Cosimo, Sergio, Di Filippo, Simone, Di Marco, Alessandro, Di Persio, Giuseppe, Donnarumma, Immacolata, Fanelli, Pierluigi, Leonetti, Paolo, Locarini, Alfredo, Loffredo, Pasqualino, Minervini, Gabriele, Modenini, Dario, Muleri, Fabio, Natalucci, Silvia, Negri, Andrea, Perelli, Massimo, Rossi, Monia, Rubini, Alda, Scalise, Emanuele, Soffitta, Paolo, Terracciano, Andrea, Tortora, Paolo, Zaccagnino, Emauele, Zambardi, Alessandro
The CUbesat Solar Polarimeter (CUSP) project is a CubeSat mission orbiting the Earth aimed to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter. CUSP will allow to study the magnetic r
Externí odkaz:
http://arxiv.org/abs/2407.04134
Diffusion MRI (dMRI) is an important neuroimaging technique with high acquisition costs. Deep learning approaches have been used to enhance dMRI and predict diffusion biomarkers through undersampled dMRI. To generate more comprehensive raw dMRI, gene
Externí odkaz:
http://arxiv.org/abs/2406.03002
Autor:
Wang, Jiandong, Perelli, Alessandro
Dual energy X-ray Computed Tomography (DECT) enables to automatically decompose materials in clinical images without the manual segmentation using the dependency of the X-ray linear attenuation with energy. In this work we propose a deep learning pro
Externí odkaz:
http://arxiv.org/abs/2406.00479