Zobrazeno 1 - 10
of 1 527
pro vyhledávání: '"Lascialfari, A"'
Autor:
Romeo, Mattia, Gagliardo, Cesare, Collura, Giorgio, Bruno, Eleonora, D'Oca, Maria Cristina, Midiri, Massimo, Lizzi, Francesca, Postuma, Ian, Lascialfari, Alessandro, Retico, Alessandra, Marrale, Maurizio
In the last years there has been a growing interest in the applications of diffusion tractography for target identification in neurofunctional disorders for an increasingly tailored approach. The growing diffusion of well-established neurosurgical pr
Externí odkaz:
http://arxiv.org/abs/2312.15462
Autor:
Chandra Bortolotto, Alessandra Pinto, Francesca Brero, Gaia Messana, Raffaella Fiamma Cabini, Ian Postuma, Agnese Robustelli Test, Giulia Maria Stella, Giulia Galli, Manuel Mariani, Silvia Figini, Alessandro Lascialfari, Andrea Riccardo Filippi, Olivia Maria Bottinelli, Lorenzo Preda
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-12 (2024)
Abstract Background Radiomics is a quantitative approach that allows the extraction of mineable data from medical images. Despite the growing clinical interest, radiomics studies are affected by variability stemming from analysis choices. We aimed to
Externí odkaz:
https://doaj.org/article/a240a7672ef44ed6978ca752e647f58a
Autor:
Son, K., Park, D., Lee, C., Lascialfari, A., Yoon, S. H., Choi, K. Y., Reyes, A., Oh, J., Kim, M., Borsa, F., Scheutz, G., Yoon, Y. G., Jang, Z. H.
Parity is a ubiquitous notion in science and serves as a fundamental principle for describing a physical system. Nanometer-scale metal objects are predicted to show dramatic differences in physical properties depending on the electron-number parity.
Externí odkaz:
http://arxiv.org/abs/2211.13043
Autor:
Cabini, Raffaella Fiamma, Pichiecchio, Anna, Lascialfari, Alessandro, Figini, Silvia, Zanella, Mattia
In this work, we apply a kinetic version of a bounded confidence consensus model to biomedical segmentation problems. In the presented approach, time-dependent information on the microscopic state of each particle/pixel includes its space position an
Externí odkaz:
http://arxiv.org/abs/2211.05226
Autor:
Barzaghi, Leonardo, Brero, Francesca, Cabini, Raffaella Fiamma, Paoletti, Matteo, Monforte, Mauro, Lizzi, Francesca, Santini, Francesco, Deligianni, Xeni, Bergsland, Niels, Ravaglia, Sabrina, Cavagna, Lorenzo, Diamanti, Luca, Bonizzoni, Chiara, Lascialfari, Alessandro, Figini, Silvia, Ricci, Enzo, Postuma, Ian, Pichiecchio, Anna
Publikováno v:
In Computer Methods and Programs in Biomedicine November 2024 256
Autor:
Lizzi, Francesca, Agosti, Abramo, Brero, Francesca, Cabini, Raffaella Fiamma, Fantacci, Maria Evelina, Figini, Silvia, Lascialfari, Alessandro, Laruina, Francesco, Oliva, Piernicola, Piffer, Stefano, Postuma, Ian, Rinaldi, Lisa, Talamonti, Cinzia, Retico, Alessandra
The automatic assignment of a severity score to the CT scans of patients affected by COVID-19 pneumonia could reduce the workload in radiology departments. This study aims at exploiting Artificial intelligence (AI) for the identification, segmentatio
Externí odkaz:
http://arxiv.org/abs/2105.02566
Autor:
Garlatti, E., Allodi, G., Bordignon, S., Bordonali, L., Timco, G. A., Winpenny, R. E. P., Lascialfari, A., De Renzi, R., Carretta, S.
Publikováno v:
J. Phys.: Condens. Matter 32, 244003 (2020)
An accurate experimental characterization of finite antiferromagnetic (AF) spin chains is crucial for controlling and manipulating their magnetic properties and quantum states for potential applications in spintronics or quantum computation. In parti
Externí odkaz:
http://arxiv.org/abs/2101.07193
Autor:
Bianchini, Linda, Santinha, Joao, Loução, Nuno, Figueiredo, Mario, Botta, Francesca, Origgi, Daniela, Cremonesi, Marta, Cassano, Enrico, Papanikolaou, Nikolaos, Lascialfari, Alessandro
In this study we investigated the repeatability and reproducibility of radiomic features extracted from MRI images and provide a workflow to identify robust features. 2D and 3D T$_2$-weighted images of a pelvic phantom were acquired on three scanners
Externí odkaz:
http://arxiv.org/abs/2005.06833
Autor:
Camilla Scapicchio, Andrea Chincarini, Elena Ballante, Luca Berta, Eleonora Bicci, Chandra Bortolotto, Francesca Brero, Raffaella Fiamma Cabini, Giuseppe Cristofalo, Salvatore Claudio Fanni, Maria Evelina Fantacci, Silvia Figini, Massimo Galia, Pietro Gemma, Emanuele Grassedonio, Alessandro Lascialfari, Cristina Lenardi, Alice Lionetti, Francesca Lizzi, Maurizio Marrale, Massimo Midiri, Cosimo Nardi, Piernicola Oliva, Noemi Perillo, Ian Postuma, Lorenzo Preda, Vieri Rastrelli, Francesco Rizzetto, Nicola Spina, Cinzia Talamonti, Alberto Torresin, Angelo Vanzulli, Federica Volpi, Emanuele Neri, Alessandra Retico
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-14 (2023)
Abstract Background The role of computed tomography (CT) in the diagnosis and characterization of coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We evaluated the performance of a software for quantitative analysis of chest
Externí odkaz:
https://doaj.org/article/c7bf35ba3d4644329a58313bbc82b18a
Publikováno v:
In Theriogenology August 2023 206:71-77