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of 1 007
pro vyhledávání: '"Ortis A"'
Autor:
Bonaccorso A, Ortis A, Musumeci T, Carbone C, Hussain M, Di Salvatore V, Battiato S, Pappalardo F, Pignatello R
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 5619-5636 (2024)
Angela Bonaccorso,1,2,* Alessandro Ortis,3,* Teresa Musumeci,1,2 Claudia Carbone,1,2 Mazhar Hussain,3 Valentina Di Salvatore,1 Sebastiano Battiato,3 Francesco Pappalardo,1,2 Rosario Pignatello1,2 1Department of Drug and Health Sciences, Unive
Externí odkaz:
https://doaj.org/article/a52f2cc7501d48a9937c0615995deb65
Autor:
Amerini, Irene, Barni, Mauro, Battiato, Sebastiano, Bestagini, Paolo, Boato, Giulia, Bonaventura, Tania Sari, Bruni, Vittoria, Caldelli, Roberto, De Natale, Francesco, De Nicola, Rocco, Guarnera, Luca, Mandelli, Sara, Marcialis, Gian Luca, Micheletto, Marco, Montibeller, Andrea, Orru', Giulia, Ortis, Alessandro, Perazzo, Pericle, Puglisi, Giovanni, Salvi, Davide, Tubaro, Stefano, Tonti, Claudia Melis, Villari, Massimo, Vitulano, Domenico
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and Diffusion Models (DMs) are the main frameworks used to create Deepfake
Externí odkaz:
http://arxiv.org/abs/2408.00388
The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious uses, especially in sensitive areas like medical imaging. This study i
Externí odkaz:
http://arxiv.org/abs/2401.09624
Autor:
Spata, Massimo Orazio, Battiato, Sebastiano, Ortis, Alessandro, Rundo, Francesco, Calabretta, Michele, Pino, Carmelo, Messina, Angelo
Inverse modelling with deep learning algorithms involves training deep architecture to predict device's parameters from its static behaviour. Inverse device modelling is suitable to reconstruct drifted physical parameters of devices temporally degrad
Externí odkaz:
http://arxiv.org/abs/2310.17657
Autor:
Rondinella, Alessia, Crispino, Elena, Guarnera, Francesco, Giudice, Oliver, Ortis, Alessandro, Russo, Giulia, Di Lorenzo, Clara, Maimone, Davide, Pappalardo, Francesco, Battiato, Sebastiano
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression. Although several attempts have been made to segment multiple sclerosis lesions using artificial intelligence, fully automated
Externí odkaz:
http://arxiv.org/abs/2304.10790
Autor:
Guarnera, Francesco, Rondinella, Alessia, Giudice, Oliver, Ortis, Alessandro, Battiato, Sebastiano, Rundo, Francesco, Fallica, Giorgio, Traina, Francesco, Conoci, Sabrina
Early detection of an infection prior to prosthesis removal (e.g., hips, knees or other areas) would provide significant benefits to patients. Currently, the detection task is carried out only retrospectively with a limited number of methods relying
Externí odkaz:
http://arxiv.org/abs/2304.08942
Autor:
Rondinella, Alessia, Guarnera, Francesco, Giudice, Oliver, Ortis, Alessandro, Rundo, Francesco, Battiato, Sebastiano
This paper presents our solution for the first challenge of the 3rd Covid-19 competition, which is part of the "AI-enabled Medical Image Analysis Workshop" organized by IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
Externí odkaz:
http://arxiv.org/abs/2303.08728
Autor:
Yankey, Ortis, Utazi, Chigozie E., Nnanatu, Christopher C., Gadiaga, Assane N., Abbot, Thomas, Lazar, Attila N., Tatem, Andrew J.
Publikováno v:
In Applied Geography November 2024 172
Autor:
Ortis, Morgane1 (AUTHOR) morgane.ortis@univ-cotedazur.fr, Chevalier, Marlène1 (AUTHOR) marlene.chevalier@univ-cotedazur.fr, Olivieri, Charles-Vivien1 (AUTHOR) charlesolivieri@sfr.fr, Vitale, Sébastien2 (AUTHOR) vitale.s@chu-nice.fr, Paul, Adrien1 (AUTHOR) dradrienpaul@gmail.com, Tonoyan, Lilit1 (AUTHOR) lilit.tonoyan@univ-cotedazur.fr, Doglio, Alain1,3 (AUTHOR) alain.doglio@univ-cotedazur.fr, Marsault, Robert1 (AUTHOR)
Publikováno v:
International Journal of Molecular Sciences. Aug2024, Vol. 25 Issue 15, p8466. 12p.
Publikováno v:
In Cahiers de Nutrition et de Diététique August 2024 59(4):233-242