Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rondinella, Alessia"'
Autor:
Rondinella, Alessia, Guarnera, Francesco, Crispino, Elena, Russo, Giulia, Di Lorenzo, Clara, Maimone, Davide, Pappalardo, Francesco, Battiato, Sebastiano
This report summarizes the outcomes of the ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation (MSLesSeg). The competition aimed to develop methods capable of automatically segmenting multiple sclerosis lesions in MRI scans. Participants
Externí odkaz:
http://arxiv.org/abs/2410.07924
Autor:
Puglisi, Lemuel, Rondinella, Alessia, De Meo, Linda, Guarnera, Francesco, Battiato, Sebastiano, Ravì, Daniele
Brain age is a critical measure that reflects the biological ageing process of the brain. The gap between brain age and chronological age, referred to as brain PAD (Predicted Age Difference), has been utilized to investigate neurodegenerative conditi
Externí odkaz:
http://arxiv.org/abs/2406.00365
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