Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Salanitri, Federica Proietto"'
Assessing the severity of stenoses in coronary angiography is critical to the patient's health, as coronary stenosis is an underlying factor in heart failure. Current practice for grading coronary lesions, i.e. fractional flow reserve (FFR) or instan
Externí odkaz:
http://arxiv.org/abs/2409.14268
Autor:
Bellitto, Giovanni, Salanitri, Federica Proietto, Pennisi, Matteo, Boschini, Matteo, Porrello, Angelo, Calderara, Simone, Palazzo, Simone, Spampinato, Concetto
We present SAM, a biologically-plausible selective attention-driven modulation approach to enhance classification models in a continual learning setting. Inspired by neurophysiological evidence that the primary visual cortex does not contribute to ob
Externí odkaz:
http://arxiv.org/abs/2403.20086
Autor:
Pennisi, Matteo, Salanitri, Federica Proietto, Bellitto, Giovanni, Palazzo, Simone, Bagci, Ulas, Spampinato, Concetto
Generative Adversarial Networks (GANs) have demonstrated their ability to generate synthetic samples that match a target distribution. However, from a privacy perspective, using GANs as a proxy for data sharing is not a safe solution, as they tend to
Externí odkaz:
http://arxiv.org/abs/2307.02984
Autor:
Hu, Feiyan, Palazzo, Simone, Salanitri, Federica Proietto, Bellitto, Giovanni, Moradi, Morteza, Spampinato, Concetto, McGuinness, Kevin
Video saliency prediction has recently attracted attention of the research community, as it is an upstream task for several practical applications. However, current solutions are particularly computationally demanding, especially due to the wide usag
Externí odkaz:
http://arxiv.org/abs/2301.04619
Autor:
Salanitri, Federica Proietto, Bellitto, Giovanni, Palazzo, Simone, Irmakci, Ismail, Wallace, Michael B., Bolan, Candice W., Engels, Megan, Hoogenboom, Sanne, Aldinucci, Marco, Bagci, Ulas, Giordano, Daniela, Spampinato, Concetto
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also nec
Externí odkaz:
http://arxiv.org/abs/2206.10531
Autor:
Pennisi, Matteo, Salanitri, Federica Proietto, Bellitto, Giovanni, Casella, Bruno, Aldinucci, Marco, Palazzo, Simone, Spampinato, Concetto
In the medical field, multi-center collaborations are often sought to yield more generalizable findings by leveraging the heterogeneity of patient and clinical data. However, recent privacy regulations hinder the possibility to share data, and conseq
Externí odkaz:
http://arxiv.org/abs/2206.10048
Autor:
Salanitri, Federica Proietto, Bellitto, Giovanni, Irmakci, Ismail, Palazzo, Simone, Bagci, Ulas, Spampinato, Concetto
We propose a novel 3D fully convolutional deep network for automated pancreas segmentation from both MRI and CT scans. More specifically, the proposed model consists of a 3D encoder that learns to extract volume features at different scales; features
Externí odkaz:
http://arxiv.org/abs/2109.01667
Autor:
Bellitto, Giovanni, Salanitri, Federica Proietto, Palazzo, Simone, Rundo, Francesco, Giordano, Daniela, Spampinato, Concetto
In this work, we propose a 3D fully convolutional architecture for video saliency prediction that employs hierarchical supervision on intermediate maps (referred to as conspicuity maps) generated using features extracted at different abstraction leve
Externí odkaz:
http://arxiv.org/abs/2010.01220
Autor:
Pennisi, Matteo, Kavasidis, Isaak, Spampinato, Concetto, Schinina, Vincenzo, Palazzo, Simone, Salanitri, Federica Proietto, Bellitto, Giovanni, Rundo, Francesco, Aldinucci, Marco, Cristofaro, Massimo, Campioni, Paolo, Pianura, Elisa, Di Stefano, Federica, Petrone, Ada, Albarello, Fabrizio, Ippolito, Giuseppe, Cuzzocrea, Salvatore, Conoci, Sabrina
Publikováno v:
In Artificial Intelligence In Medicine August 2021 118
Akademický článek
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