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pro vyhledávání: '"Proietto, A"'
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:
Saada, Thiziri Nait, Di Proietto, Valentina, Schmauch, Benoit, Von Loga, Katharina, Fidon, Lucas
Multiple Instance Learning (MIL) models have proven effective for cancer prognosis from Whole Slide Images. However, the original MIL formulation incorrectly assumes the patches of the same image to be independent, leading to a loss of spatial contex
Externí odkaz:
http://arxiv.org/abs/2408.00427
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
Publikováno v:
J. Opt. Soc. Am. B 41, 127-133 (2024)
Nanometer-thick quantum-well structures are quantum model systems offering a few discrete unoccupied energy states that can be impulsively filled and that relax back to equilibrium predominantly via spontaneous emission of light. Here we report on th
Externí odkaz:
http://arxiv.org/abs/2311.14500
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:
Waller, Amy, Forshaw, Kristy, Carey, Mariko, Robinson, Sancha, Kerridge, Ross, Proietto, Anthony, Sanson-Fisher, Rob
Publikováno v:
JMIR Medical Informatics, Vol 3, Iss 3, p e29 (2015)
With population growth and aging, it is expected that the demand for surgical services will increase. However, increased complexity of procedures, time pressures on staff, and the demand for a patient-centered approach continue to challenge a system
Externí odkaz:
https://doaj.org/article/6c6a36fc70e54d11801025503f429e1b
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:
Lops, Diego, Palazzolo, Antonino, Calza, Stefano, Proietto, Luca, Sordillo, Annamaria, Mensi, Magda, Romeo, Eugenio
Publikováno v:
In Journal of Dentistry October 2024 149