Zobrazeno 1 - 10
of 343
pro vyhledávání: '"Luca, Mainardi"'
Publikováno v:
Computer Assisted Surgery, Vol 29, Iss 1 (2024)
AbstractRadiotherapy commonly utilizes cone beam computed tomography (CBCT) for patient positioning and treatment monitoring. CBCT is deemed to be secure for patients, making it suitable for the delivery of fractional doses. However, limitations such
Externí odkaz:
https://doaj.org/article/908e7d5e865e4100892716bc5f6fe802
Autor:
Anna Corti, Stefano Cavalieri, Giuseppina Calareso, Davide Mattavelli, Marco Ravanelli, Tito Poli, Lisa Licitra, Valentina D. A. Corino, Luca Mainardi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The clinical applicability of radiomics in oncology depends on its transferability to real-world settings. However, the absence of standardized radiomics pipelines combined with methodological variability and insufficient reporting may hampe
Externí odkaz:
https://doaj.org/article/7c52f0e8a5ff4752a75df55bcb9199f2
Publikováno v:
IEEE Access, Vol 12, Pp 129804-129812 (2024)
Effectively preventing and diagnosing laryngeal cancer is imperative for improving prognosis, particularly in high-risk populations. Early diagnosis in these individuals is crucial, offering timely interventions and higher survival rates. There is a
Externí odkaz:
https://doaj.org/article/2e162e0e4edb4aaaa23c2cfbbe3df56a
Autor:
Andrea Moglia, Luca Marsilio, Matteo Rossi, Maria Pinelli, Emanuele Lettieri, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 279-290 (2024)
Objective: Recent advancements in augmented reality led to planning and navigation systems for orthopedic surgery. However little is known about mixed reality (MR) in orthopedics. Furthermore, artificial intelligence (AI) has the potential to boost t
Externí odkaz:
https://doaj.org/article/2f10d4ef93a14b1d9a6e83f18bd51d55
Autor:
Edoardo M. Polo, Andrea Farabbi, Maximiliano Mollura, Alessia Paglialonga, Luca Mainardi, Riccardo Barbieri
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 171-181 (2024)
The study of emotions through the analysis of the induced physiological responses gained increasing interest in the past decades. Emotion-related studies usually employ films or video clips, but these stimuli do not give the possibility to properly s
Externí odkaz:
https://doaj.org/article/21e5dda7713b4fc4a8cea3815803904c
Autor:
Andrea Bianconi, Luca Francesco Rossi, Marta Bonada, Pietro Zeppa, Elsa Nico, Raffaele De Marco, Paola Lacroce, Fabio Cofano, Francesco Bruno, Giovanni Morana, Antonio Melcarne, Roberta Ruda, Luca Mainardi, Pietro Fiaschi, Diego Garbossa, Lia Morra
Publikováno v:
Brain Informatics, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Objective Clinical and surgical decisions for glioblastoma patients depend on a tumor imaging-based evaluation. Artificial Intelligence (AI) can be applied to magnetic resonance imaging (MRI) assessment to support clinical practice, surgery
Externí odkaz:
https://doaj.org/article/16245372812140f3b928a5b232c43bf2
Autor:
Anna Corti, Loris De Cecco, Stefano Cavalieri, Deborah Lenoci, Federico Pistore, Giuseppina Calareso, Davide Mattavelli, Pim de Graaf, C. René Leemans, Ruud H. Brakenhoff, Marco Ravanelli, Tito Poli, Lisa Licitra, Valentina Corino, Luca Mainardi
Publikováno v:
Biomarker Research, Vol 11, Iss 1, Pp 1-14 (2023)
Abstract Background . At present, the prognostic prediction in advanced oral cavity squamous cell carcinoma (OCSCC) is based on the tumor-node-metastasis (TNM) staging system, and the most used imaging modality in these patients is magnetic resonance
Externí odkaz:
https://doaj.org/article/70e9ed0a5e974d13933a26dc8dbdbbf4
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2024)
Emotions significantly shape decision-making, and targeted emotional elicitations represent an important factor in neuromarketing, where they impact advertising effectiveness by capturing potential customers' attention intricately associated with emo
Externí odkaz:
https://doaj.org/article/74a7f4ad4e15410f873c86d1706cc93b
Autor:
Jiaying Liu, Anna Corti, Giuseppina Calareso, Gaia Spadarella, Lisa Licitra, Valentina D.A. Corino, Luca Mainardi
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24377- (2024)
This study aimed to develop a robust multiclassification pipeline to determine the primary tumor location in patients with head and neck carcinoma of unknown primary using radiomics and machine learning techniques. The dataset included 400 head and n
Externí odkaz:
https://doaj.org/article/782b3341c45746b5ae199e482d0161bb
Autor:
Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Massimo W. Rivolta, Cees A. Swenne, Luca Mainardi, Laura Burattini, Roberto Sassi
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 817 (2024)
COVID-19 is an infectious disease that has greatly affected worldwide healthcare systems, due to the high number of cases and deaths. As COVID-19 patients may develop cardiac comorbidities that can be potentially fatal, electrocardiographic monitorin
Externí odkaz:
https://doaj.org/article/6fd74079ad8f4f508744536a66637250