Výsledky vyhledávání - "Daniele Loiacono"

Akademický článek

Machine learning and lean six sigma for targeted patient-specific quality assurance of volumetric modulated arc therapy plans

Autor: Nicola Lambri, Damiano Dei, Giulia Goretti, Leonardo Crespi, Ricardo Coimbra Brioso, Marco Pelizzoli, Sara Parabicoli, Andrea Bresolin, Pasqualina Gallo, Francesco La Fauci, Francesca Lobefalo, Lucia Paganini, Giacomo Reggiori, Daniele Loiacono, Ciro Franzese, Stefano Tomatis, Marta Scorsetti, Pietro Mancosu

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100617- (2024)

Background and purpose: Radiotherapy plans with excessive complexity exhibit higher uncertainties and worse patient-specific quality assurance (PSQA) results, while the workload of measurement-based PSQA can impact the efficiency of the radiotherapy

Externí odkaz: https://doaj.org/article/bfcd3f18cd144c96825d9b48a526a5a7

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Akademický článek

Impact of the Extremities Positioning on the Set-Up Reproducibility for the Total Marrow Irradiation Treatment

Autor: Nicola Lambri, Simone Leopoldo Antonetti, Damiano Dei, Luisa Bellu, Stefania Bramanti, Ricardo Coimbra Brioso, Carmelo Carlo-Stella, Isabella Castiglioni, Elena Clerici, Leonardo Crespi, Chiara De Philippis, Carmela Galdieri, Daniele Loiacono, Pierina Navarria, Giacomo Reggiori, Roberto Rusconi, Stefano Tomatis, Marta Scorsetti, Pietro Mancosu

Publikováno v: Current Oncology, Vol 30, Iss 4, Pp 4067-4077 (2023)

Total marrow (lymph node) irradiation (TMI/TMLI) delivery requires more time than standard radiotherapy treatments. The patient’s extremities, through the joints, can experience large movements. The reproducibility of TMI/TMLI patients’ extremiti

Externí odkaz: https://doaj.org/article/b12a1c17184746d1956200b9889f1b83

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Akademický článek

An Educational Experience to Raise Awareness About Space Debris

Autor: Camilla Colombo, Nicoletta Di Blas, Ioannis Gkolias, Pier Luca Lanzi, Daniele Loiacono, Erica Stella

Publikováno v: IEEE Access, Vol 8, Pp 85162-85178 (2020)

Space debris represents a threat to space missions and operational satellites. Failing to control its growth might lead to the inability to use near-Earth space. However, this issue is still largely unknown to most people. In this paper, we present a

Externí odkaz: https://doaj.org/article/d3d2121486594119b6ea1a6ba5188431

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Akademický článek

Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs

Autor: Noemi Gozzi, Edoardo Giacomello, Martina Sollini, Margarita Kirienko, Angela Ammirabile, Pierluca Lanzi, Daniele Loiacono, Arturo Chiti

Publikováno v: Diagnostics, Vol 12, Iss 9, p 2084 (2022)

To identify the best transfer learning approach for the identification of the most frequent abnormalities on chest radiographs (CXRs), we used embeddings extracted from pretrained convolutional neural networks (CNNs). An explainable AI (XAI) model wa

Externí odkaz: https://doaj.org/article/ab1abe57babe468b9ac1fde6ff2a73dc

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Automatic planning of the lower extremities for total marrow irradiation using volumetric modulated arc therapy

Autor: Nicola Lambri, Damiano Dei, Victor Hernandez, Isabella Castiglioni, Elena Clerici, Leonardo Crespi, Chiara De Philippis, Daniele Loiacono, Pierina Navarria, Giacomo Reggiori, Roberto Rusconi, Stefano Tomatis, Stefania Bramanti, Marta Scorsetti, Pietro Mancosu

Publikováno v: Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].

Purpose Total marrow (and lymphoid) irradiation (TMI-TMLI) is limited by the couch travel range of modern linacs, which forces the treatment delivery to be split into two plans with opposite orientations: a head-first supine upper-body plan, and a fe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a99f3225465a2c11372b6b10e5c83d
https://pubmed.ncbi.nlm.nih.gov/36326856

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