Zobrazeno 1 - 10
of 936
pro vyhledávání: '"Mancosu P"'
Autor:
Brioso, Ricardo Coimbra, Dei, Damiano, Lambri, Nicola, Mancosu, Pietro, Scorsetti, Marta, Loiacono, Daniele
Radiotherapy requires precise segmentation of organs at risk (OARs) and of the Clinical Target Volume (CTV) to maximize treatment efficacy and minimize toxicity. While deep learning (DL) has significantly advanced automatic contouring, complex target
Externí odkaz:
http://arxiv.org/abs/2409.15888
Autor:
Crespi, Leonardo, Camnasio, Samuele, Dei, Damiano, Lambri, Nicola, Mancosu, Pietro, Scorsetti, Marta, Loiacono, Daniele
In many clinical settings, the use of both Computed Tomography (CT) and Magnetic Resonance (MRI) is necessary to pursue a thorough understanding of the patient's anatomy and to plan a suitable therapeutical strategy; this is often the case in MRI-bas
Externí odkaz:
http://arxiv.org/abs/2407.10888
Autor:
Brioso, Ricardo Coimbra, Dei, Damiano, Lambri, Nicola, Loiacono, Daniele, Mancosu, Pietro, Scorsetti, Marta
In order to optimize the radiotherapy delivery for cancer treatment, especially when dealing with complex treatments such as Total Marrow and Lymph Node Irradiation (TMLI), the accurate contouring of the Planning Target Volume (PTV) is crucial. Unfor
Externí odkaz:
http://arxiv.org/abs/2402.06494
Autor:
Brioso, Ricardo Coimbra, Dei, Damiano, Franzese, Ciro, Lambri, Nicola, Loiacono, Daniele, Mancosu, Pietro, Scorsetti, Marta
Radiotherapy (RT) is a key component in the treatment of various cancers, including Acute Lymphocytic Leukemia (ALL) and Acute Myelogenous Leukemia (AML). Precise delineation of organs at risk (OARs) and target areas is essential for effective treatm
Externí odkaz:
http://arxiv.org/abs/2304.02353
Autor:
Crespi, Leonardo, Roncaglioni, Paolo, Dei, Damiano, Franzese, Ciro, Lambri, Nicola, Loiacono, Daniele, Mancosu, Pietro, Scorsetti, Marta
In the medical images field, semantic segmentation is one of the most important, yet difficult and time-consuming tasks to be performed by physicians. Thanks to the recent advancement in the Deep Learning models regarding Computer Vision, the promise
Externí odkaz:
http://arxiv.org/abs/2303.17956
Autor:
Gianmarco MANCOSU
Publikováno v:
Diacronie. Studi di Storia Contemporanea, Vol 16, Iss 2, Pp 167-171 (2024)
Externí odkaz:
https://doaj.org/article/3cc01dc55fb1444d8e2a6e0cbe5ee894
Autor:
Mancosu, Paolo, Zach, Richard
Several letters by Kurt G\"odel and Johann (J\'anos) von Neumann from the (so far uncatalogued) archive of Abraham (Adolf) Fraenkel at the National Library of Israel are published and discussed. These include two fragments by G\"odel of special inter
Externí odkaz:
http://arxiv.org/abs/2301.09814
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
Autor:
Franceschini, D., Teriaca, M.A., Mancosu, P., Bertolini, A., Lo Faro, L., Spoto, R., Dominici, L., Badalamenti, M., Bellu, L., Dei, D., La Fauci, F., Franzese, C., Scorsetti, M.
Publikováno v:
In Radiotherapy and Oncology August 2024 197
Autor:
Franceschini, D., Franzese, C., Comito, T., Ilieva, M.B., Spoto, R., Marzo, A.M., Dominici, L., Massaro, M., Bellu, L., Badalamenti, M., Mancosu, P., Scorsetti, M.
Publikováno v:
In Radiotherapy and Oncology June 2024 195