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Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs' auto-segmentation and visual grading assessment.
Vagni M, Tran HE, Catucci F, Chiloiro G, D'Aviero A, Re A, Romano A, Boldrini L, Kawula M, Lombardo E, Kurz C, Landry G, Belka C, Indovina L, Gambacorta MA, Cusumano D, Placidi L. Vagni M, et al. Front Oncol. 2024 Mar 28;14:1294252. doi: 10.3389/fonc.2024.1294252. eCollection 2024. Front Oncol. 2024. PMID: 38606108 Free PMC article.
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases.
Lenkowicz J, Votta C, Nardini M, Quaranta F, Catucci F, Boldrini L, Vagni M, Menna S, Placidi L, Romano A, Chiloiro G, Gambacorta MA, Mattiucci GC, Indovina L, Valentini V, Cusumano D. Lenkowicz J, et al. Among authors: vagni m. Radiother Oncol. 2022 Nov;176:31-38. doi: 10.1016/j.radonc.2022.08.028. Epub 2022 Sep 5. Radiother Oncol. 2022. PMID: 36063982
Evaluation of clinical parallel workflow in online adaptive MR-guided Radiotherapy: A detailed assessment of treatment session times.
Votta C, Iacovone S, Turco G, Carrozzo V, Vagni M, Scalia A, Chiloiro G, Meffe G, Nardini M, Panza G, Placidi L, Romano A, Cornacchione P, Gambacorta MA, Boldrini L. Votta C, et al. Among authors: vagni m. Tech Innov Patient Support Radiat Oncol. 2024 Feb 13;29:100239. doi: 10.1016/j.tipsro.2024.100239. eCollection 2024 Mar. Tech Innov Patient Support Radiat Oncol. 2024. PMID: 38405058 Free PMC article.
22 results