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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. Among authors: cusumano d. Front Oncol. 2024 Mar 28;14:1294252. doi: 10.3389/fonc.2024.1294252. eCollection 2024. Front Oncol. 2024. PMID: 38606108 Free PMC article.
Integration of Functional Magnetic Resonance Imaging and Magnetoencephalography Functional Maps Into a CyberKnife Planning System: Feasibility Study for Motor Activity Localization and Dose Planning.
De Martin E, Duran D, Ghielmetti F, Visani E, Aquino D, Marchetti M, Sebastiano DR, Cusumano D, Bruzzone MG, Panzica F, Fariselli L. De Martin E, et al. Among authors: cusumano d. World Neurosurg. 2017 Dec;108:756-762. doi: 10.1016/j.wneu.2017.08.187. Epub 2017 Sep 21. World Neurosurg. 2017. PMID: 28942018
Predicting tumour motion during the whole radiotherapy treatment: a systematic approach for thoracic and abdominal lesions based on real time MR.
Cusumano D, Dhont J, Boldrini L, Chiloiro G, Teodoli S, Massaccesi M, Fionda B, Cellini F, Azario L, Vandemeulebroucke J, De Spirito M, Valentini V, Verellen D. Cusumano D, et al. Radiother Oncol. 2018 Dec;129(3):456-462. doi: 10.1016/j.radonc.2018.07.025. Epub 2018 Aug 22. Radiother Oncol. 2018. PMID: 30144955
Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach.
Boldrini L, Cusumano D, Chiloiro G, Casà C, Masciocchi C, Lenkowicz J, Cellini F, Dinapoli N, Azario L, Teodoli S, Gambacorta MA, De Spirito M, Valentini V. Boldrini L, et al. Among authors: cusumano d. Radiol Med. 2019 Feb;124(2):145-153. doi: 10.1007/s11547-018-0951-y. Epub 2018 Oct 29. Radiol Med. 2019. PMID: 30374650 Free PMC article.
90 results