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Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness.
Bezzi C, Bergamini A, Mathoux G, Ghezzo S, Monaco L, Candotti G, Fallanca F, Gajate AMS, Rabaiotti E, Cioffi R, Bocciolone L, Gianolli L, Taccagni G, Candiani M, Mangili G, Mapelli P, Picchio M. Bezzi C, et al. Among authors: fallanca f. Cancers (Basel). 2023 Jan 3;15(1):325. doi: 10.3390/cancers15010325. Cancers (Basel). 2023. PMID: 36612321 Free PMC article.
Unusual presentation of sarcoid-like reaction on bone marrow level associated with mediastinal lymphadenopathy on (18)F-FDG-PET/CT resembling an early recurrence of Hodgkin's Lymphoma.
Fallanca F, Picchio M, Crivellaro C, Mapelli P, Samanes Gajate AM, Sabattini E, Gianolli L, Messa C. Fallanca F, et al. Rev Esp Med Nucl Imagen Mol. 2012 Jul-Aug;31(4):207-9. doi: 10.1016/j.remn.2012.03.002. Epub 2012 Apr 26. Rev Esp Med Nucl Imagen Mol. 2012. PMID: 22980128
Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting.
Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, Panzacchi A, Nobili F, Pappatà S, Marcone A, Garibotto V, Castiglioni I, Magnani G, Cappa SF, Gianolli L; EADC-PET Consortium. Perani D, et al. Among authors: fallanca f. Neuroimage Clin. 2014 Oct 24;6:445-54. doi: 10.1016/j.nicl.2014.10.009. eCollection 2014. Neuroimage Clin. 2014. PMID: 25389519 Free PMC article.
59 results