Genetic and phenotypic attributes of splenic marginal zone lymphomaFerdinando Bonfiglio, Estella Matutes, Alessio Bruscaggin et al.|Blood|2021Cited by 96
An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patientsMaria C. Ferrández, Ronald Boellaard, Christine Hanoun et al.|Scientific Reports|2023Cited by 34
Postoperative thyroglobulin as a yard-stick for radioiodine therapy: decision tree analysis in a European multicenter series of 1317 patients with differentiated thyroid cancerLuca Giovanella, Rainer Görges, Lisa Milan et al.|European Journal of Nuclear Medicine and Molecular Imaging|2023Cited by 16
GENETIC AND PHENOTYPIC ATTRIBUTES OF SPLENIC MARGINAL ZONE LYMPHOMAFerdinando Bonfiglio, Michele Merli, Alessio Bruscaggin et al.|Hematological Oncology|2021Cited by 13
Integration of Baseline Metabolic Parameters and Mutational Profiles Predicts Long-Term Response to First-Line Therapy in DLBCL Patients: A Post Hoc Analysis of the SAKK38/07 StudySofia Genta, Luca Ceriani, Guido Ghilardi et al.|Cancers|2022Cited by 13