Sfoglia per Autore
Quantitative depth-based [18F]FMCH-avid lesion profiling in prostate cancer treatment
2021-01-01 Cavinato, Lara; Ragni, Alessandra; Ieva, Francesca; Sollini, Martina; Bartoli, Francesco; Erba, Paola Anna
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer
2021-01-01 Sollini, Martina; Bartoli, Francesco; Cavinato, Lara; Ieva, Francesca; Ragni, Alessandra; Marciano, Andrea; Zanca, Roberta; Galli, Luca; Paiar, Fabiola; Pasqualetti, Francesco; Erba, Paola Anna
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations
2022-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance
2022-01-01 Cavinato, L.; Pegoraro, M.; Ragni, A.; Sollini, M.; Erba, P. A.; Ieva, F.
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels
2023-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
Radiomics-Based Inter-Lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer
2023-01-01 Cavinato, L.; Sollini, M.; Ragni, A.; Bartoli, F.; Zanca, R.; Pasqualetti, F.; Marciano, A.; Ieva, F.; Erba, P. A.
Analysis of Higher Education Dropouts Dynamics Through Functional Decomposition of Recurrent Events on Time-to-Event Processes
2024-01-01 Ragni, A.; Masci, C.; Paganoni, A. M.
Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques
2024-01-01 Ragni, A.; Ippolito, D.; Masci, C.
A Statistical Significance-Based Approach for Clustering Grouped Data via Generalized Linear Model with Discrete Random Effects
2025-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
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