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European Radiology Experimental|November 3, 2025
Phantom studies in medical imaging (PSMI): a guide with recommendations and checklistGisella Gennaro, Moreno Zanardo, Federico Ambrogi, et al.
Microarrays (Basel, Switzerland)|September 8, 2016
Assessing Agreement between miRNA Microarray PlatformsNiccolò P Bassani, Federico Ambrogi, Elia M Biganzoli
Tumori|October 10, 2014
Is breast cancer curable: a study of long-term crude cumulative incidenceFederico Ambrogi, Letizia Trevisi, Gabriele Martelli, et al.
Carcinogenesis|June 20, 2020
Adipokines expression and epithelial cell polarity in normal and cancerous breast tissueDanila Coradini, Simone Gambazza, Saro Oriana, et al.
BMC Bioinformatics|August 2, 2018
Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinomaMarco Fornili, Patrizia Boracchi, Federico Ambrogi, et al.
Lifetime Data Analysis|September 13, 2012
Competing risks with missing covariates: effect of haplotypematch on hematopoietic cell transplant patientsThomas H Scheike, Martin J Maiers, Vanderson Rocha, et al.
Biostatistics (Oxford, England)|January 9, 2018
Modeling the cumulative incidence function of multivariate competing risks data allowing for within-cluster dependence of risk and timingLuise Cederkvist, Klaus K Holst, Klaus K Andersen, et al.
Biometrika|April 25, 2013
A semiparametric random effects model for multivariate competing risks dataThomas H Scheike, Yanqing Sun, Mei-Jie Zhang, et al.
Artificial Intelligence in Medicine|May 30, 2006
Artificial neural network for the joint modelling of discrete cause-specific hazardsElia M Biganzoli, Patrizia Boracchi, Federico Ambrogi, et al.
International Journal of Surgical Oncology|May 12, 2012
Cell polarity, epithelial-mesenchymal transition, and cell-fate decision gene expression in ductal carcinoma in situDanila Coradini, Patrizia Boracchi, Federico Ambrogi, et al.
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