IEVA, FRANCESCA
[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
A Bayesian random effects model for survival probabilities after acute myocardial infarction
2012-01-01 Guglielmi, Alessandra; Ieva, Francesca; Paganoni, ANNA MARIA; F., Ruggeri
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
2022-01-01 Cappozzo, Andrea; Mccrory, Cathal; Robinson, Oliver; Freni Sterrantino, Anna; Sacerdote, Carlotta; Krogh, Vittorio; Panico, Salvatore; Tumino, Rosario; Iacoviello, Licia; Ricceri, Fulvio; Sieri, Sabina; Chiodini, Paolo; Mckay, Gareth J.; Mcknight, Amy Jayne; Kee, Frank; Young, Ian S.; Mcguinness, Bernadette; Crimmins, Eileen M.; Arpawong, Thalida Em; Kenny, Rose Anne; O’Halloran, Aisling; Polidoro, Silvia; Solinas, Giuliana; Vineis, Paolo; Ieva, Francesca; Fiorito, Giovanni
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort
2020-01-01 Massi, MICHELA CARLOTTA; Gasperoni, Francesca; Ieva, Francesca; Paganoni, ANNA MARIA; Zunino, Paolo; Manzoni, Andrea; Franco, NICOLA RARES; Veldeman, Liv; Ost, Piet; Fonteyne, Val('(e))rie; Talbot, Christopher J.; Rattay, Tim; Webb, Adam; Symonds, Paul R.; Johnson, Kerstie; Lambrecht, Maarten; Haustermans, Karin; De Meerleer, Gert; de Ruysscher, Dirk; Vanneste, Ben; Van Limbergen, Evert; Choudhury, Ananya; Elliott, Rebecca M.; Sperk, Elena; Herskind, Carsten; Veldwijk, Marlon R.; Avuzzi, Barbara; Giandini, Tommaso; Valdagni, Riccardo; Cicchetti, Alessandro; Azria, David; Farcy Jacquet, Marie-Pierre; Rosenstein, Barry S.; Stock, Richard G.; Collado, Kayla; Vega, Ana; El('(i))as Aguado-Barrera, Miguel; Calvo, Patricia; Dunning, Alison M.; Fachal, Laura; Kerns, Sarah L.; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; West, Catharine M. L.; Rancati, Tiziana
A deep learning representation of common genetic variants improves the prediction of coronary artery disease beyond polygenic risk scores
2025-01-01 Vergani, Andrea Mario; Lampis, Andrea; Massi, Michela Carlotta; Masseroli, Marco; Ieva, Francesca; Di Angelantonio, Emanuele
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis
2022-01-01 Massi, Michela Carlotta; Dominoni, Lorenzo; Ieva, Francesca; Fiorito, Giovanni
A functional approach to study the relationship between dynamic covariates and survival outcomes: an application to a randomized clinical trial on osteosarcoma
2020-01-01 Spreafico, M.; Ieva, F.; Fiocco, M.
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment
2021-01-01 Clementi, Letizia; Gregorio, Caterina; Savare, Laura; Ieva, Francesca; Santambrogio, M. D.; Sangalli, L. M.
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
2023-01-01 Cappozzo, Andrea; Ieva, Francesca; Fiorito, Giovanni
A generative machine learning approach to generate genotypes and phenotypes for privacy-preserving sharing of polygenic risk prediction data
2025-01-01 Lampis, Andrea; Massi, Michela; Pirastu, Nicola; Vergani, Andrea Mario; Matteucci, Matteo; Ieva, Francesca; Di Angelantonio, Emanuele
A hierarchical random-effects model for survival in patients with Acute Myocardial Infarction
2010-01-01 Guglielmi, Alessandra; Ieva, Francesca; Paganoni, ANNA MARIA; F., Ruggeri
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
2019-01-01 Martino, Andrea; Ghiglietti, Andrea; Ieva, Francesca; Paganoni, Anna Maria
A multi-state approach to patients affected by chronic heart failure
2018-01-01 Grossetti, Francesco; Ieva, Francesca; Paganoni, ANNA MARIA
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases
2022-01-01 Corso, F.; Lurani Cernuschi, A.; Galli, L.; Masci, C.; Muccini, C.; Paganoni, A. M.; Ieva, F.
A neural-network approach for predicting time to cardiovascular diseases in HIV patients based on real-world data
2025-01-01 Cernuschi, Agostino Lurani; Masci, Chiara; Corso, Federica; Muccini, Camilla; Ceccarelli, Daniele; Galli, Laura; Ieva, Francesca; Castagna, Antonella; Paganoni, Anna Maria
A new robust statistical model for interpretation of differences in serial test results from an individual
2015-01-01 F., Braga; S., Ferraro; Ieva, Francesca; Paganoni, ANNA MARIA; M., Panteghini
A new unsupervised classification algorithm for nonlinear non parametric mixed effects models
2011-01-01 Azzimonti, Laura; Ieva, Francesca; Paganoni, ANNA MARIA
A new unsupervised classification technique through nonlinear non parametric mixed effects models
2013-01-01 Azzimonti, Laura; Ieva, Francesca; Paganoni, ANNA MARIA
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals
2024-01-01 Torri, Vittorio; Ercolanoni, Michele; Bortolan, Francesco; Leoni, Olivia; Ieva, Francesca
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.