30/2024 - Gregorio, C.; Rea, F.; Ieva, F.; Scagnetto, A.; Indennidade, C.; Cappelletto, C.; Di Lenarda, A.; Barbati, G.
Flexible approaches based on multi-state models and microsimulation to perform real-world cost-effectiveness analyses: an application to PCSK9-inhibitors
16/2024 - Domanin D. A.; Pegoraro M.; Trimarchi S.; Domanin M.; Secchi P.
Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms
106/2023 - Fontana, N.; Savaré, L.; Ieva, F.
Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients
90/2023 - Gregorio, C.; Baj, G.; Barbati, G.; Ieva, F.
Dynamic treatment effect phenotyping through functional survival analysis
89/2023 - Savaré, L.; Ieva, F.; Corrao, G.; Lora, A.
Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis
88/2023 - Masci, C.; Spreafico, M.; Ieva, F.
Joint modelling of recurrent and terminal events with discretely-distributed non-parametric frailty: application on re-hospitalizations and death in heart failure patients
83/2023 - Cavinato, L.; Massi, M.C.; Sollini, M.; Kirienko , M.; Ieva, F.
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data
76/2023 - Ieva, F.; Galliani, G.; Secchi, P.
The impact of public transport on the diffusion of COVID-19 pandemie in Lombardy during 2020
75/2023 - Archetti, A.; Ieva, F.; Matteucci, M.
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics
53/2023 - Rossi, A.; Cappozzo, A.; Ieva, F.
Functional Boxplot Inflation Factor adjustment through Robust Covariance Estimators
49/2023 - Ieva, F.; Ronzulli, M.; Romo, J.; Paganoni, A.M.
A Spearman Dependence Matrix for Multivariate Functional Data
44/2023 - Fontana, N.; Savaré, L.; Rea, F.; Di Angelantonio, E.; Ieva, F.
Long-term adherence to polytherapy in heart failure patients: a novel approach emphasising the importance of secondary prevention
24/2023 - Costa, G.; Cavinato, L.; Fiz, F.; Sollini, M.; Chiti, A.; Torzilli, G.; Ieva, F.; Viganò, L.
Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible
21/2023 - Cavinato, L.; Sollini, M.; Ragni, A.; Bartoli, F.; Zanca, R.; Pasqualetti, F.; Marciano, A.; Ieva, F.; and Erba, A.P.
Radiomics-based Inter-lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer
17/2023 - Savin, M.S.; Cavinato, L.; Costa, G.; Fiz, F.; Torzilli, G.; Vigano', L.; Ieva, F.
Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma
85/2022 - Lurani Cernuschi , A.; Masci, C.; Corso, F.; Muccini, C.; Ceccarelli, D.; San Raffaele Hospital Galli, L.; Ieva, F.; Paganoni, A.M.; Castagna, A.
A neural network approach to survival analysis for modelling time to cardiovascular diseases in HIV patients with longitudinal observations
76/2022 - Spreafico, M.; Ieva, F.; Fiocco, M.
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
72/2022 - Spreafico, M.; Ieva, F.; Arlati, F.; Capello, F.; Fatone, F.; Fedeli, F.; Genalti, G.; Anninga, J.; Gelderblom, H.; Fiocco, M.
Novel longitudinal multiple overall toxicity score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma
73/2022 - Spreafico, M.; Gasperoni, F.; Barbati, G.; Ieva, F.; Scagnetto, A.; Zanier, L.; Iorio, A.; Sinagra, G.; Di Lenarda, A.
Adherence to disease-modifying therapy in patients hospitalized for HF: findings from a community-based study
64/2022 - Massi, M.C., Dominoni, L., Ieva, F., Fiorito, G.
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis
61/2022 - Gregorio, C.; Cappelletto, C.; Romani, S.; Stolfo, D.; Merlo, M.; Barbati, G.
Using marginal structural joint models to estimate the effect of a time-varying treatment on recurrent events and survival: An application on arrhythmogenic cardiomyopathy
55/2022 - Cavinato, L.; Pegoraro, M.; Ragni, A.; Ieva, F.
Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance
48/2022 - Gregorio, C.; Barbati, G.; Ieva, F.
A wavelet-mixed landmark survival model for the effect of short-term oscillations in longitudinal biomarker’s profiles
24/2022 - Cappozzo, A.; McCrory, C.; Robinson, O.; Freni Sterrantino, A.; Sacerdote, C.; Krogh, V.; Panico, S.; Tumino, R.; Iacoviello, L.; Ricceri, F.; Sieri, S.; Chiodini, P.; Kenny, R.A.; O'Halloran, A.; Polidoro, S.; Solinas, G.; Vineis, P.; Ieva, F.; Fiorito, G.;
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
25/2022 - Cavinato, L; Gozzi, N.; Sollini, M; Kirienko, M; Carlo-Stella, C; Rusconi, C; Chiti, A; Ieva, F.
Perspective transfer model building via imaging-based rules extraction from retrospective cancer subtyping in Hodgkin Lymphoma
27/2022 - Lazzari J., Asnaghi R., Clementi L., Santambrogio M. D.
Math Skills: a New Look from Functional Data Analysis
20/2022 - Clementi, L.; Gregorio, C; Savarè, L.; Ieva, F; Santambrogio, M.D.; Sangalli, L.M.
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment
21/2022 - Cappozzo, A.; Ieva, F.; Fiorito, G.
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
85/2021 - Cavinato, L., Gozzi, N., Sollini, M., Carlo-Stella, C., Chiti, A., & Ieva, F.
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes
80/2021 - Sollini, M., Bartoli, F., Cavinato, L., Ieva, F., Ragni, A., Marciano, A., Zanca, R., Galli, L., Paiar, F., Pasqualetti , F. and Erba P. A.
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer
81/2021 - Massi, M.C.; Gasperoni, F.; Ieva, F.; Paganoni, A.
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
82/2021 - Massi, M.C.; Ieva, F.
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
41/2021 - Costa, G., Cavinato, L., Maschi, C., Fiz, F., Sollini, M., Politi, L. S., Chiti, A., Balzarini, L., Aghemo, A., di Tommaso, L., Ieva, F., Torzilli, G., Viganò, L.
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases
26/2021 - Vigano, L.; Sollini, M.; Ieva, F.; Fiz, F.; Torzilli, G.
Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical Oncologists
85/2020 - Cavinato, L.; Sollini, M.; Kirienko, M.; Biroli, M.; Ricci, F.; Calderoni, L.; Tabacchi, E.; Nanni, C.; Zinzani, P. L.; Fanti, S.; Guidetti, A.; Alessi, A.; Corradini, P.; Seregni, E.; Carlo-Stella, C.; Chiti, A.; Ieva, F.;
PET radiomics-based lesions representation in Hodgkin lymphoma patients
62/2020 - Massi, M. C.; Ieva, F.
Representation Learning Methods for EEG Cross-Subject Channel Selection and Trial Classification
59/2020 - Massi, M.C.; Franco, N.R; Ieva, F.; Manzoni, A.; Paganoni, A.M.; Zunino, P.
High-Order Interaction Learning via Targeted Pattern Search
38/2020 - Sollini, M.; Kirienko, M.; Cavinato, L.; Ricci, F.; Biroli, M.; Ieva, F.; Calderoni, L.; Tabacchi, E.; Nanni, C.; Zinzani, P.L.; Fanti, S.; Guidetti, A; Alessi, A.; Corradini, P.; Seregni, E.; Carlo-Stella, C.; Chiti, A.
Methodological framework for radiomics applications in Hodgkin’s lymphoma
30/2020 - Massi, M.C., Gasperoni, F., Ieva, F., Paganoni, A.M., Zunino, P., Manzoni, A., Franco, N.R., et al.
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort
27/2020 - Spreafico, M.; Ieva, F.; Fiocco, M.
Modelling dynamic covariates effect on survival via Functional Data Analysis: application to the MRC BO06 trial in osteosarcoma
23/2020 - Spreafico, M.; Ieva, F.
Functional modelling of recurrent events on time-to-event processes
09/2020 - Rea, F.; Ieva, F.,; Pastorino, U.; Apolone, G.; Barni, S.; Merlino, L.; Franchi, M.; Corrao, G.
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation
60/2019 - Ieva, F; Paganoni, A.M.; Romo, J.; Tarabelloni, N.
roahd Package: Robust Analysis of High Dimensional Data
47/2019 - Spreafico, M.; Ieva, F.
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates
38/2019 - Massi, M.C.; Ieva, F.; Gasperoni, F.; Paganoni, A.M.
Minority Class Feature Selection through Semi-Supervised Deep Sparse Autoencoders
05/2019 - Gasperoni, F.; Ieva, F.; Paganoni, A.M.; Jackson, C.; Sharples, L.
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model
49/2018 - Massi, M.C.; Ieva, F.; Lettieri, E.
Data Mining Application to Healthcare Fraud Detection: A Two-Step Unsupervised Clustering Model for Outlier Detection with Administrative Databases
30/2018 - Ieva, F.; Palma, F.; Romo, J.
Bootstrap-based Inference for Dependence in Multivariate Functional Data
07/2018 - Ieva, F.; Bitonti, D.
Network Analysis of Comorbidity Patterns in Heart Failure Patients using Administrative Data
04/2018 - Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
Statistical Medical Fraud Assessment: Exposition to an Emerging Field
45/2017 - Gasperoni, F.; Ieva, F.; Paganoni, A.M.; Jackson C.H.; Sharples L.D.
Nonparametric frailty Cox models for hierarchical time-to-event data
43/2017 - Bottle, A.; Ventura, C.M.; Dharmarajan, K.; Aylin, P.; Ieva, F.; Paganoni, A.M.
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
25/2017 - Paulon, G.; De Iorio, M.; Guglielmi, A.; Ieva, F.
Joint modelling of recurrent events and survival: a Bayesian nonparametric approach
16/2017 - Ghiglietti, A.; Scarale, M.G.; Miceli, R.; Ieva, F.; Mariani, L.; Gavazzi, C.; Paganoni, A.M.; Edefonti, V.
Urn models for response-adaptive randomized designs: a simulation study based on a non-adaptive randomized trial
12/2017 - Gasperoni, F.; Ieva, F.; Barbati, G.; Scagnetto, A.; Iorio, A.; Sinagra, G.; Di Lenarda, A.
Multi state modelling of heart failure care path: a population-based investigation from Italy
06/2017 - Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
On the Use of the Concentration Function in Medical Fraud Assessment
32/2016 - Tarabelloni, N.; Schenone, E.; Collin, A.; Ieva, F.; Paganoni, A.M.; Gerbeau, J.-F.
Statistical Assessment and Calibration of Numerical ECG Models
15/2016 - Ieva, F.; Paganoni, A.M.
A taxonomy of outlier detection methods for robust classification in multivariate functional data
03/2016 - Tarabelloni, N.; Ieva, F.
On Data Robustification in Functional Data Analysis
39/2015 - Guglielmi, A.; Ieva, F.; Paganoni, A.M.; Quintana, F.A.
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an Application to Acute Myocardial Infarction
53/2014 - Ieva, F.; Paganoni, A.M., Pietrabissa, T.
Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure
24/2014 - Ieva, F., Jackson, C.H., Sharples, L.D.
Multi-State modelling of repeated hospitalisation and death in patients with Heart Failure: the use of large administrative databases in clinical epidemiology
23/2014 - Ieva, F., Paganoni, A.M., Tarabelloni, N.
Covariance Based Unsupervised Classification in Functional Data Analysis
54/2013 - Biasi, R.; Ieva, F.; Paganoni, A.M.; Tarabelloni, N.
Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiographic signals
39/2013 - Ieva, F.; Marra, G.; Paganoni, A.M.; Radice, R.
A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients
28/2013 - Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
Statistical Issues in Medical Fraud Assessment
26/2013 - Ieva, F.; Paganoni, A.M.
Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models
56/2012 - Ieva, F.; Paganoni, A.M.
Risk Prediction for Myocardial Infarction via Generalized Functional Regression Models
21/2012 - Guglielmi, A.; Ieva, F.; Paganoni, A.M.; Ruggeri, F.; Soriano, J.
Semiparametric Bayesian models for clustering and classification in presence of unbalanced in-hospital survival
20/2012 - Ieva, F.; Paganoni, A. M.; Zanini, P.
Statistical models for detecting Atrial Fibrillation events
12/2012 - Guglielmi, A.; Ieva, F.; Paganoni, A.M.; Ruggeri, F.
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
37/2011 - Ieva, F.; Paganoni, A.M.
Depth Measures For Multivariate Functional Data
22/2011 - Azzimonti, L.; Ieva, F.; Paganoni, A.M.
Nonlinear nonparametric mixed-effects models for unsupervised classification
08/2011 - Ieva, F.; Paganoni, A.M.; Secchi, P.
Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses
04/2011 - Ieva, F.; Paganoni, A.M.; Pigoli, D.; Vitelli, V.
Multivariate functional clustering for the analysis of ECG curves morphology
42/2010 - Baraldo, S.; Ieva, F.; Paganoni, A. M.; Vitelli, V.
Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients
26/2010 - Ieva, Francesca; Paganoni, Anna Maria
Designing and mining a multicenter observational clinical registry concerning patients with Acute Coronary Syndromes
21/2010 - Grieco, Niccolò; Ieva, Francesca; Paganoni, Anna Maria
Provider Profiling Using Mixed Effects Models on a Case Study concerning STEMI Patients
17/2010 - Guglielmi, Alessandra; Ieva, Francesca; Paganoni, Anna Maria; Ruggeri, Fabrizio
A Bayesian random-effects model for survival probabilities after acute myocardial infarction
08/2010 - Ieva, Francesca; Paganoni, Anna Maria
Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI^2 survey
02/2010 - Barbieri, P.; Grieco, N.; Ieva, F.; Paganoni, A. M.; Secchi, P.
Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region
05/2009 - Ieva, Francesca; Paganoni, Anna Maria
A case study on treatment times in patients with ST-Segment Elevation Myocardial Infarction
10/2008 - Grieco, Niccolò; Corrada, Elena; Sesana, Giovanni; Fontana, Giancarlo; Lombardi, Federico; Ieva, Francesca; Paganoni, Anna Maria; Marzegalli, Maurizio
Predictors of the reduction of treatment time for ST-segment elevation myocardial infarction in a complex urban reality. The MoMi2 survey