| Invariant NKT cell reconstitution in pediatric leukemia patients given HLA-haploidentical stem cell transplantation defines distinct CD4+ and CD4− subset dynamics and … C de Lalla, A Rinaldi, D Montagna, L Azzimonti, ME Bernardo, ... The Journal of Immunology 186 (7), 4490-4499, 2011 | 94 | 2011 |
| Profiling the location and extent of musicians’ pain using digital pain drawings C Cruder, D Falla, F Mangili, L Azzimonti, LS Araújo, A Williamon, ... Pain Practice 18 (1), 53-66, 2018 | 82 | 2018 |
| Invariant NKT cells contribute to chronic lymphocytic leukemia surveillance and prognosis F Gorini, L Azzimonti, G Delfanti, L Scarfo, C Scielzo, MT Bertilaccio, ... Blood, The Journal of the American Society of Hematology 129 (26), 3440-3451, 2017 | 75 | 2017 |
| Computational study of the fluid-dynamics in carotids before and after endarterectomy B Guerciotti, C Vergara, L Azzimonti, L Forzenigo, A Buora, P Biondetti, ... Journal of biomechanics 49 (1), 26-38, 2016 | 60 | 2016 |
| Blood flow velocity field estimation via spatial regression with PDE penalization L Azzimonti, LM Sangalli, P Secchi, M Domanin, F Nobile Journal of the American Statistical Association 110 (511), 1057-1071, 2015 | 59 | 2015 |
| Artificial intelligence in thyroid field—a comprehensive review F Bini, A Pica, L Azzimonti, A Giusti, L Ruinelli, F Marinozzi, P Trimboli Cancers 13 (19), 4740, 2021 | 44 | 2021 |
| Mixed finite elements for spatial regression with PDE penalization L Azzimonti, F Nobile, LM Sangalli, P Secchi SIAM/ASA Journal on Uncertainty Quantification 2 (1), 305-335, 2014 | 40 | 2014 |
| Efficient feature selection using shrinkage estimators K Sechidis, L Azzimonti, A Pocock, G Corani, J Weatherall, G Brown Machine Learning 108, 1261-1286, 2019 | 32 | 2019 |
| Modeling spatially dependent functional data via regression with differential regularization E Arnone, L Azzimonti, F Nobile, LM Sangalli Journal of Multivariate Analysis 170, 275-295, 2019 | 27 | 2019 |
| Nonlinear nonparametric mixed-effects models for unsupervised classification L Azzimonti, F Ieva, A Maria Paganoni Computational Statistics 28, 1549-1570, 2013 | 27 | 2013 |
| Hierarchical estimation of parameters in Bayesian networks L Azzimonti, G Corani, M Zaffalon Computational Statistics & Data Analysis 137, 67-91, 2019 | 24 | 2019 |
| TCR-engineered iNKT cells induce robust antitumor response by dual targeting cancer and suppressive myeloid cells G Delfanti, F Cortesi, A Perini, G Antonini, L Azzimonti, C de Lalla, ... Science Immunology 7 (74), eabn6563, 2022 | 23 | 2022 |
| The influence of baseline clinical status and surgical strategy on early good to excellent result in spinal lumbar arthrodesis: a machine learning approach P Berjano, F Langella, L Ventriglia, D Compagnone, P Barletta, D Huber, ... Journal of personalized medicine 11 (12), 1377, 2021 | 12 | 2021 |
| Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland D Ravasi, F Mangili, D Huber, L Azzimonti, L Engeler, N Vermes, ... International Journal of Environmental Research and Public Health 19 (6), 3220, 2022 | 9 | 2022 |
| Hierarchical Multinomial-Dirichlet model for the estimation of conditional probability tables L Azzimonti, G Corani, M Zaffalon 2017 IEEE International Conference on Data Mining (ICDM), 739-744, 2017 | 7 | 2017 |
| Surface estimation via spatial spline models with PDE penalization L Azzimonti, M Domanin, L Sangalli, P Secchi Proceedings of S. Co. 2011 Conference, 1-6, 2011 | 7 | 2011 |
| Using mixed-effects models to learn Bayesian networks from related data sets M Scutari, C Marquis, L Azzimonti International Conference on Probabilistic Graphical Models, 73-84, 2022 | 6 | 2022 |
| Structure learning from related data sets with a hierarchical Bayesian score L Azzimonti, G Corani, M Scutari International conference on probabilistic graphical models, 5-16, 2020 | 6 | 2020 |
| Artificial intelligence in thyroid field-a comprehensive review. Cancers 2021 13 4740 F Bini, A Pica, L Azzimonti, A Giusti, L Ruinelli, F Marinozzi, P Trimboli Risk Stratification of Thyroid Nodule, 81, 2021 | 4 | 2021 |
| BarCamp: technology foresight and statistics for the future L Azzimonti, MA Cremona, A Ghiglietti, F Ieva, A Menafoglio, A Pini, ... Advances in Complex Data Modeling and Computational Methods in Statistics, 53-67, 2015 | 4 | 2015 |
