Explainable Boosting Machine for Predicting Alzheimer's Disease from MRI Hippocampal Subfields. - Alessia Sarica; Andrea Quattrone; Aldo Quattrone (BI, 2021)

A Novel Approach for Cognitive Clustering of Parkinsonisms through Affinity Propagation. - Alessia Sarica; Maria Grazia Vaccaro; Andrea Quattrone; Aldo Quattrone (Algorithms, 2021)

Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson's Disease. - Alessia Sarica; Andrea Quattrone; Aldo Quattrone (BI, 2022)

Resting motor threshold asymmetry in PD patients: a navigated TMS measurement study. - Vera Gramigna; Maria Giovanna Bianco; Marianna Crasá; Rita Nisticó; Andrea Quattrone; Aldo Quattrone (MeMeA, 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

Impact of Imputation Methods on Supervised Classification: A Multiclass Study on Patients with Parkinson's Disease and Subjects with Scans Without Evidence of Dopaminergic Deficit. - Federica Aracri; Maria Giovanna Bianco; Andrea Quattrone; Alessia Sarica (BATS, 2023)

A Quantitative Kinematic Evaluation of Postural Response in Parkinson's Disease Subtypes. - Camilla Calomino; Vera Gramigna; Rita Nisticó; Maria Giovanna Bianco; Marianna Crasá; Alessia Cristofaro; Giulia Sgró; Andrea Quattrone; Aldo Quattrone (BATS, 2023)

Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis. - Alessia Sarica; Federica Aracri; Maria Giovanna Bianco; Maria Grazia Vaccaro; Andrea Quattrone; Aldo Quattrone (BI, 2023)

Imputation of missing clinical, cognitive and neuroimaging data of Dementia using missForest, a Random Forest based algorithm. - Federica Aracri; Maria Giovanna Bianco; Andrea Quattrone; Alessia Sarica (CBMS, 2023)

Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. - Alessia Sarica; Federica Aracri; Maria Giovanna Bianco; Fulvia Arcuri; Andrea Quattrone; Aldo Quattrone (Brain Informatics, 2023)

Hybrid Feature Selection Approach Combining Filters and Feature Importance on the PPMI Dataset. - Camilla Calomino; Andrea Quattrone; Maria Giovanna Bianco (ICBET, 2024)

Comparative Analysis of Cross-Validation Methods on PPMI Dataset. - Camilla Calomino; Maria Giovanna Bianco; Giuseppe Oliva; Filippo Laganà; Salvatore A. Pullano; Andrea Quattrone (MeMeA, 2024)

Comparison Between External and Internal Imputation of Missing Values in Longitudinal Data for Alzheimer's Disease Diagnosis. - Federica Aracri; Monica Hernandez; Andrea Quattrone; Alessia Sarica (MetroXRAINE, 2024)

Brain Morphometry Differences Across Sexes Revealed Through Explainable Artificial Intelligence: A Human Connectome Project Young Adult Study. - Chiara Camastra; Assunta Pelagi; Andrea Quattrone; Alessia Sarica (LOD (3), 2024)

Predicting Psychological Well-being in HCP Young Adult Cohort Using Random Forests Regression and SHAP with NIHTB Emotion Battery. - Assunta Pelagi; Chiara Camastra; Andrea Quattrone; Alessia Sarica (LOD (3), 2024)

Conformal Prediction for Uncertainty Quantification in Brain Age Estimation Using Random Forests Quantile Regression on MRI Features of the HCP Young Adult. - Alessia Sarica; Chiara Camastra; Assunta Pelagi; Fulvia Arcuri; Andrea Quattrone (LOD (3), 2024)