Evaluation of the intra-and inter-method agreement of brain MRI segmentation software packages: A comparison between SPM12 and FreeSurfer v6. 0 L Palumbo, P Bosco, ME Fantacci, E Ferrari, P Oliva, G Spera, A Retico Physica Medica 64, 261-272, 2019 | 44 | 2019 |
Evaluation of altered functional connections in male children with autism spectrum disorders on multiple-site data optimized with machine learning G Spera, A Retico, P Bosco, E Ferrari, P Oliva, F Muratori, S Calderoni Frontiers in psychiatry 10, 459067, 2019 | 30 | 2019 |
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study E Ferrari, P Bosco, S Calderoni, P Oliva, L Palumbo, G Spera, ... Artificial Intelligence in Medicine 108, 101926, 2020 | 27 | 2020 |
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI) E Ferrari, A Retico, D Bacciu Artificial intelligence in medicine 103, 101804, 2020 | 14 | 2020 |
Addressing fairness, bias and class imbalance in machine learning: the FBI-loss E Ferrari, D Bacciu arXiv preprint arXiv:2105.06345, 2021 | 7 | 2021 |
Rnaseq analysis of brain aging in wild specimens of short-lived turquoise killifish: Commonalities and differences with aging under laboratory conditions M Mazzetto, C Caterino, M Groth, E Ferrari, M Reichard, M Baumgart, ... Molecular Biology and Evolution 39 (11), msac219, 2022 | 5 | 2022 |
Common pitfalls in machine learning applications to multi-center data: tests on the ABIDE I and ABIDE II collections E Ferrari, P Bosco, G Spera, ME Fantacci, A Retico Joint annual meeting ISMRM-ESMRMB, 2018 | 5 | 2018 |
Artificial Intelligence for Autism Spectrum Disorders E Ferrari Artificial Intelligence in Medicine, 1-15, 2021 | 4 | 2021 |
A causal learning framework for the analysis and interpretation of COVID-19 clinical data E Ferrari, L Gargani, G Barbieri, L Ghiadoni, F Faita, D Bacciu Plos one 17 (5), e0268327, 2022 | 3 | 2022 |
Structural MRI Does Not Support the DSM-5 Unification of the DSM-IV-TR Autism Spectrum Diagnoses E Ferrari, A Giuliano, P Bosco, P Oliva, ME Fantacci, F Muratori, ... INSAR_2018_Annual_Meeting_Abstract_Book, 444-444, 2018 | | 2018 |
Confounding factors in machine-learning analysis of multicenter brain MRI data in Autism Spectrum Disorders E Ferrari, P Bosco, G Spera, P Oliva, S Calderoni, F Muratori, L Biagi, ... Atti del IX Congresso dell'Associazione Italiana Risonanza Magnetica in Medicina, 2018 | | 2018 |
Novel Machine Learning Approaches in Multi-site Analysis for Autism Spectrum Disorders E Ferrari, ME Fantacci, A Retico DCBIOSTEC 2018 Abstracts, 2018 | | 2018 |
Analisi di immagini biomediche per la ricerca di biomarcatori del Disturbo dello Spettro Autistico E FERRARI | | 2017 |
Lifespan study by cross-sectional case-control comparisons in sliding age windows: test of ASD heterogeneity with One-Class Classifiers P Oliva, A Giuliano, P Bosco, E Ferrari, M Tosetti, F Muratori, C Sara, ... | | |