| Deep learning reveals Alzheimer's disease onset in MCI subjects: results from an international challenge N Amoroso, D Diacono, A Fanizzi, M La Rocca, A Monaco, A Lombardi, ... Journal of neuroscience methods 302, 3-9, 2018 | 143 | 2018 |
| Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy M Avanzo, M Porzio, L Lorenzon, L Milan, R Sghedoni, G Russo, ... Physica Medica 83, 221-241, 2021 | 79 | 2021 |
| Explainable deep learning for personalized age prediction with brain morphology A Lombardi, D Diacono, N Amoroso, A Monaco, JMRS Tavares, R Bellotti, ... Frontiers in neuroscience 15, 674055, 2021 | 65 | 2021 |
| Deep learning and multiplex networks for accurate modeling of brain age N Amoroso, M La Rocca, L Bellantuono, D Diacono, A Fanizzi, E Lella, ... Frontiers in aging neuroscience 11, 115, 2019 | 59 | 2019 |
| Fully automated support system for diagnosis of breast cancer in contrast-enhanced spectral mammography images A Fanizzi, L Losurdo, TMA Basile, R Bellotti, U Bottigli, P Delogu, ... Journal of Clinical Medicine 8 (6), 891, 2019 | 56 | 2019 |
| Predicting brain age with complex networks: From adolescence to adulthood L Bellantuono, L Marzano, M La Rocca, D Duncan, A Lombardi, ... NeuroImage 225, 117458, 2021 | 53 | 2021 |
| A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer’s Disease A Lombardi, D Diacono, N Amoroso, P Biecek, A Monaco, L Bellantuono, ... Brain informatics 9 (1), 17, 2022 | 47 | 2022 |
| Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe R Cilli, M Elia, M D’Este, V Giannico, N Amoroso, A Lombardi, E Pantaleo, ... Scientific reports 12 (1), 16349, 2022 | 41 | 2022 |
| Breath analysis for early detection of malignant pleural mesothelioma: volatile organic compounds (VOCs) determination and possible biochemical pathways A Di Gilio, A Catino, A Lombardi, J Palmisani, L Facchini, T Mongelli, ... Cancers 12 (5), 1262, 2020 | 39 | 2020 |
| Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework L Bellantuono, A Monaco, N Amoroso, V Aquaro, A Lombardi, S Tangaro, ... Applied Network Science 7 (1), 14, 2022 | 32 | 2022 |
| Machine learning and DWI brain communicability networks for Alzheimer’s disease detection E Lella, A Lombardi, N Amoroso, D Diacono, T Maggipinto, A Monaco, ... Applied Sciences 10 (3), 934, 2020 | 32 | 2020 |
| A Gradient‐Based Approach for Breast DCE‐MRI Analysis L Losurdo, TMA Basile, A Fanizzi, R Bellotti, U Bottigli, R Carbonara, ... BioMed Research International 2018 (1), 9032408, 2018 | 29 | 2018 |
| Communicability disruption in Alzheimer’s disease connectivity networks E Lella, N Amoroso, A Lombardi, T Maggipinto, S Tangaro, R Bellotti, ... Journal of Complex Networks 7 (1), 83-100, 2019 | 28 | 2019 |
| Shannon entropy approach reveals relevant genes in Alzheimer’s disease A Monaco, N Amoroso, L Bellantuono, E Lella, A Lombardi, A Monda, ... PloS One 14 (12), e0226190, 2019 | 27 | 2019 |
| Brain age prediction with morphological features using deep neural networks: Results from predictive analytic competition 2019 A Lombardi, A Monaco, G Donvito, N Amoroso, R Bellotti, S Tangaro Frontiers in Psychiatry 11, 619629, 2021 | 25 | 2021 |
| Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes A Lombardi, C Guaragnella, N Amoroso, A Monaco, L Fazio, P Taurisano, ... NeuroImage 195, 150-164, 2019 | 23 | 2019 |
| Territorial bias in university rankings: a complex network approach L Bellantuono, A Monaco, N Amoroso, V Aquaro, M Bardoscia, ... Scientific reports 12 (1), 4995, 2022 | 20 | 2022 |
| Extensive evaluation of morphological statistical harmonization for brain age prediction A Lombardi, N Amoroso, D Diacono, A Monaco, S Tangaro, R Bellotti Brain sciences 10 (6), 364, 2020 | 20 | 2020 |
| Multi-site harmonization of MRI data uncovers machine-learning discrimination capability in barely separable populations: An example from the ABIDE dataset S Saponaro, A Giuliano, R Bellotti, A Lombardi, S Tangaro, P Oliva, ... NeuroImage: Clinical 35, 103082, 2022 | 19 | 2022 |
| Identifying potential gene biomarkers for Parkinson’s disease through an information entropy based approach A Monaco, E Pantaleo, N Amoroso, L Bellantuono, A Lombardi, A Tateo, ... Physical Biology 18 (1), 016003, 2020 | 19 | 2020 |
Tommaso Di NoiaFull Professor, Polytechnic University of BariVerified email at poliba.it
