| Biomedical data augmentation using generative adversarial neural networks F Calimeri, A Marzullo, C Stamile, G Terracina International conference on artificial neural networks, 626-634, 2017 | 188 | 2017 |
| Graph theory-based brain connectivity for automatic classification of multiple sclerosis clinical courses G Kocevar, C Stamile, S Hannoun, F Cotton, S Vukusic, F Durand-Dubief, ... Frontiers in neuroscience 10, 478, 2016 | 115 | 2016 |
| Machine learning approach for classifying multiple sclerosis courses by combining clinical data with lesion loads and magnetic resonance metabolic features A Ion-Mărgineanu, G Kocevar, C Stamile, DM Sima, F Durand-Dubief, ... Frontiers in neuroscience 11, 398, 2017 | 75 | 2017 |
| Classification of multiple sclerosis clinical profiles via graph convolutional neural networks A Marzullo, G Kocevar, C Stamile, F Durand-Dubief, G Terracina, ... Frontiers in neuroscience 13, 594, 2019 | 73 | 2019 |
| Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis B Barile, A Marzullo, C Stamile, F Durand-Dubief, D Sappey-Marinier Computer methods and programs in biomedicine 206, 106113, 2021 | 59 | 2021 |
| Hemispheric differences in white matter microstructure between two profiles of children with high intelligence quotient vs. controls: a tract-based spatial statistics study F Nusbaum, S Hannoun, G Kocevar, C Stamile, P Fourneret, O Revol Frontiers in neuroscience 11, 245529, 2017 | 54 | 2017 |
| Novel method for automated analysis of retinal images: results in subjects with hypertensive retinopathy and CADASIL M Cavallari, C Stamile, R Umeton, F Calimeri, F Orzi BioMed research international 2015 (1), 752957, 2015 | 46 | 2015 |
| Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis G Kocevar, I Suprano, C Stamile, S Hannoun, P Fourneret, O Revol, ... Intelligence 72, 67-75, 2019 | 39 | 2019 |
| Quantitative longitudinal imaging of activated microglia as a marker of inflammation in the pilocarpine rat model of epilepsy using [11C]-(R)-PK11195 PET and MRI J Yankam Njiwa, N Costes, C Bouillot, S Bouvard, S Fieux, G Becker, ... Journal of Cerebral Blood Flow & Metabolism 37 (4), 1251-1263, 2017 | 38 | 2017 |
| Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms C Stamile, A Marzullo, E Deusebio Packt Publishing Ltd, 2021 | 31 | 2021 |
| Optic disc detection using fine tuned convolutional neural networks F Calimeri, A Marzullo, C Stamile, G Terracina 2016 12th international conference on signal-image technology & internet …, 2016 | 27 | 2016 |
| A logic-based framework leveraging neural networks for studying the evolution of neurological disorders F Calimeri, F Cauteruccio, L Cinelli, A Marzullo, C Stamile, G Terracina, ... Theory and Practice of Logic Programming 21 (1), 80-124, 2021 | 25 | 2021 |
| A model-guided string-based approach to white matter fiber-bundles extraction C Stamile, F Cauteruccio, G Terracina, D Ursino, G Kocevar, ... Brain Informatics and Health: 8th International Conference, BIH 2015, London …, 2015 | 20 | 2015 |
| A sensitive and automatic white matter fiber tracts model for longitudinal analysis of diffusion tensor images in multiple sclerosis C Stamile, G Kocevar, F Cotton, F Durand-Dubief, S Hannoun, C Frindel, ... PLoS One 11 (5), e0156405, 2016 | 19 | 2016 |
| An automated string-based approach to white matter fiber-bundles clustering F Cauteruccio, C Stamile, G Terracina, D Ursino, D Sappey-Mariniery 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 19 | 2015 |
| Topological modification of brain networks organization in children with high intelligence quotient: a resting-state fMRI study I Suprano, C Delon-Martin, G Kocevar, C Stamile, S Hannoun, S Achard, ... Frontiers in human neuroscience 13, 241, 2019 | 18 | 2019 |
| White matter microarchitecture and structural network integrity correlate with children intelligence quotient I Suprano, G Kocevar, C Stamile, S Hannoun, P Fourneret, O Revol, ... Scientific reports 10 (1), 20722, 2020 | 17 | 2020 |
| Prediction of multiple sclerosis patient disability from structural connectivity using convolutional neural networks A Marzullo, G Kocevar, C Stamile, F Calimeri, G Terracina, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 17 | 2019 |
| Graph based neural networks for automatic classification of multiple sclerosis clinical courses. F Calimeri, A Marzullo, C Stamile, G Terracina ESANN, 2018 | 17 | 2018 |
| An automated string-based approach to extracting and characterizing white matter fiber-bundles F Cauteruccio, C Stamile, G Terracina, D Ursino, D Sappey-Marinier Computers in Biology and Medicine 77, 64-75, 2016 | 17 | 2016 |
