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 | 65 | 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 | 52 | 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 | 28 | 2017 |
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 | 26 | 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, 2015 | 24 | 2015 |
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, 173, 2017 | 20 | 2017 |
A model-guided string-based approach to white matter fiber-bundles extraction C Stamile, F Cauteruccio, G Terracina, D Ursino, G Kocevar, ... International Conference on Brain Informatics and Health, 135-144, 2015 | 18 | 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 | 15 | 2016 |
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 | 13 | 2019 |
Graph based neural networks for automatic classification of multiple sclerosis clinical courses. F Calimeri, A Marzullo, C Stamile, G Terracina ESANN, 2018 | 13 | 2018 |
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 | 12 | 2019 |
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 | 12 | 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 | 11 | 2015 |
A graph based classification method for multiple sclerosis clinical forms using support vector machine C Stamile, G Kocevar, S Hannoun, F Durand-Dubief, D Sappey-Marinier Medical learning meets medical imaging, 57-64, 2015 | 10 | 2015 |
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 | 8 | 2016 |
Multiparametric non-negative matrix factorization for longitudinal variations detection in white-matter fiber bundles C Stamile, G Kocevar, F Cotton, F Maes, D Sappey-Marinier, S Van Huffel IEEE journal of biomedical and health informatics 21 (5), 1393-1402, 2016 | 8 | 2016 |
A comparison of machine learning approaches for classifying multiple sclerosis courses using mrsi and brain segmentations A Ion-Mărgineanu, G Kocevar, C Stamile, DM Sima, F Durand-Dubief, ... International Conference on Artificial Neural Networks, 643-651, 2017 | 7 | 2017 |
A longitudinal model for variations detection in white matter fiber-bundles C Stamile, G Kocevar, F Cotton, S Hannoun, F Durand-Dubief, C Frindel, ... 2015 International Conference on Systems, Signals and Image Processing …, 2015 | 7 | 2015 |
Improving quickbundles to extract anatomically coherent white matter fiber-bundles F Cauteruccio, C Stamile, G Terracina, D Ursino, D Sappey-Marinier International Conference on Image Analysis and Recognition, 633-641, 2016 | 6 | 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, ... arXiv preprint arXiv:1910.09472, 2019 | 5 | 2019 |