| 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 | 169 | 2017 |
| Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network W Qi, SE Ovur, Z Li, A Marzullo, R Song IEEE Robotics and Automation Letters 6 (3), 6039-6045, 2021 | 125 | 2021 |
| Artificial intelligence for brain diseases: A systematic review A Segato, A Marzullo, F Calimeri, E De Momi APL bioengineering 4 (4), 2020 | 84 | 2020 |
| 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 | 62 | 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 | 44 | 2021 |
| An open-source covid-19 ct dataset with automatic lung tissue classification for radiomics P Zaffino, A Marzullo, S Moccia, F Calimeri, E De Momi, B Bertucci, ... Bioengineering 8 (2), 26, 2021 | 27 | 2021 |
| Towards realistic laparoscopic image generation using image-domain translation A Marzullo, S Moccia, M Catellani, F Calimeri, E De Momi Computer Methods and Programs in Biomedicine 200, 105834, 2021 | 25 | 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 | 24 | 2016 |
| 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 | 18 | 2021 |
| 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 | 17 | 2021 |
| Graph based neural networks for automatic classification of multiple sclerosis clinical courses. F Calimeri, A Marzullo, C Stamile, G Terracina ESANN, 2018 | 17 | 2018 |
| Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy JF Lazo, A Marzullo, S Moccia, M Catellani, B Rosa, M de Mathelin, ... International Journal of Computer Assisted Radiology and Surgery 16 (6), 915-922, 2021 | 12 | 2021 |
| 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 | 11 | 2019 |
| Ensemble learning for multiple sclerosis disability estimation using brain structural connectivity B Barile, A Marzullo, C Stamile, F Durand-Dubief, D Sappey-Marinier Brain Connectivity 12 (5), 476-488, 2022 | 7 | 2022 |
| Microstructural changes in the left mesocorticolimbic pathway are associated with the comorbid development of fatigue and depression in multiple sclerosis M Palotai, C Small, N Makris, NG Somes, AM Pinzon, Y Rathi, A Marzullo, ... Journal of Neuroimaging 31 (3), 501-507, 2021 | 7 | 2021 |
| Mixing logic programming and neural networks to support neurological disorders analysis F Calimeri, F Cauteruccio, A Marzullo, C Stamile, G Terracina International Joint Conference on Rules and Reasoning, 33-47, 2018 | 7 | 2018 |
| FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery Z Chen, A Marzullo, D Alberti, E Lievore, M Fontana, O De Cobelli, G Musi, ... Computers in Biology and Medicine, 107121, 2023 | 6 | 2023 |
| A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT) A Marzullo, C Stamile, G Terracina, F Calimeri, S Van Huffel 2017 IEEE Congress on Evolutionary Computation (CEC), 681-687, 2017 | 6 | 2017 |
| A lumen segmentation method in ureteroscopy images based on a deep residual u-net architecture JF Lazo, A Marzullo, S Moccia, M Catellani, B Rosa, F Calimeri, ... 2020 25th International Conference on Pattern Recognition (ICPR), 9203-9210, 2021 | 5 | 2021 |
| Blood vessel segmentation in retinal fundus images using Hypercube NeuroEvolution of augmenting topologies (HyperNEAT) F Calimeri, A Marzullo, C Stamile, G Terracina Italian Workshop on Neural Nets, 173-183, 2017 | 5 | 2017 |
Francesco CalimeriAssociate Professor of Computer Science, University of Calabria (UNICAL), ItalyПотвърден имейл адрес: unical.it
