| Chatbots Meet eHealth: Automatizing Healthcare. F Amato, S Marrone, V Moscato, G Piantadosi, A Picariello, C Sansone WAIAH@ AI* IA, 40-49, 2017 | 120 | 2017 |
| Transformers in the real world: A survey on nlp applications N Patwardhan, S Marrone, C Sansone Information 14 (4), 242, 2023 | 112 | 2023 |
| Data learning: Integrating data assimilation and machine learning C Buizza, CQ Casas, P Nadler, J Mack, S Marrone, Z Titus, C Le Cornec, ... Journal of Computational Science 58, 101525, 2022 | 96 | 2022 |
| Artificial intelligence in railway transport: Taxonomy, regulations, and applications N Bešinović, L De Donato, F Flammini, RMP Goverde, Z Lin, R Liu, ... IEEE Transactions on Intelligent Transportation Systems 23 (9), 14011-14024, 2021 | 93 | 2021 |
| Machine learning applications in head and neck radiation oncology: lessons from open-source radiomics challenges H Elhalawani, TA Lin, S Volpe, ASR Mohamed, AL White, J Zafereo, ... Frontiers in oncology 8, 294, 2018 | 41 | 2018 |
| DCE-MRI breast lesions segmentation with a 3TP U-Net deep convolutional neural network G Piantadosi, S Marrone, A Galli, M Sansone, C Sansone 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | 40 | 2019 |
| DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI M Gravina, S Marrone, M Sansone, C Sansone Pattern Recognition Letters 145, 67-73, 2021 | 31 | 2021 |
| Comprehensive computer‐aided diagnosis for breast T1‐weighted DCE‐MRI through quantitative dynamical features and spatio‐temporal local binary patterns G Piantadosi, S Marrone, R Fusco, M Sansone, C Sansone IET Computer Vision 12 (7), 1007-1017, 2018 | 31 | 2018 |
| Interaction data are identifiable even across long periods of time AM Creţu, F Monti, S Marrone, X Dong, M Bronstein, YA de Montjoye Nature Communications 13 (1), 313, 2022 | 29 | 2022 |
| HOLMeS: EHealth in the big data and deep learning era F Amato, S Marrone, V Moscato, G Piantadosi, A Picariello, C Sansone Information 10 (2), 34, 2019 | 29 | 2019 |
| Automatic lesion detection in breast DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 28 | 2013 |
| Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach G Pontillo, S Penna, S Cocozza, M Quarantelli, M Gravina, R Lanzillo, ... European Radiology 32 (8), 5382-5391, 2022 | 27 | 2022 |
| An investigation of deep learning for lesions malignancy classification in breast DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 27 | 2017 |
| Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone 2016 23rd International Conference on Pattern Recognition (ICPR), 1472-1477, 2016 | 27 | 2016 |
| A survey on audio-video based defect detection through deep learning in railway maintenance L De Donato, F Flammini, S Marrone, C Mazzariello, R Nardone, ... IEEE Access 10, 65376-65400, 2022 | 26 | 2022 |
| Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture L De Donato, R Dirnfeld, A Somma, A De Benedictis, F Flammini, ... Journal of Reliable Intelligent Environments 9 (3), 303-317, 2023 | 24 | 2023 |
| Low-power wide-area networks in intelligent transportation: Review and opportunities for smart-railways R Dirnfeld, F Flammini, S Marrone, R Nardone, V Vittorini 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 23 | 2020 |
| Comparison between two packages for pectoral muscle removal on mammographic images M Sansone, S Marrone, G Di Salvio, MP Belfiore, G Gatta, R Fusco, ... La radiologia medica 127 (8), 848-856, 2022 | 22 | 2022 |
| Reliability of explainable artificial intelligence in adversarial perturbation scenarios A Galli, S Marrone, V Moscato, C Sansone International Conference on Pattern Recognition, 243-256, 2021 | 20 | 2021 |
| Reproducibility of deep CNN for biomedical image processing across frameworks and architectures S Marrone, S Olivieri, G Piantadosi, C Sansone 2019 27th european signal processing conference (eusipco), 1-5, 2019 | 19 | 2019 |
Carlo SansoneFull Professor, Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'InformazioneVerified email at unina.it