| Deep Learning for HDD health assessment: An application based on LSTM A De Santo, A Galli, M Gravina, V Moscato, G Sperlì IEEE Transactions on Computers 71 (1), 69-80, 2020 | 74 | 2020 |
| 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 | 26 | 2021 |
| 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 | 18 | 2022 |
| Machine learning and clinical-radiological characteristics for the classification of prostate cancer in pi-rads 3 lesions M Gravina, L Spirito, G Celentano, M Capece, M Creta, G Califano, ... Diagnostics 12 (7), 1565, 2022 | 15 | 2022 |
| CNN-based approaches with different tumor bounding options for lymph node status prediction in breast DCE-MRI D Santucci, E Faiella, M Gravina, E Cordelli, C de Felice, ... Cancers 14 (19), 4574, 2022 | 12 | 2022 |
| 3TP-CNN: radiomics and deep learning for lesions classification in DCE-MRI M Gravina, S Marrone, G Piantadosi, M Sansone, C Sansone Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 10 | 2019 |
| Evaluating impacts of motion correction on deep learning approaches for breast DCE-MRI segmentation and classification A Galli, M Gravina, S Marrone, G Piantadosi, M Sansone, C Sansone Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 7 | 2019 |
| Leveraging CycleGAN in lung CT Sinogram-free kernel conversion M Gravina, S Marrone, L Docimo, M Santini, A Fiorelli, D Parmeggiani, ... International Conference on Image Analysis and Processing, 100-110, 2022 | 6 | 2022 |
| Lessonable: leveraging deep fakes in MOOC content creation C Sannino, M Gravina, S Marrone, G Fiameni, C Sansone International Conference on Image Analysis and Processing, 27-37, 2022 | 4 | 2022 |
| A multimodal knowledge-based deep learning approach for mgmt promoter methylation identification S Capuozzo, M Gravina, G Gatta, S Marrone, C Sansone Journal of Imaging 8 (12), 321, 2022 | 3 | 2022 |
| Developing a smart PACS: CBIR system using deep learning M Gravina, S Marrone, G Piantadosi, V Moscato, C Sansone Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 3 | 2021 |
| Deep learning in the ultrasound evaluation of neonatal respiratory status M Gravina, D Gragnaniello, L Verdoliva, G Poggi, I Corsini, C Dani, ... 2020 25th international conference on pattern recognition (ICPR), 10493-10499, 2021 | 2 | 2021 |
| Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data M Gravina, A García-Pedrero, C Gonzalo-Martín, C Sansone, P Soda Artificial Intelligence in Medicine 149, 102774, 2024 | 1 | 2024 |
| Ai-powered learning: Personalizing education for each student F Amato, A Galli, M Gravina, L Marassi, S Marrone, C Sansone 3rd CINI National Conference on Artificial Intelligence (ITAL-IA 2023), in …, 2023 | 1 | 2023 |
| Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection A Galli, M Gravina, S Marrone, D Mattiello, C Sansone IET Biometrics 12 (2), 102-111, 2023 | 1 | 2023 |
| Analyzing the similarity between artificial and training images in generative models: The picuslabmed contribution M Gravina, S Marrone, C Sansone CLEF2023 Working Notes, CEUR Workshop Proceedings, Thessaloniki, Greece, 2023 | 1 | 2023 |
| Evaluating tumour bounding options for deep learning-based axillary lymph node metastasis prediction in breast cancer M Gravina, E Cordelli, D Santucci, P Soda, C Sansone 2022 26th International Conference on Pattern Recognition (ICPR), 4335-4342, 2022 | 1 | 2022 |
| A Business Reputation Methodology Using Social Network Analysis A Galli, M Gravina, V Moscato, A Picariello, C Sansone, G Sperlí Pervasive Systems, Algorithms and Networks: 16th International Symposium, I …, 2019 | 1 | 2019 |
| Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm A Montella, M Tranfa, A Scaravilli, F Barkhof, A Brunetti, J Cole, M Gravina, ... Human brain mapping 45 (5), e26599, 2024 | | 2024 |
| FEAD-D: Facial Expression Analysis in Deepfake Detection M Gravina, A Galli, G De Micco, S Marrone, G Fiameni, C Sansone International Conference on Image Analysis and Processing, 283-294, 2023 | | 2023 |
