| Deep Learning for SAR Image Despeckling F Lattari, B Gonzalez Leon, F Asaro, A Rucci, C Prati, M Matteucci Remote Sensing 11 (13), 1532, 2019 | 126 | 2019 |
| A Deep Learning Approach for Change Points Detection in InSAR Time Series F Lattari, A Rucci, M Matteucci IEEE Transactions on Geoscience and Remote Sensing, 2022 | 20 | 2022 |
| Heterogeneous Datasets for Federated Survival Analysis Simulation A Archetti, E Lomurno, F Lattari, A Martin, M Matteucci Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023 | 4 | 2023 |
| ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation F Lattari, M Ciccone, M Matteucci, J Masci, F Visin arXiv preprint arXiv:1806.05510, 2018 | 2 | 2018 |
| NeuralPUMA: Learning to Phase Unwrap through Differentiable Graph Cuts F Lattari, M Cannici, G Murdaca, A Rucci, C Prati, M Matteucci IEEE Transactions on Signal Processing, 2023 | | 2023 |
| CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation F Lattari, V Santomarco, R Santambrogio, A Rucci, M Matteucci 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
| Use of Deep Learning for Speckle Reduction in SAR Images B Gonzalez, F Lattari, F Asaro, A Rucci, A Ferretti, C Prati, M Matteucci | | |
