ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. - Francesco Lattari; Marco Ciccone; Matteo Matteucci; Jonathan Masci; Francesco Visin (CoRR, 2018)

Deep Learning for SAR Image Despeckling. - Francesco Lattari; Borja Gonzalez León; Francesco Asaro; Alessio Rucci; Claudio Maria Prati; Matteo Matteucci (Remote. Sens., 2019)

A Deep Learning Approach for Change Points Detection in InSAR Time Series. - Francesco Lattari; Alessio Rucci; Matteo Matteucci (IEEE Trans. Geosci. Remote. Sens., 2022)

CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation. - Francesco Lattari; Vincenzo Santomarco; Riccardo Santambrogio; Alessio Rucci; Matteo Matteucci (IJCNN, 2023)

Heterogeneous Datasets for Federated Survival Analysis Simulation. - Alberto Archetti; Eugenio Lomurno; Francesco Lattari; André Martin; Matteo Matteucci (ICPE (Companion), 2023)

AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum. - Francesco Lattari; Matteo Matteucci; Danilo Ardagna (AINA (5), 2024)

A Deep- Learning Technique to Locate Cryptographic Operations in Side-Channel Traces. - Giuseppe Chiari; Davide Galli; Francesco Lattari; Matteo Matteucci; Davide Zoni (DATE, 2024)

Event-based eye tracking for smart eyewear. - Simone Mentasti; Francesco Lattari; Riccardo Santambrogio; Gianmario Careddu; Matteo Matteucci (ETRA, 2024)

NeuralPUMA: Learning to Phase Unwrap Through Differentiable Graph Cuts. - Francesco Lattari; Marco Cannici; Gianluca Murdaca; Alessio Rucci; Claudio Maria Prati; Matteo Matteucci (IEEE Trans. Signal Process., 2024)

Dataset for: A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces. - Giuseppe Chiari; Davide Galli; Francesco Lattari; Matteo Matteucci; Davide Zoni (Zenodo, 2024)

A Deep Learning-Assisted Template Attack Against Dynamic Frequency Scaling Countermeasures. - Davide Galli; Francesco Lattari; Matteo Matteucci; Davide Zoni (IEEE Trans. Computers, 2025)