Matteo Tortora
Orcid: 0000-0002-3932-7380
According to our database1,
Matteo Tortora authored at least 24 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Health Inf. Sci. Syst., December, 2026
CoRR, March, 2026
CoRR, March, 2026
Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates.
CoRR, February, 2026
2025
Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data.
BMC Medical Informatics Decis. Mak., December, 2025
Context-Gated Cross-Modal Perception with Visual Mamba for PET-CT Lung Tumor Segmentation.
CoRR, October, 2025
Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study.
Frontiers Comput. Sci., 2025
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025
Medicine without boundaries: generative AI for translating medical data across modalities.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025
2024
BMC Medical Informatics Decis. Mak., December, 2024
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024
Proceedings of the Human-Friendly Robotics 2024 - HFR: 17th International Workshop on Human-Friendly Robotics, Lugano, Switzerland, 30 September, 2024
2023
MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting.
CoRR, 2023
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy.
IEEE Access, 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Access, 2022
2021
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma.
Artif. Intell. Medicine, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020