Matteo Tortora

Orcid: 0000-0002-3932-7380

According to our database1, Matteo Tortora authored at least 24 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Predicting lung cancer survival with attention-based CT slices combination.
Health Inf. Sci. Syst., December, 2026

Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting.
CoRR, March, 2026

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models.
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

Towards a sustainable future: AI-powered solutions in agriculture and green energy.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Next-gen health: from multimodal AI to foundation models.
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
Machine learning predicts pulmonary Long Covid sequelae using clinical data.
BMC Medical Informatics Decis. Mak., December, 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

Benchmarking GAN-Based vs Classical Data Augmentation on Biomedical Images.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation.
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

Sustainable AI: inside the deep, alongside the green.
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
PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction.
IEEE Access, 2022

2021
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma.
Artif. Intell. Medicine, 2021

Exploring Deep Pathomics in Lung Cancer.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020


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