Scientific publications.

Rondinella, A., Guarnera, F., Rundo, F., Battiato, S. DeepSeg-MS: A 3D network based on hierarchical multi-scale learning for MRI multiple sclerosis lesion segmentation. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (PHAROS Workshop), 2025.

Napoli Spatafora, M. A., Ortis, A., Battiato, S. Mixup Data Augmentation for COVID-19 Infection Percentage Estimation. In Image Analysis and Processing. ICIAP 2022 Workshops, Springer, 2022, pp. 508-519.

Rundo, F., Banna, G. L., Trenta, F., Battiato, S. Advanced Deep Network with Attention and Genetic-Driven Reinforcement Learning Layer for an Efficient Cancer Treatment Outcome Prediction. 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 294-298.

Rundo, F., Banna, G. L., Trenta, F., Battiato, S. Advanced Densely Connected System with Embedded Spatio-Temporal Features Augmentation for Immunotherapy Assessment. 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-7.

Pino, C., Palazzo, S., Trenta, F., Cordero, F., Bagci, U., Rundo, F., Battiato, S., Giordano, D., Aldinucci, M., Spampinato, C. Interpretable Deep Model for Predicting Gene-Addicted Non-Small-Cell Lung Cancer in CT Scans. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 891-894.

Rundo, F., Genovese, A., Leotta, R., Scotti, F., Piuri, V., Battiato, S. Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-Based COVID-19 Assessment. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCV Workshops), 2021, pp. 423-432.

Rundo, F., Banna, G. L., Prezzavento, L., Trenta, F., Conoci, S., Battiato, S. 3D Non-Local Neural Network: A Non-Invasive Biomarker for Immunotherapy Treatment Outcome Prediction. Case-Study: Metastatic Urothelial Carcinoma. Journal of Imaging, 6(12):133, 2020.