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Del Corso, G., Pachetti, E., ... & ProCAncer-I Consortium. (2024, May). Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). IEEE.

Colantonio, S., Berti, A., Buongiorno, R., Del Corso, G., Pachetti, E., Pascali, M. A., ... & Tsiknakis, M. (2023, December). AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency. In 2023 IEEE EMBS Special Topi

Pachetti, E., & Colantonio, S. (2024). Hallucinating for Diagnosing: One-Shot Medical Image Classification Leveraging Score-Based Generative Models. In Medical Imaging with Deep Learning.

Pachetti, E. & Colantonio, S. (2024). Seeing More with Less: Meta-Learning and Diffusion Models for Tumor Characterization in Low-data Settings

Pachetti, E., Tsaftaris, S. A., & Colantonio, S. (2024). Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. arXiv preprint arXiv:2403.17530.

Pachetti, E., Del Corso, G., Bardelli, S., & Colantonio, S. (2024). Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment. Journal of Imaging, 10(7).

Xue, Y., Du, Y., Carloni, G., Pachetti, E., Jordan, C., Tsaftaris, S.A. (2024). Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart.

Pachetti, E., & Colantonio, S. (2024). A systematic review of few-shot learning in medical imaging. Artificial Intelligence in Medicine, 102949.

Carloni, G., Pachetti, E., & Colantonio, S. (2023). Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2616-2624).

Pachetti, E.; Colantonio, S. 3D-Vision-Transformer Stacking Ensemble for Assessing Prostate Cancer Aggressiveness from T2w Images. Bioengineering 2023, 10, 1015.

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