Project Manager presso CDI Centro Diagnostico Italiano S.p.A.
Formazione:
- Dottorato di Ricerca in Data Science presso l’Università degli Studi di Milano, Milano, Italia
- Laurea Magistrale in Informatica Medica presso l’Università Tarbiat Modares, Teheran, Iran
- Laurea in Ingegneria del Software presso la Payame Noor University, Isfahan, Iran
Pubblicazioni:
- Fouladi, S., Safaei, A.A., Mammone, N. et al. Efficient Deep Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from Scalp EEG Recordings. Cogn Comput 14, 1247–1268 (2022). https://doi.org/10.1007/s12559-022-10033-3
- S. Fouladi, M. J. Ebadi, A. A. Safaei, M. Y. Bajuri, and A. Ahmadian, “Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio,” Comput. Commun., vol. 176, pp. 234–248, 2021, doi: 10.1016/j.comcom.2021.06.011.
- Fouladi, S., Darvizeh, F., Gianini, G. et al. Exploring UNet-based models for prostate lesion segmentation from multi-sequence MRI (T2W, ADC, DWI). World Wide Web 29, 4 (2026). https://doi.org/10.1007/s11280-025-01392-6
- Fouladi S, Di Palma L, Darvizeh F, Fazzini D, Maiocchi A, Papa S, Gianini G, Alì M. Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging. Information. 2025; 16(3):186. https://doi.org/10.3390/info16030186
- Fouladi, S. et al. (2027). A Hybrid LSTM-UNet Architecture for Segmentation of MRI Prostatic Lesion Images. In: Chbeir, R., et al. Management of Digital EcoSystems. MEDES 2025. Communications in Computer and Information Science, vol 3103. Springer, Cham. https://doi.org/10.1007/978-3-032-36547-7_28