Nicolo Pecco

PhD in Neuroscience and Experimental Neurology from Vita e salute San Raffaele specializing in the development of deep and machine learning models for analyzing MRI brain tumors and functional neurodevelopment data. Master's degree in Biomedical Engineering and licensed as Profession Engineer. Extremely interested in science and Artificial Intelligence algorithms and motivated to constantly develop new skills in this field. Different international Experiences during my university career. Excellent ability to organize, meet deadlines and able to work individually and in groups.

Date of Birth: 08/05/94

Nationality: Italiana

Hobbies: Music, Football

Languages: English and Italian

Della Rosa, Pasquale Anthony, et al. "The Neurodevelopmental Dynamics of Multilingual Experience During Childhood: A Longitudinal Behavioral, Structural, and Functional MRI Study." Brain Sciences 15.1 (2025): 54.

Canini, Matteo, et al. "Functional connectivity markers of prematurity at birth predict neurodevelopmental outcomes at 6, 12, 24, and 36 months." International Journal of Behavioral Development (2025): 01650254241312136.

Miglioli, Cesare, et al. "The maternal-fetal neurodevelopmental groundings of preterm birth risk." Heliyon 10.7 (2024).

Canini, Matteo, et al. "Maternal anxiety‐driven modulation of fetal limbic connectivity designs a backbone linking neonatal brain functional topology to socio‐emotional development in early childhood." Journal of Neuroscience Research 101.9 (2023): 1484-1503.

Vola, Elena A., et al. "Complete agenesis of corpus callosum and unilateral cortical formation anomalies detected on fetal MR imaging: a phenotype strongly associated with the male fetuses." European radiology 33.3 (2023): 2258-2265.

Pecco, Nicolò, et al. "RS-FetMRI: a MATLAB-SPM based tool for pre-processing fetal resting-state fMRI data." Neuroinformatics20.4 (2022): 1137-1154.

Pecco, Nicolò, et al. "Optimizing Performance of Transformer-based Models for Fetal Brain MR Image Segmentation." Radiology: Artificial Intelligence 6.6 (2024): e230229.

Bailo, Michele, et al. "Decoding the heterogeneity of malignant gliomas by PET and MRI for spatial habitat analysis of hypoxia, perfusion, and diffusion imaging: a preliminary study." Frontiers in Neuroscience 16 (2022): 885291.

Sciortino, Tommaso, et al. "Raman spectroscopy and machine learning for IDH genotyping of unprocessed glioma biopsies." Cancers 13.16 (2021): 4196.