DE BERNARDI ELISABETTA

Role
Tenured Assistant Professor  
Academic disciplines
Bioengineering (IBIO-01/A)
Scientific-Disciplinary Group:
BIOENGINEERING (09/IBIO-01)
Office phone
Room:
  • U48, Floor: 1I, Room: 115
  • U28, Floor: 0, Room: T021

Biography

2002 Degree in Biomedical Engineering, Politecnico di Milano

2007 PhD in Bioengineering, Politecnico di Milano

2007-2011 Research fellow, Politecnico di Milano

since 11/2011 Assistant Professor SSD ING-INF/06, Università di Milano Bicocca

Research

Research topics: biomedical image reconstruction, segmentation and quantification; radiomics and deep radiomics.

Publications

  • Viganò, S., Bonaffini, P., De Bernardi, E., Corsi, A., Bandini, C., Piccin, E., et al. (2026). Radiomic analysis of contrast-enhanced CT for the prediction of microvascular invasion in hepatocellular carcinoma: literature analysis and practical challenges. BJR|OPEN, 8(1) [10.1093/bjro/tzaf032]. Detail

  • Monaco, L., Crivellaro, C., De Bernardi, E., Bono, F., Casati, G., Seminati, D., et al. (2025). Next-generation radiomic sequencing in non-small cell lung cancer: an alternative model to predict mutations from [18F]FDG PET/CT. THERAPEUTIC ADVANCES IN RESPIRATORY DISEASE, 19 [10.1177/17534666251384433]. Detail

  • Foglia, B., Gianoli, C., De Bernardi, E., Masuda, T., Du, T., Bortfeld, T., et al. (2025). Implementation and 3D extension of dose reconstruction strategies from prompt-gamma emissions in proton therapy. PHYSICS IN MEDICINE & BIOLOGY, 70(23) [10.1088/1361-6560/ae1fcb]. Detail

  • Cerina, V., Pozzi, F., De Bernardi, E., Crivellaro, C., Moresco, R., Ferrarese, C., et al. (2025). Identification of Alzheimer’s disease with 18F-FDG-PET and MRI pCASL in MCI and SCD subjects: the CAPE study. Intervento presentato a: NeuroMI 2025 International Meeting: “Artificial Intelligence for Neuroscience: from basic research to clinical practice“, October 15-17, 2025, Milano, Italia. Detail

  • Cerina, V., Rui, C., Di Cristofori, A., Ferlito, D., Carrabba, G., Giussani, C., et al. (2025). Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas. SCIENTIFIC REPORTS, 15(1) [10.1038/s41598-025-85400-9]. Detail

Research projects

Advanced diffusion and perfusion MRI
Year: 2022
Call: Bando PRIN 2022
Grantors: MINISTERO DELL'UNIVERSITA' E DELLA RICERCA (MUR)