DE BERNARDI ELISABETTA

Role
Tenured Assistant Professor  
Academic disciplines
Bioingegneria elettronica e informatica (ING-INF/06)
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

  • Cerina, V., Rui, C., DE BERNARDI, E., Moresco, R., Giussani, C., Basso, G., et al. (2024). Preliminary assessment of semiautomated segmentation tool for GBM neurosurgery: a BraTS-Toolkit approach. Intervento presentato a: 19th European Molecular Imaging Meeting - EMIM (European Society of Molecular Imaging - ESMI) - 12-15 March, Porto, Portugal. Detail

  • Maino, C., Vernuccio, F., Cannella, R., Franco, P., Giannini, V., Dezio, M., et al. (2024). Radiomics and liver: Where we are and where we are headed?. EUROPEAN JOURNAL OF RADIOLOGY, 171(February 2024) [10.1016/j.ejrad.2024.111297]. Detail

  • Cerina, V., Crivellaro, C., Morzenti, S., Pozzi, F., Bigiogera, V., Jonghi-Lavarini, L., et al. (2024). A ROI-based quantitative pipeline for 18F-FDG PET metabolism and pCASL perfusion joint analysis: Validation of the 18F-FDG PET line. HELIYON, 10(1) [10.1016/j.heliyon.2023.e23340]. Detail

  • Meazza Prina, M., Gotuzzo, I., Cazzaniga, M., De Bernardi, E., Cafaro, P., Capici, S., et al. (2023). Baseline 18FDG-PET Metabolic Tumour Volume (MTV) as a Potential Predictive Factor of Response to Metronomic Chemotherapy (mCHT) in HR+/HER2- Metastatic Breast Cancer (MBC) Patients (pts). Preliminary Results of the Metro-pet Study. Intervento presentato a: SABCS - San Antonio Breast Cancer Symposium - DEC 06-10, 2022, San Antonio, Texas, USA [10.1158/1538-7445.SABCS22-P6-01-42]. Detail

  • Bonaffini, P., De Bernardi, E., Corsi, A., Franco, P., Nicoletta, D., Muglia, R., et al. (2023). Towards the Definition of Radiomic Features and Clinical Indices to Enhance the Diagnosis of Clinically Significant Cancers in PI-RADS 4 and 5 Lesions. CANCERS, 15(20) [10.3390/cancers15204963]. Detail