Assegnista di ricerca
Settore scientifico disciplinare: 


  • Vallicelli, E., Baschirotto, A., Lehrack, S., Assmann, W., Parodi, K., Viola, S., et al. (2021). 22 dB Signal-to-Noise Ratio Real-Time Proton Sound Detector for Experimental Beam Range Verification. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, 68(1), 3-13. Dettaglio
  • Saggese, G., Tambaro, M., Vallicelli, E., Strollo, A., Vassanelli, S., Baschirotto, A., et al. (2021). Comparison of sneo-based neural spike detection algorithms for implantable multi-transistor array biosensors. ELECTRONICS, 10(4), 1-17. Dettaglio
  • Vallicelli, E., Turossi, D., Gelmi, L., Bau, A., Bertoni, R., Fulgione, W., et al. (2020). A 0.3nV/root Hz input-referred-noise analog front-end for radiation-induced thermo-acoustic pulses. INTEGRATION, 74, 11-18. Dettaglio
  • Vallicelli, E., Cosmi, M., Chirico, G., Collini, M., Baschirotto, A., & De Matteis, M. (2020). Photoacoustic Sensing Instrumentation using 70 W 905 nm Pulsed Laser Source for Proton-Induced Thermoacoustic Effect Emulation. In Proceedings of IEEE Sensors (pp.1-4). Institute of Electrical and Electronics Engineers Inc.. Dettaglio
  • Tambaro, M., Vallicelli, E., Saggese, G., Strollo, A., Baschirotto, A., & Vassanelli, S. (2020). Evaluation of in vivo spike detection algorithms for implantable MTA brain-silicon interfaces. JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, 10(3), 1-12. Dettaglio