Filippo research interests encompass neural networks and accelerated MRI acquisition, alongside contributions in the domain of ECG signal encoding and anomaly detection, as evidenced by publications.
Publications:
• F. Martinini et al., ”Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition,” 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), Taipei, Taiwan, 2022, pp. 665-669, doi: 10.1109/BioCAS54905.2022.9948688.
• F. Martinini, A. Enttsel, A. Marchioni, M. Mangia, R. Rovatti and G. Setti, ”Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle,” 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), Taipei, Taiwan, 2022, pp. 660-664, doi: 10.1109/BioCAS54905.2022.9948666.
• F. Martinini, M. Mangia, A. Marchioni, R. Rovatti and G. Setti, ”A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections,” in IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 4, pp. 713-724, June 2022, doi: 10.1109/JSTSP.2022.3171082.
• F. Martinini, M. Mangia, F. Pareschi, R. Rovatti and G. Setti, ”Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment”, 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), Berlin, Germany, 2021, pp. 01-06, doi: 10.1109/BioCAS49922.2021.9644958.
• A. Enttsel, F. Martinini, A. Marchioni, M. Mangia, R. Rovatti and G. Setti, ”Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors,” ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095287.
