Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment. - Filippo Martinini; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2021)

Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition. - Filippo Martinini; Andriy Enttsel; Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2022)

Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle. - Filippo Martinini; Andriy Enttsel; Alex Marchioni; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (BioCAS, 2022)

A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections. - Filippo Martinini; Mauro Mangia; Alex Marchioni; Riccardo Rovatti; Gianluca Setti (IEEE J. Sel. Top. Signal Process., 2022)

Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design. - Alex Marchioni; Filippo Martinini; Livia Manovi; Silvano Cortesi; Riccardo Rovatti; Gianluca Setti; Mauro Mangia (I2MTC, 2023)

Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors. - Andriy Enttsel; Filippo Martinini; Alex Marchioni; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (ICASSP, 2023)

Structured Pruning in Deep Neural Networks with Trainable Probability Masks. - Filippo Martinini; Andriy Enttsel; Alex Marchioni; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (MWSCAS, 2023)

SVD-based Peephole and Clustering to Enhance Trustworthiness in DNN Classifiers. - Livia Manovi; Lorenzo Capelli; Alex Marchioni; Filippo Martinini; Gianluca Setti; Mauro Mangia; Riccardo Rovatti (AICAS, 2024)

Incremental Undersampling MRI Acquisition With Neural Self Assessment. - Filippo Martinini; Mauro Mangia; Alex Marchioni; Gianluca Setti; Riccardo Rovatti (Signal Process., 2025)