The Motor Control of Hand Movements in the Human Brain: Toward the Definition of a Cortical Representation of Postural Synergies. - Andrea Leo; Giacomo Handjaras; Hamal Marino; Matteo Bianchi 002; Pietro Pietrini; Emiliano Ricciardi (Human and Robot Hands, 2016)

How concepts are encoded in the human brain: A modality independent, category-based cortical organization of semantic knowledge. - Giacomo Handjaras; Emiliano Ricciardi; Andrea Leo; Alessandro Lenci; Luca Cecchetti; Mirco Cosottini; Giovanna Marotta; Pietro Pietrini (NeuroImage, 2016)

Muscle fatigue assessment through electrodermal activity analysis during isometric contraction. - Alberto Greco 001; Andrea Guidi; Federica Felici; Andrea Leo; Emiliano Ricciardi; Matteo Bianchi 002; Antonio Bicchi; Luca Citi; Gaetano Valenza; Enzo Pasquale Scilingo (EMBC, 2017)

Heart rate variability analysis during muscle fatigue due to prolonged isometric contraction. - Andrea Guidi; Alberto Greco 001; Federica Felici; Andrea Leo; Emiliano Ricciardi; Matteo Bianchi 002; Antonio Bicchi; Gaetano Valenza; Enzo Pasquale Scilingo (EMBC, 2017)

A magnetic compatible supernumerary robotic finger for functional magnetic resonance imaging (fMRI) acquisitions: Device description and preliminary results. - Irfan Hussain; Emiliano Santarnecchi; Andrea Leo; Emiliano Ricciardi; Simone Rossi 002; Domenico Prattichizzo (ICORR, 2017)

Synthetic contrast enhancement in cardiac CT with Deep Learning. - Gianmarco Santini; Lorena M. Zumbo; Nicola Martini; Gabriele Valvano; Andrea Leo; Andrea Ripoli; Francesco Avogliero; Dante Chiappino; Daniele Della Latta (CoRR, 2018)

Training of a Skull-Stripping Neural Network with efficient data augmentation. - Gabriele Valvano; Nicola Martini; Andrea Leo; Gianmarco Santini; Daniele Della Latta; Emiliano Ricciardi; Dante Chiappino (CoRR, 2018)

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. - Gabriele Valvano; Agisilaos Chartsias; Andrea Leo; Sotirios A. Tsaftaris (DART/MIL3ID@MICCAI, 2019)

Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (CoRR, 2020)

Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (DART/FAIR@MICCAI, 2021)

Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (DART/FAIR@MICCAI, 2021)

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (CoRR, 2021)

Cortical and subcortical hemodynamic changes during sleep slow waves in human light sleep. - Monica Betta; Giacomo Handjaras; Andrea Leo; Alessandra Federici; Valentina Farinelli; Emiliano Ricciardi; Francesca Siclari; Stefano Meletti; Daniela Ballotta; Francesca Benuzzi; Giulio Bernardi 002 (NeuroImage, 2021)

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2021)

Development and Virtual Testing of 5G Connected Adaptive Cruise Control. - Andrea Leo; Giacomo Reatti; Stefano Arrigoni; Michael Khayyat; Federico Cheli (CoRR, 2022)