Andrea Leo

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 17

Top Topics

Weakly Supervised

Activity Analysis

Top Venues

DART/FAIR@MICCAI

Publications

Andrea Leo, Giacomo Reatti, Stefano Arrigoni, Michael Khayyat, Federico Cheli
Development and Virtual Testing of 5G Connected Adaptive Cruise Control. CoRR (2022)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. IEEE Trans. Medical Imaging 40 (8) (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI (2021)
Monica Betta, Giacomo Handjaras, Andrea Leo, Alessandra Federici, Valentina Farinelli, Emiliano Ricciardi, Francesca Siclari, Stefano Meletti, Daniela Ballotta, Francesca Benuzzi, Giulio Bernardi
Cortical and subcortical hemodynamic changes during sleep slow waves in human light sleep. NeuroImage 236 (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. CoRR (2020)
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR (2019)
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI (2019)
Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino
Training of a Skull-Stripping Neural Network with efficient data augmentation. CoRR (2018)
Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta
Synthetic contrast enhancement in cardiac CT with Deep Learning. CoRR (2018)
Andrea Guidi, Alberto Greco, Federica Felici, Andrea Leo, Emiliano Ricciardi, Matteo Bianchi, Antonio Bicchi, Gaetano Valenza, Enzo Pasquale Scilingo
Heart rate variability analysis during muscle fatigue due to prolonged isometric contraction. EMBC (2017)
Alberto Greco, Andrea Guidi, Federica Felici, Andrea Leo, Emiliano Ricciardi, Matteo Bianchi, Antonio Bicchi, Luca Citi, Gaetano Valenza, Enzo Pasquale Scilingo
Muscle fatigue assessment through electrodermal activity analysis during isometric contraction. EMBC (2017)
Irfan Hussain, Emiliano Santarnecchi, Andrea Leo, Emiliano Ricciardi, Simone Rossi, Domenico Prattichizzo
A magnetic compatible supernumerary robotic finger for functional magnetic resonance imaging (fMRI) acquisitions: Device description and preliminary results. ICORR (2017)
Giacomo Handjaras, Emiliano Ricciardi, Andrea Leo, Alessandro Lenci, Luca Cecchetti, Mirco Cosottini, Giovanna Marotta, Pietro Pietrini
How concepts are encoded in the human brain: A modality independent, category-based cortical organization of semantic knowledge. NeuroImage 135 (2016)