| Quantifying the magnitude of pharyngeal obstruction during sleep using airflow shape DL Mann, PI Terrill, A Azarbarzin, S Mariani, A Franciosini, A Camassa, ... European Respiratory Journal 54 (1), 2019 | 49 | 2019 |
| Sparse deep predictive coding captures contour integration capabilities of the early visual system V Boutin, A Franciosini, F Chavane, F Ruffier, L Perrinet PLoS computational biology 17 (1), e1008629, 2021 | 28 | 2021 |
| Effect of top-down connections in Hierarchical Sparse Coding V Boutin, A Franciosini, F Ruffier, L Perrinet Neural Computation 32 (11), 2279-2309, 2020 | 14 | 2020 |
| Validating an algorithm for automatic scoring of Inspiratory Flow Limitation within a range of recording settings A Camassa, A Franciosini, SA Sands, YX Zhi, A Yadollahi, AM Bianchi, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 7 | 2018 |
| Pooling in a predictive model of V1 explains functional and structural diversity across species A Franciosini, V Boutin, F Chavane, LU Perrinet Biorxiv, 2021.04. 19.440444, 2021 | 3 | 2021 |
| Quantifying the severity of pharyngeal airflow obstruction using polysomnography D Mann, A Azarbarzin, S Mariani, A Franciosini, A Camassa, ... C98. SLEEP PHENOTYPES, GENETICS, AND BIOMARKERS: NOVEL INSIGHTS, A5935-A5935, 2018 | 1 | 2018 |
| Non-invasive quantification of airflow obstruction severity D Mann, A Azarbarzin, S Mariani, A Franciosini, A Camassa, M Marques, ... Journal of Sleep Research 27, 2018 | | 2018 |
| Air flow limitation: developing an efficient detection algorithm and establishing recording standards A CAMASSA, A FRANCIOSINI Politecnico di Milano, 2015 | | 2015 |
Alessandra CamassaSalk Institute for Biological StudiesVerified email at salk.edu
