| Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ... Medical Image Analysis 67, 101848, 2021 | 76 | 2021 |
| Network-based brain–computer interfaces: principles and applications J Gonzalez-Astudillo, T Cattai, G Bassignana, MC Corsi, FDV Fallani Journal of neural engineering 18 (1), 011001, 2021 | 43 | 2021 |
| Phase/amplitude synchronization of brain signals during motor imagery BCI tasks T Cattai, S Colonnese, MC Corsi, DS Bassett, G Scarano, FDV Fallani IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1168-1177, 2021 | 25 | 2021 |
| Characterization of mental states through node connectivity between brain signals T Cattai, S Colonnese, MC Corsi, DS Bassett, G Scarano, FDV Fallani 2018 26th European Signal Processing Conference (EUSIPCO), 1377-1381, 2018 | 14 | 2018 |
| Improving J-divergence of brain connectivity states by graph Laplacian denoising T Cattai, G Scarano, MC Corsi, DS Bassett, FDV Fallani, S Colonnese IEEE transactions on Signal and Information Processing over Networks 7, 493-508, 2021 | 12 | 2021 |
| A joint Markov model for communities, connectivity and signals defined over graphs S Colonnese, P Di Lorenzo, T Cattai, G Scarano, FDV Fallani IEEE Signal Processing Letters 27, 1160-1164, 2020 | 8 | 2020 |
| Green compressive sampling reconstruction in IoT networks S Colonnese, M Biagi, T Cattai, R Cusani, F De Vico Fallani, G Scarano Sensors 18 (8), 2735, 2018 | 4 | 2018 |
| EEG as signal on graph: a multilayer network model for BCI applications T Cattai, G Scarano, MC Corsi, FDV Fallani, S Colonnese 2022 30th European Signal Processing Conference (EUSIPCO), 932-936, 2022 | 3 | 2022 |
| VIPDA: A Visually Driven Point Cloud Denoising Algorithm Based on Anisotropic Point Cloud Filtering T Cattai, A Delfino, G Scarano, S Colonnese Frontiers in Signal Processing 2, 842570, 2022 | 3 | 2022 |
| Predicting the progression of mild cognitive impairment using machine learning: a systematic and quantitative review M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ... | 2 | 2019 |
| Deep Ll-PCA of time-variant data with application to brain connectivity measurements G Orrú, T Cattai, S Colonnese, G Scarano, FDV Fallani, P Markopoulos, ... 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 2 | 2019 |
| SWI-FEED: Smart Water IoT Framework for Evaluation of Energy and Data in Massive Scenarios A Pagano, D Garlisi, F Giuliano, T Cattai, F Cuomo arXiv preprint arXiv:2404.07692, 2024 | | 2024 |
| Medical Point Clouds Enhancement at the Network Edge P Giannitrapani, T Cattai, S Colonnese 2023 11th European Workshop on Visual Information Processing (EUVIP), 1-6, 2023 | | 2023 |
| Visually relevant point clouds features extraction by Radial Angular Point cloud filtering T Cattai, A Beghdadi, G Scarano, S Colonnese 2022 10th European Workshop on Visual Information Processing (EUVIP), 1-5, 2022 | | 2022 |
| Spatial network metrics for characterizing brain-computer interface mental states J Gonzalez-Astudillo, EG Ceballos-Dominguez, T Cattai, MC Corsi, ... NetSci 2021-International School and Conference on Network Science, 2021 | | 2021 |
| Functional Connectivity for BCI: OpenViBE implementation A Desbois, T Cattai, MC Corsi, F de Vico Fallani JJC-ICON’2021-Journée Jeunes Chercheurs en Interfaces Cerveau-Ordinateur et …, 2021 | | 2021 |
| Leveraging brain connectivity networks to detect mental states during motor imagery T Cattai Sorbonne Université; Università degli studi La Sapienza (Rome), 2021 | | 2021 |
| Towards the use of spatial network metrics for characterizing brain mental states J Gonzalez-Astudillo, T Cattai, MC Corsi, F de Vico Fallani CCS 2020-Conference on Complex Systems, 2020 | | 2020 |
| On the classification of mental states by means of network-based features J Gonzalez-Astudillo, T Cattai, MC Corsi, F de Vico Fallani NetSci 2020-International School and Conference on Network Science, 2020 | | 2020 |
| Combination of connectivity and spectral Features for motor-imagery BCI. T Cattai, S Colonnese, MC Corsi, DS Bassett, G Scarano, ... GBCIC, 2019 | | 2019 |
Marie-Constance CorsiInria research scientist, Paris Brain InstituteVerified email at icm-institute.org
