| A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data T Azevedo, A Campbell, R Romero-Garcia, L Passamonti, RAI Bethlehem, ... Medical Image Analysis 79, 102471, 2022 | 67 | 2022 |
| Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review RJ Borchert, T Azevedo, AP Badhwar, J Bernal, M Betts, R Bruffaerts, ... Alzheimer's & Dementia 19 (12), 5885-5904, 2023 | 54 | 2023 |
| Integration of machine learning methods to dissect genetically imputed transcriptomic profiles in Alzheimer’s disease C Maj, T Azevedo, V Giansanti, O Borisov, GM Dimitri, S Spasov, ... Frontiers in genetics 10, 726, 2019 | 29 | 2019 |
| Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients E Zago, A Dal Molin, GM Dimitri, L Xumerle, C Pirazzini, MG Bacalini, ... Scientific reports 12 (1), 1330, 2022 | 25 | 2022 |
| Deep Learning Enables Fast and Accurate Imputation of Gene Expression R Viñas, T Azevedo, ER Gamazon, P Liò Frontiers in Genetics 12, 2021 | 25* | 2021 |
| Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts T Azevedo, R de Jong, M Mattina, P Maji arXiv preprint arXiv:2009.02967, 2020 | 24 | 2020 |
| JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control T Azevedo, PJM de Araújo, RJF Rossetti, AP Rocha Proceedings of the 8th International Workshop on Agents in Traffic and …, 2014 | 21 | 2014 |
| Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification SA Tailor, R de Jong, T Azevedo, M Mattina, P Maji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| Population graph GNNs for brain age prediction K Stankeviciute, T Azevedo, A Campbell, R Bethlehem, P Lio ICML Workshop on Graph Representation Learning and Beyond (GRL+), 17-83, 2020 | 20* | 2020 |
| A geroscience approach for Parkinson’s disease: Conceptual framework and design of PROPAG-AGEING project C Pirazzini, T Azevedo, L Baldelli, A Bartoletti-Stella, ... Mechanisms of Ageing and Development 194, 111426, 2021 | 19 | 2021 |
| Towards a predictive spatio-temporal representation of brain data T Azevedo, L Passamonti, P Lio, N Toschi arXiv preprint arXiv:2003.03290, 2020 | 14 | 2020 |
| Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits T Azevedo, GM Dimitri, P Lió, ER Gamazon NPJ systems biology and applications 7 (1), 24, 2021 | 12 | 2021 |
| A deep spatiotemporal graph learning architecture for brain connectivity analysis T Azevedo, L Passamonti, P Lio, N Toschi 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
| A novel Graph Attention Network Architecture for modeling multimodal brain connectivity AC Filip, T Azevedo, L Passamonti, N Toschi, P Lio 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
| On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications J Rock, T Azevedo, R de Jong, D Ruiz-Muñoz, P Maji arXiv preprint arXiv:2111.09838, 2021 | 9 | 2021 |
| Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank T Azevedo, RAI Bethlehem, DJ Whiteside, N Swaddiwudhipong, JB Rowe, ... medRxiv, 2022.01. 05.22268795, 2022 | 8* | 2022 |
| A machine learning tool for interpreting differences in cognition using brain features T Azevedo, L Passamonti, P Lió, N Toschi Artificial Intelligence Applications and Innovations: 15th IFIP WG 12.5 …, 2019 | 8 | 2019 |
| A State-of-the-art Integrated Transportation Simulation Platform T Azevedo, RJF Rossetti, JG Barbosa Proceedings of the 4th International Conference on Models and Technologies …, 2015 | 8 | 2015 |
| Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA T Azevedo, RJF Rossetti, JG Barbosa Proceedings of the 5th International Conference on Simulation and Modeling …, 2015 | 3 | 2015 |
| Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks A Barucci, G Ciacci, P Liò, T Azevedo, A Di Cencio, M Merella, G Bianucci, ... arXiv preprint arXiv:2405.04189, 2024 | 2 | 2024 |
Pietro LiòProfessor, University of CambridgeEmail verificata su cam.ac.uk