| An efficient reasoner for description logics of typicality and rational closure L Giordano, V Gliozzi, GL Pozzato, R Renzulli CEUR Workshop Proceedings 1879, 1-13, 2017 | 22 | 2017 |
| LSVL: Large-scale season-invariant visual localization for UAVs J Kinnari, R Renzulli, F Verdoja, V Kyrki Robotics and Autonomous Systems 168, 104497, 2023 | 8 | 2023 |
| Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke UA Gava, F D’agata, E Tartaglione, R Renzulli, M Grangetto, F Bertolino, ... Frontiers in Neuroinformatics 17, 852105, 2023 | 5 | 2023 |
| Lung nodules segmentation with deephealth toolkit HAH Chaudhry, R Renzulli, D Perlo, F Santinelli, S Tibaldi, C Cristiano, ... International Conference on Image Analysis and Processing, 487-497, 2022 | 5 | 2022 |
| Unitochest: A lung image dataset for segmentation of cancerous nodules on ct scans HAH Chaudhry, R Renzulli, D Perlo, F Santinelli, S Tibaldi, C Cristiano, ... International Conference on Image Analysis and Processing, 185-196, 2022 | 5 | 2022 |
| REM: Routing entropy minimization for capsule networks R Renzulli, E Tartaglione, M Grangetto arXiv preprint arXiv:2204.01298, 2022 | 4 | 2022 |
| Towards efficient capsule networks R Renzulli, M Grangetto 2022 IEEE International Conference on Image Processing (ICIP), 2801-2805, 2022 | 3 | 2022 |
| Shannon strikes again! entropy-based pruning in deep neural networks for transfer learning under extreme memory and computation budgets G Spadaro, R Renzulli, A Bragagnolo, JH Giraldo, A Fiandrotti, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Capsule networks with routing annealing R Renzulli, E Tartaglione, A Fiandrotti, M Grangetto International Conference on Artificial Neural Networks, 529-540, 2021 | 2 | 2021 |
| RAT-OWL: Reasoning with rational closure in description logics of typicality L Giordano, V Gliozzi, GL Pozzato, R Renzulli CEUR Workshop Proceedings 1949, 306-320, 2017 | 1 | 2017 |
| Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models C Patrício, CA Barbano, A Fiandrotti, R Renzulli, M Grangetto, LF Teixeira, ... arXiv preprint arXiv:2406.00772, 2024 | | 2024 |
| AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation CA Barbano, R Renzulli, M Grosso, D Basile, M Busso, M Grangetto arXiv preprint arXiv:2405.11598, 2024 | | 2024 |
| Hierarchical Object-Centric Learning with Capsule Networks R Renzulli arXiv preprint arXiv:2405.19861, 2023 | | 2023 |
| Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble F Di Sario, R Renzulli, E Tartaglione, M Grangetto International Conference on Image Analysis and Processing, 320-331, 2023 | | 2023 |
| Artificial intelligence methods for biomedical imaging and omics data CA Barbano, M Beccuti, F Cordero, DN Ivanov, N Licheri, S Pernice, ... CEUR WORKSHOP PROCEEDINGS 3486, 154-159, 2023 | | 2023 |
| Lung nodules segmentation from CT with DeepHealth toolkit H Ayesha Hoor Chaudhry, R Renzulli, D Perlo, F Santinelli, S Tibaldi, ... arXiv e-prints, arXiv: 2208.00641, 2022 | | 2022 |
| Giordano, Laura; Gliozzi, Valentina; Pozzato, Gian Luca; Renzulli, Riccardo L Giordano, V Gliozzi, G Pozzato, R Renzulli CEUR WORKSHOP PROCEEDINGS 1879, 2017 | | 2017 |
| Lung nodules segmentation in CT scans by DeepHealth toolkit M Aldinucci, B Cantalupo, I Colonnelli, M Grangetto, R Renzulli, ... | | |
