| An empirical study on ensemble of segmentation approaches L Nanni, A Lumini, A Loreggia, A Formaggio, D Cuza Signals 3 (2), 341-358, 2022 | 15 | 2022 |
| Deep ensembles in bioimage segmentation L Nanni, D Cuza, A Lumini, A Loreggia, S Brahnam arXiv preprint arXiv:2112.12955, 2021 | 12 | 2021 |
| Polyp segmentation with deep ensembles and data augmentation L Nanni, D Cuza, A Lumini, A Loreggia, S Brahman Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image …, 2022 | 7 | 2022 |
| Deep ensembles in bioimage segmentation. arXiv 2021 L Nanni, D Cuza, A Lumini, A Loreggia, S Brahnam arXiv preprint arXiv:2112.12955, 0 | 5 | |
| Deep ensembles and data augmentation for semantic segmentation L Nanni, A Lumini, A Loreggia, S Brahnam, D Cuza Diagnostic Biomedical Signal and Image Processing Applications with Deep …, 2023 | 4 | 2023 |
| Building Ensemble of Resnet for Dolphin Whistle Detection L Nanni, D Cuza, S Brahnam Applied Sciences 13 (14), 8029, 2023 | 3 | 2023 |
| Data augmentation for deep ensembles in polyp segmentation L Nanni, D Cuza, A Lumini, S Brahnam Computational Intelligence Based Solutions for Vision Systems, 8-1-8-22, 2022 | 3 | 2022 |
| Deep Semantic Segmentation in Skin Detection. D Cuza, A Loreggia, A Lumini, L Nanni ESANN, 2022 | 1 | 2022 |
| Creazione di immagini artificiali per la segmentazione semantica negli esami di colonscopia. D CUZA | | |
| An Empirical Study on Segmentation Methods with Deep Ensembles and Data Augmentation D CUZA | | |
Loris NanniDipartimento di Ingegneria dell'Informazione - University of Padova (Padua) - ItalyVerified email at unipd.it
