| Doom level generation using generative adversarial networks E Giacomello, PL Lanzi, D Loiacono 2018 IEEE Games, Entertainment, Media Conference (GEM), 316-323, 2018 | 57 | 2018 |
| Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI M Kirienko, M Sollini, G Ninatti, D Loiacono, E Giacomello, N Gozzi, ... European Journal of Nuclear Medicine and Molecular Imaging 48, 3791-3804, 2021 | 29 | 2021 |
| Searching the latent space of a generative adversarial network to generate doom levels E Giacomello, PL Lanzi, D Loiacono 2019 IEEE Conference on Games (CoG), 1-8, 2019 | 28 | 2019 |
| Doom level generation using generative adversarial networks. In 2018 IEEE Games, Entertainment, Media Conference (GEM), 316–323 E Giacomello, PL Lanzi, D Loiacono IEEE, 2018 | 21 | 2018 |
| Brain MRI tumor segmentation with adversarial networks E Giacomello, D Loiacono, L Mainardi 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 19 | 2020 |
| Image embeddings extracted from CNNS outperform other transfer learning approaches in classification of chest radiographs N Gozzi, E Giacomello, M Sollini, M Kirienko, A Ammirabile, P Lanzi, ... Diagnostics 12 (9), 2084, 2022 | 7 | 2022 |
| Image embedding and model ensembling for automated chest X-ray interpretation E Giacomello, PL Lanzi, D Loiacono, L Nassano 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Brain magnetic resonance imaging generation using generative adversarial networks E Alogna, E Giacomello, D Loiacono 2020 IEEE symposium series on computational intelligence (SSCI), 2528-2535, 2020 | 5 | 2020 |
| Transfer brain MRI tumor segmentation models across modalities with adversarial networks E Giacomello, D Loiacono, L Mainardi arXiv preprint arXiv:1910.02717, 2019 | 5 | 2019 |
| Brain MRI Tumor Segmentation with Adversarial Networks. arXiv 2019 E Giacomello, D LoIacono, L Mainardi arXiv preprint arXiv:1910.02717, 0 | 5 | |
| Image embeddings extracted from CNNs outperform other transfer learning approaches in chest radiographs’ classification N Gozzi, E Giacomello, M Sollini, M Kirienko, A Ammirabile, P Lanzi, ... | 1 | 2022 |
| Distributed learning approaches for automated chest x-ray diagnosis E Giacomello, M Cataldo, D Loiacono, PL Lanzi arXiv preprint arXiv:2110.01474, 2021 | 1 | 2021 |
| An analysis of DOOM level generation using Generative Adversarial Networks E Giacomello, PL Lanzi, D Loiacono Entertainment Computing 46, 100549, 2023 | | 2023 |
| Artificial Intelligence in Diagnostic Imaging M Sollini, D Loiacono, D Volpe, AG Levra, E Lomeo, E Giacomello, ... Radiology‐Nuclear Medicine Diagnostic Imaging: A Correlative Approach, 826-837, 2023 | | 2023 |
| Addressing collaborative machine learning challenges in medical imaging E Giacomello | | 2022 |
| PO-1641 Virtual brain MRI missing sequences creation using machine learning generative adversarial networks E Giacomello, D Dei, N Lambri, P Mancosu, D Loiacono Radiotherapy and Oncology 170, 1436-1438, 2022 | | 2022 |
| Classification of the image embeddings extracted from pretrained CNNs using tree-based models: a proof-of-concept study in medical imaging N Gozzi, E Giacomello, M Sollini, M Kirienko, C Jones, P Lanzi, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021 | | 2021 |
