| Unitopatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading CA Barbano, D Perlo, E Tartaglione, A Fiandrotti, L Bertero, P Cassoni, ... 2021 IEEE International Conference on Image Processing (ICIP), 76-80, 2021 | 38 | 2021 |
| Modificatory provisions detection: a hybrid NLP approach D Gianfelice, L Lesmo, M Palmirani, D Perlo, DP Radicioni Proceedings of the Fourteenth International Conference on Artificial …, 2013 | 17 | 2013 |
| Post-synaptic potential regularization has potential E Tartaglione, D Perlo, M Grangetto International Conference on Artificial Neural Networks, 187-200, 2019 | 16* | 2019 |
| Applications of ai and hpc in the health domain D Oniga, B Cantalupo, E Tartaglione, D Perlo, M Grangetto, M Aldinucci, ... HPC, Big Data, and AI Convergence Towards Exascale, 217-239, 2022 | 13* | 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 | 12 | 2022 |
| UniToBrain dataset: a brain perfusion dataset D Perlo, E Tartaglione, U Gava, F D’Agata, E Benninck, M Bergui International Conference on Image Analysis and Processing, 498-509, 2022 | 11* | 2022 |
| Dysplasia grading of colorectal polyps through convolutional neural network analysis of whole slide images D Perlo, E Tartaglione, L Bertero, P Cassoni, M Grangetto International Conference on Medical Imaging and Computer-Aided Diagnosis …, 2021 | 7 | 2021 |
| 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 |
| Virtual Reality Interface for Multidisciplinary Physical Analysis of Space Vehicles. AM Soccini, M Marello, N Balossino, C Bar, V Basso, M Lucenteforte, ... EuroVr, 2014 | 4 | 2014 |
| Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI G Kanli, D Perlo, S Boudissa, R Jiřík, O Keunen International Workshop on Machine Learning in Medical Imaging, 228-237, 2024 | 1 | 2024 |
| Addressing artefacts in anatomical MR images: a k-space-based approach S Boudissa, G Kanli, D Perlo, T Jaquet, O Keunen 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 1 | 2024 |
| Predicting Hypoxia in Brain Tumors from Multiparametric MRI D Perlo, G Kanli, S Boudissa, O Keunen arXiv preprint arXiv:2401.14171, 2024 | 1 | 2024 |
| Unitopatho L Bertero, CA Barbano, D Perlo, E Tartaglione, P Cassoni, M Grangetto, ... IEEE Dataport, 2021 | 1 | 2021 |
| Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors D Perlo, G Kanli, S Boudissa, O Keunen MICCAI Workshop on Deep Generative Models, 119-128, 2024 | | 2024 |
| Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification D Perlo, L Berton, A Delpiano, F Menchini, S Tibaldi, M Grosso, P Fonio 2022 IEEE International Conference on Big Data (Big Data), 4425-4433, 2022 | | 2022 |
| AI for health and well-being: from biomedical images to healthcare process management passing by virtual dietitian L Anselma, R Aringhieri, C Barbano, G Boella, L Di Caro, M Grangetto, ... | | 2022 |
| PhD Thesis: Deep Learning for medical imaging: perspectives from real use cases D Perlo UniTo - Department of Computer Science, 2021 | | 2021 |
| UniToBrain Dataset U Gava, F D'Agata, E Bennink, E Tartaglione, D Perlo, A Vernone, ... ZENODO, 2021 | | 2021 |
Marco GrangettoFull Professor, Università di TorinoVerified email at unito.it
