| Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data E Tartaglione, CA Barbano, C Berzovini, M Calandri, M Grangetto International Journal of Environmental Research and Public Health 17 (18), 6933, 2020 | 213 | 2020 |
| EnD: Entangling and Disentangling deep representations for bias correction E Tartaglione, CA Barbano, M Grangetto IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 103 | 2021 |
| 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, ... IEEE International Conference on Image Processing (ICIP), 2021, 2021 | 22 | 2021 |
| Unbiased Supervised Contrastive Learning CA Barbano, B Dufumier, E Tartaglione, M Grangetto, P Gori The Eleventh International Conference on Learning Representations (ICLR), 2023, 2022 | 18 | 2022 |
| Bridging the gap between debiasing and privacy for deep learning CA Barbano, E Tartaglione, M Grangetto Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Simplify: A python library for optimizing pruned neural networks A Bragagnolo, CA Barbano SoftwareX 17, 100907, 2022 | 12 | 2022 |
| A two-step radiologist-like approach for covid-19 computer-aided diagnosis from chest x-ray images CA Barbano, E Tartaglione, C Berzovini, M Calandri, M Grangetto International Conference on Image Analysis and Processing, 173-184, 2022 | 10 | 2022 |
| Contrastive learning for regression in multi-site brain age prediction CA Barbano, B Dufumier, E Duchesnay, M Grangetto, P Gori International Symposium on Biomedical Imaging (ISBI), 2023, 2022 | 9 | 2022 |
| Integrating Prior Knowledge in Contrastive Learning with Kernel B Dufumier, CA Barbano, R Louiset, E Duchesnay, P Gori 40th International Conference on Machine Learning (ICML), 2023, 2023 | 8* | 2023 |
| Unitopatho L Bertero, CA Barbano, D Perlo, E Tartaglione, P Cassoni, M Grangetto, ... IEEE Dataport, 2021 | 1 | 2021 |
| Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray G Gallone, F Iodice, A Presta, D Tore, O de Filippo, M Visciano, ... arXiv preprint arXiv:2403.18756, 2024 | | 2024 |
| Collateral-Free Learning of Deep Representations: From Natural Images to Biomedical Applications CA Barbano Institut Polytechnique de Paris; Università di Torino (Turin, Italie), 2023 | | 2023 |
| Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging CA Barbano, E Duchesnay, B Dufumier, P Gori, M Grangetto CEUR WORKSHOP PROCEEDINGS 3486, 318-323, 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 |
| Unsupervised Learning of Unbiased Visual Representations CA Barbano, E Tartaglione, M Grangetto arXiv preprint arXiv:2204.12941, 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, ... | | |
| Ongoing Research Projects on Responsible and Trustworthy AI at Università di Torino R Damiano, A Lieto, GL Pozzato, CA Barbano, E Tartaglione, M Grangetto, ... | | |
| EnD: Entangling and Disentangling deep representations for bias correction Supplementary material E Tartaglione, CA Barbano, M Grangetto | | |
Marco GrangettoFull Professor, Università di TorinoVerified email at unito.it
