| 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 | 237 | 2020 |
| EnD: Entangling and Disentangling deep representations for bias correction. E Tartaglione, CA Barbano, M Grangetto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 141 | 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 | 40 | 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 | 36 | 2022 |
| Simplify: A Python library for optimizing pruned neural networks A Bragagnolo, CA Barbano SoftwareX 17, 100907, 2022 | 22 | 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 | 19 | 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 | 17* | 2023 |
| 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 | 16 | 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 | 12 | 2021 |
| Say My Name: a Model's Bias Discovery Framework M Ciranni, L Molinaro, CA Barbano, A Fiandrotti, V Murino, VP Pastore, ... arXiv preprint arXiv:2408.09570, 2024 | 2 | 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 International Symposium on Biomedical Imaging (ISBI), 2024, 2024 | 2 | 2024 |
| Anatomical Foundation Models for Brain MRIs CA Barbano, M Brunello, B Dufumier, M Grangetto arXiv preprint arXiv:2408.07079, 2024 | 1 | 2024 |
| Multi-target stain normalization for histology slides D Ivanov, CA Barbano, M Grangetto 2nd International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2024 | 1 | 2024 |
| Unitopatho L Bertero, CA Barbano, D Perlo, E Tartaglione, P Cassoni, M Grangetto, ... IEEE Dataport, 2021 | 1 | 2021 |
| Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings CA Barbano, L Berton, R Renzulli, D Tricarico, O Rampado, D Basile, ... Computational and Structural Biotechnology Journal 24, 754-761, 2024 | | 2024 |
| Knowledge Transfer Across Modalities with Natural Language Supervision CA Barbano, L Molinaro, E Aiello, M Grangetto arXiv preprint arXiv:2411.15611, 2024 | | 2024 |
| 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 |
| 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 |
| Unsupervised Learning of Unbiased Visual Representations CA Barbano, E Tartaglione, M Grangetto IEEE Transactions on Artificial Intelligence (TAI), 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 |
Marco GrangettoFull Professor, Università di Torinoبريد إلكتروني تم التحقق منه على unito.it
