Unsupervised Learning of Unbiased Visual Representations
Carlo Barbano, Enzo Tartaglione, Marco Grangetto, "Unsupervised Learning of Unbiased Visual Representations." IEEE Transactions on Artificial Intelligence (TAI), 2024.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Multi-target stain normalization for histology slides
Desislav Ivanov, Carlo Barbano, Marco Grangetto, "Multi-target stain normalization for histology slides." In the proceedings of 2nd International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis (MOVI 2024), 2024.
Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings
Carlo Barbano, Luca Berton, Riccardo Renzulli, Davide Tricarico, Osvaldo Rampado, Domenico Basile, Marco Busso, Marco Grosso, Marco Grangetto, "Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings." Computational and Structural Biotechnology Journal, 2024.
AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation
Carlo Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto, "AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation." In the proceedings of 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024.
Unbiased Supervised Contrastive Learning
Carlo Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori, "Unbiased Supervised Contrastive Learning." In the proceedings of The Eleventh International Conference on Learning Representations, 2023.
Integrating Prior Knowledge in Contrastive Learning with Kernel
Benoit Dufumier, Carlo Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori, "Integrating Prior Knowledge in Contrastive Learning with Kernel." In the proceedings of Proceedings of the 40th International Conference on Machine Learning, 2023.
Contrastive learning for regression in multi-site brain age prediction
Carlo Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori, "Contrastive learning for regression in multi-site brain age prediction." In the proceedings of 2023 IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
Simplify: A python library for optimizing pruned neural networks
Andrea Bragagnolo, Carlo Barbano, "Simplify: A python library for optimizing pruned neural networks." SoftwareX, 2022.
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
Carlo Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto, "A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images." In the proceedings of Image Analysis and Processing--ICIAP 2022: 21st International Conference, Lecce, Italy, May 23--27, 2022, Proceedings, Part I, 2022.
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Carlo Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto, "UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading." In the proceedings of IEEE International Conference on Image Processing (ICIP), 2021, 2021.
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione, Carlo Barbano, Marco Grangetto, "EnD: Entangling and Disentangling deep representations for bias correction." In the proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021.
Bridging the gap between debiasing and privacy for deep learning
Carlo Barbano, Enzo Tartaglione, Marco Grangetto, "Bridging the gap between debiasing and privacy for deep learning." In the proceedings of 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021.
Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data
Enzo Tartaglione, Carlo Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto, "Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data." International Journal of Environmental Research and Public Health, 2020.
Talks
Teaching
Service and leadership
- Currently signed in to 43 different slack teams