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publications
Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data
Published in International Journal of Environmental Research and Public Health, 2020
Recommended citation: 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.
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Bridging the gap between debiasing and privacy for deep learning
Published in In the proceedings of 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Recommended citation: 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.
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EnD: Entangling and Disentangling deep representations for bias correction
Published in In the proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
Recommended citation: 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.
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UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Published in In the proceedings of IEEE International Conference on Image Processing (ICIP), 2021, 2021
Recommended citation: 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.
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A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
Published in In the proceedings of Image Analysis and Processing--ICIAP 2022: 21st International Conference, Lecce, Italy, May 23--27, 2022, Proceedings, Part I, 2022
Recommended citation: 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.
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Simplify: A python library for optimizing pruned neural networks
Published in SoftwareX, 2022
Recommended citation: Andrea Bragagnolo, Carlo Barbano, "Simplify: A python library for optimizing pruned neural networks." SoftwareX, 2022.
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Contrastive learning for regression in multi-site brain age prediction
Published in In the proceedings of 2023 IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Recommended citation: 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.
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Integrating Prior Knowledge in Contrastive Learning with Kernel
Published in In the proceedings of Proceedings of the 40th International Conference on Machine Learning, 2023
Recommended citation: 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.
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Unbiased Supervised Contrastive Learning
Published in In the proceedings of The Eleventh International Conference on Learning Representations, 2023
Recommended citation: 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.
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AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation
Published in In the proceedings of 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024
Recommended citation: 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.
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Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings
Published in Computational and Structural Biotechnology Journal, 2024
Recommended citation: 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.
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Multi-target stain normalization for histology slides
Published in In the proceedings of 2nd International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis (MOVI 2024), 2024
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Recommended citation: 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.
Unsupervised Learning of Unbiased Visual Representations
Published in IEEE Transactions on Artificial Intelligence (TAI), 2024
Recommended citation: Carlo Barbano, Enzo Tartaglione, Marco Grangetto, "Unsupervised Learning of Unbiased Visual Representations." IEEE Transactions on Artificial Intelligence (TAI), 2024.
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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