Carlo Alberto Barbano

According to our database, Carlo Alberto Barbano authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Knowledge Transfer Across Modalities with Natural Language Supervision.

Carlo Alberto Barbano, Luca Molinaro, Emanuele Aiello, Marco Grangetto

CoRR, 2024

Say My Name: a Model's Bias Discovery Framework.

Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione

CoRR, 2024

Anatomical Foundation Models for Brain MRIs.

Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto

CoRR, 2024

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models.

Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves

CoRR, 2024

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray.

Guglielmo Gallone, Francesco Iodice, Alberto Presta, Davide Tore, Ovidio De Filippo, Michele Visciano, Carlo Alberto Barbano, Alessandro Serafini, Paola Gorrini, Alessandro Bruno, Walter Grosso Marra, James Hughes, Mario Iannaccone, Paolo Fonio, Attilio Fiandrotti, Alessandro Depaoli, Marco Grangetto, Gaetano Maria de Ferrari, Fabrizio D'Ascenzo

CoRR, 2024

Multi-target Stain Normalization for Histology Slides.

Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Marco Grangetto

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation.

Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Collateral-Free Learning of Deep Representations : From Natural Images to Biomedical Applications. (Apprentissage sans collatéral des représentations profondes : Des images naturelles aux applications biomédicales).

Carlo Alberto Barbano

PhD thesis, 2023

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging.

Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto

Proceedings of the Italia Intelligenza Artificiale, 2023

Artificial intelligence methods for biomedical imaging and omics data.

Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto

Proceedings of the Italia Intelligenza Artificiale, 2023

Contrastive Learning for Regression in Multi-Site Brain Age Prediction.

Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Integrating Prior Knowledge in Contrastive Learning with Kernel.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

Proceedings of the International Conference on Machine Learning, 2023

Unbiased Supervised Contrastive Learning.

Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Simplify: A Python library for optimizing pruned neural networks.

Andrea Bragagnolo, Carlo Alberto Barbano

SoftwareX, 2022

Rethinking Positive Sampling for Contrastive Learning with Kernel.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

CoRR, 2022

Unsupervised Learning of Unbiased Visual Representations.

Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

CoRR, 2022

A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images.

Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

UNITOPATHO.

Luca Bertero, Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Marco Grangetto, Attilio Fiandrotti, Alessandro Gambella, Luca Cavallo

Dataset, May, 2021

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images.

Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto

CoRR, 2021

Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading.

Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Bridging the gap between debiasing and privacy for deep learning.

Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

EnD: Entangling and Disentangling Deep Representations for Bias Correction.

Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data.

Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto

CoRR, 2020