Carlo Alberto Barbano

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Visual Representations

Cervical Cancer

Unsupervised Learning

Biomedical Imaging

Top Venues

Publications

Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR (2024)
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
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. CoRR (2024)
Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Marco Grangetto
Multi-target stain normalization for histology slides. CoRR (2024)
Carlo Alberto 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. CoRR (2024)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI (2023)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. ICLR (2023)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML (2023)
Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto
Artificial intelligence methods for biomedical imaging and omics data. Ital-IA (2023)
Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA (2023)
Carlo Alberto 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. ICIAP (1) (2022)
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Unsupervised Learning of Unbiased Visual Representations. CoRR (2022)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. CoRR (2022)
Andrea Bragagnolo, Carlo Alberto Barbano
Simplify: A Python library for optimizing pruned neural networks. SoftwareX 17 (2022)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR (2022)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive learning for regression in multi-site brain age prediction. CoRR (2022)
Carlo Alberto 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. CoRR (2021)
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Bridging the gap between debiasing and privacy for deep learning. ICCVW (2021)
Carlo Alberto 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. ICIP (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
EnD: Entangling and Disentangling Deep Representations for Bias Correction. CVPR (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
EnD: Entangling and Disentangling deep representations for bias correction. CoRR (2021)
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. CoRR (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. CoRR (2020)