I am a postdoctoral researcher at University of Turin, Italy. I am part of the EIDOS group at the Computer Science Department. My research focuses on deep learning for medical imaging, with interests on contrastive learning, neuroimaging, multimodality, debiasing and robustness. I received a double Ph.D. from Télécom Paris (Institut Polytechnique de Paris) and University of Turin in 2023, supervised by Pietro Gori (Télécom Paris) and Marco Grangetto (University of Turin).

News:

• Jan. 2025: I am currently a Visiting Researcher at Inria MIND with Prof. Demian Wassermann, to study the connection between functional connectivity and cognition using contrastive learning.
• Dec. 2024: I am happy to announce that I am now a member of ELLIS Society 🎉!
• Mar. 2024: I am member of the newborn Asl To3 Radiomics Lab in Rivoli, Italy.

Ongoing Research

Here is a summary of main main ongoing activities. If you are interested in collaborations do not hesitate to contact me!

• Foundation models / Neuroimaging Learning generalizable representations from large cohorts of neuroimaging data with the aim of transferring knowledge to smaller clinical groups with different conditions (e.g. neurodegenerative and psychiatric disorders). Relevant work: https://arxiv.org/abs/2408.07079 (AnatCL)
• Multimodal Learning Improving representations by leveraging cross-modal interaction (e.g. using text to learn novel visual concepts https://arxiv.org/abs/2411.15611)
• Debiasing and Collateral Learning Learning unbiased models from biased data, both in a supervised or unsupervised fashion. Also providing human-interpretable descriptions of spurious correlations in the data (https://arxiv.org/abs/2408.09570)

Positions

• Jan. 2025 - now Visiting Researcher at Inria MIND
• Dec. 2023 - now Postdoctoral Researcher in deep learning for medical imaging (University of Turin)

Education

• 2020-2023 Ph.D. in Computer Science at Télécom Paris, France (cotutelle with University of Turin, Italy), with the thesis Collateral-Free Learning of Deep Representations: From Natural Images to Biomedical Applications.
• 2018-2020 Master’s degree in Artificial Intelligence at University of Turin, Italy

Selected Publications

• Contrastive learning for regression in multi‑site brain age prediction (Best poster award), C. A. Barbano, B. Dufumier, E. Duchesnay, M. Grangetto, and P. Gori. ISBI, 2023.
• Unbiased Supervised Contrastive Learning, C. A. Barbano, B. Dufumier, E. Tartaglione, M. Grangetto, and P. Gori. ICLR, 2023.
• Integrating Prior Knowledge in Contrastive Learning with Kernel, B. Dufumier, C. A. Barbano, R. Louiset, E. Duchesnay, and P. Gori. ICML, 2023
• End: Entangling and disentangling deep representations for bias correction, E. Tartaglione, C. A. Barbano, and M. Grangetto. CVPR, 2021.