Roberto Di Via

According to our database, Roberto Di Via authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

Automated Landmark Detection for Assessing Hip Conditions: A Cross-Modality Validation of Mri Versus X-Ray.

Roberto Di Via, Vito Paolo Pastore, Francesca Odone, Siôn Glyn-Jones, Irina Voiculescu

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Diffusing DeBias: a Recipe for Turning a Bug into a Feature.

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino

CoRR, February, 2025

Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images.

Roberto Di Via, Francesca Odone, Vito Paolo Pastore

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing.

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Handful of Data: Evaluating Few-Shot Incremental Landmark Detection.

Nikil Patel, Allison Clement, Julian Wyatt, Roberto Di Via, Davide Marinelli, Massimiliano Ciranni, Vito Paolo Pastore, Irina Voiculescu

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

Are X-Ray Landmark Detection Models Fair? A Preliminary Assessment and Mitigation Strategy.

Roberto Di Via, Massimiliano Ciranni, Davide Marinelli, Allison Clement, Nikil Patel, Julian Wyatt, Francesca Odone, Matteo Santacesaria, Irina Voiculescu, Vito Paolo Pastore

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images?

Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024