Marc Molina Van De Bosch

According to our database, Marc Molina Van De Bosch authored at least 5 papers between 2025 and 2026.

Collaborative distances:

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

2026

DP-KFC: Data-Free Preconditioning for Privacy-Preserving Deep Learning.

Marc Molina Van De Bosch, Riccardo Taiello, Albert Sund Aillet, Andrea Protani, Miguel Ángel González Ballester, Luigi Serio

CoRR, May, 2026

Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-Modal MRI.

Andrea Protani, Marc Molina Van De Bosch, Lorenzo Giusti, Heloisa Barbosa Da Silva, Paolo Cacace, Albert Sund Aillet, Miguel Ángel González Ballester, Friedhelm Hummel, Luigi Serio

CoRR, January, 2026

Federated Transformer-GNN for Privacy-Preserving Brain Tumor Localization with Modality-Level Explainability.

Andrea Protani, Riccardo Taiello, Marc Molina Van De Bosch, Luigi Serio

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-modal MRI.

Andrea Protani, Marc Molina Van De Bosch, Lorenzo Giusti, Heloisa Barbosa Da Silva, Paolo Cacace, Albert Sund Aillet, Friedhelm Hummel, Luigi Serio

Proceedings of the Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis, 2025

The Interplay Between Explainability and Differential Privacy in Federated Healthcare.

Marc Molina Van De Bosch, Andrea Protani, Riccardo Taiello, Lorenzo Giusti, Matilde Carvalho Costa, Ioannis Stathopoulos, Efstathios P. Efstathopoulos, Diogo Reis Santos, Miguel Ángel González Ballester, Luigi Serio

Proceedings of the Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning, 2025