FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning. - Vasilis Siomos; Giacomo Tarroni; Jonathan Passerat-Palmbach (BrainLes@MICCAI (2), 2022)

MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. - Sergio Naval Marimont; Vasilis Siomos; Giacomo Tarroni (DGM4MICCAI, 2023)

Contribution Evaluation in Federated Learning: Examining Current Approaches. - Vasilis Siomos; Jonathan Passerat-Palmbach (CoRR, 2023)

ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. - Vasilis Siomos; Sergio Naval Marimont; Jonathan Passerat-Palmbach; Giacomo Tarroni (CoRR, 2023)

Sample selection with noise rate estimation in noise learning of medical image analysis. - Maolin Li; Giacomo Tarroni; Vasilis Siomos (CoRR, 2023)

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Matthew Baugh; Vasilis Siomos; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (ISBI, 2024)

ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. - Vasilis Siomos; Sergio Naval Marimont; Jonathan Passerat-Palmbach; Giacomo Tarroni (ISBI, 2024)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Vasilis Siomos; Matthew Baugh; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (MICCAI (11), 2024)

Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. - Vasilis Siomos; Sergio Naval Marimont; Jonathan Passerat-Palmbach; Giacomo Tarroni (CoRR, 2024)

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. - Vasilis Siomos; Jonathan Passerat-Palmbach; Giacomo Tarroni (CoRR, 2025)