Vasilis Siomos

According to our database, Vasilis Siomos authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning.

Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas

CoRR, December, 2025

An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration.

Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni

Trans. Mach. Learn. Res., 2025

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation.

Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.

Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection.

Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Sample selection with noise rate estimation in noise learning of medical image analysis.

Maolin Li, Giacomo Tarroni, Vasilis Siomos

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

Contribution Evaluation in Federated Learning: Examining Current Approaches.

Vasilis Siomos, Jonathan Passerat-Palmbach

CoRR, 2023

MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images.

Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

2022

FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning.

Vasilis Siomos, Giacomo Tarroni, Jonathan Passerat-Palmbach

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022