Vasilis Siomos

16 papers Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration.
Trans. Mach. Learn. Res.
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025 — conf
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation.
MICCAI (6)
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025 J jnl
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation.
CoRR
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025 J jnl
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning.
CoRR
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
2024 — conf
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification.
ISBI
Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2024 J jnl
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration.
CoRR
Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2024 — conf
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection.
ISBI
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024 — conf
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.
MICCAI (11)
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024 J jnl
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.
CoRR
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2023 J jnl
ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification.
CoRR
Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2023 J jnl
Contribution Evaluation in Federated Learning: Examining Current Approaches.
CoRR
Vasilis Siomos, Jonathan Passerat-Palmbach
2023 J jnl
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection.
CoRR
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2023 — conf
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images.
DGM4MICCAI
Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni
2023 J jnl
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images.
CoRR
Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni
2023 J jnl
Sample selection with noise rate estimation in noise learning of medical image analysis.
CoRR
Maolin Li, Giacomo Tarroni, Vasilis Siomos
2022 — conf
FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning.
BrainLes@MICCAI (2)
Vasilis Siomos, Giacomo Tarroni, Jonathan Passerat-Palmbach