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ORCIDVasilis Siomos
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2020 – today
- 2025
[j1]Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni:
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration. Trans. Mach. Learn. Res. 2025 (2025)- [c6]Vasilis Siomos
, Jonathan Passerat-Palmbach, Giacomo Tarroni:
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. MICCAI (6) 2025: 247-257 - [i9]Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni:
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. CoRR abs/2506.22580 (2025) - [i8]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:
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning. CoRR abs/2512.06206 (2025) - 2024
- [c5]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI 2024: 1-5 - [c4]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. ISBI 2024: 1-5 - [c3]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) 2024: 243-253 - [i7]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR abs/2407.06635 (2024) - [i6]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. CoRR abs/2410.02006 (2024) - 2023
- [c2]Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. DGM4MICCAI 2023: 35-44 - [i5]Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. CoRR abs/2307.14701 (2023) - [i4]Vasilis Siomos, Jonathan Passerat-Palmbach:
Contribution Evaluation in Federated Learning: Examining Current Approaches. CoRR abs/2311.09856 (2023) - [i3]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. CoRR abs/2311.14625 (2023) - [i2]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR abs/2311.15453 (2023) - [i1]Maolin Li, Giacomo Tarroni, Vasilis Siomos:
Sample selection with noise rate estimation in noise learning of medical image analysis. CoRR abs/2312.15233 (2023) - 2022
- [c1]Vasilis Siomos, Giacomo Tarroni, Jonathan Passerat-Palmbach:
FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning. BrainLes@MICCAI (2) 2022: 154-160
Coauthor Index
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