Vasilis Siomos

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.

[BibT_eX]

[DOI]

CoRR, 2024

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

[BibT_eX]

[DOI]

Maolin Li

CoRR, 2023

ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification.

[BibT_eX]

[DOI]

CoRR, 2023

Contribution Evaluation in Federated Learning: Examining Current Approaches.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]