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20232026
most citedExamining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

2 citations · 4 across the 15 of their papers we have counts for

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eess.IV2025

Asynchronous Federated Continual Segmentation with Evolving Clients and Label Spaces

Can Peng, Qianhui Men, Pramit Saha +5

Federated learning seeks to foster collaboration among distributed clients while preserving the privacy of their local data. Traditional federated learning methods typically assume…

eess.IV2024★ 1 cited

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities

Felix Wagner, Wentian Xu, Pramit Saha +7

Segmentation models for brain lesions in MRI are typically developed for a specific disease and trained on data with a predefined set of MRI modalities. Such models cannot segment…