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20182026
most citedFedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation

16 citations · 38 across the 5 of their papers we have counts for

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Showing 2024Show all

1 paper · 1 filter

eess.IV2024★ 16 cited

MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT

Hartmut Häntze, Lina Xu, Christian J. Mertens +29

Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial…