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Federated Learning Approach for Measuring the Response of Brain Tumors to Chemotherapy

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FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

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KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing

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Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning

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Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition

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Federated-Learning-Enabled Cross-Modal Semantic Communication for 6G

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Federated Generative Models in Medical Imaging: Current Advances, Challenges, and Future Directions

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A multi-scale channel attention network with federated learning for magnetic resonance image super-resolution

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Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction

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Structure-preserved meta-learning uniting network for improving low-dose CT quality

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OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction

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VSAFL: Verifiable and Secure Aggregation With (Poly) Logarithmic Overhead in Federated Learning

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Independence and Unity: Unseen Domain Segmentation Based on Federated Learning

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SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated LearningPreprint

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FUSION: Uncertainty‐Guided Federated Semi‐Supervised Learning for Medical Image Segmentation

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Leaders: Learnable Deep Radial Subsampling for Mri Reconstruction

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ARMOR: Differential Model Distribution for Adversarially Robust Federated Learning

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Model Aggregation for Federated Learning Considering Non-IID and Imbalanced Data Distribution

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Advancements in Artificial Intelligence-Based Alzheimer's Disease Classification Using Magnetic Resonance Imaging: A Comprehensive Review

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GAN for MRI Reconstruction in Federated Learning

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A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation

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Efficient 3D Representation Learning for Medical Image Analysis

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Aggregation Strategy with Gradient Projection for Federated Learning in Diagnosis

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SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks

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A Bibliometric Analysis on Federated Learning

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Personalized artifacts modeling and federated learning for multi-institutional low-dose CT reconstruction

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FACT: Federated Adaptive Cross Training

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Federated learning using flower framework for enhanced medication safety in intensive care units

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DVG-Diffusion: Dual-View-Guided Diffusion Model for CT Reconstruction From X-Rays

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Secure Federated Learning

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Explainable AI: Methods, Frameworks, and Tools for Healthcare 5.0

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Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration

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Artificial intelligence: The next frontier of perfusion imaging?

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A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean

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Federated Spatial Prior-Based Source-Free Domain Adaptation for White Matter Hyperintensities Segmentation

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Adaptive U-Shaped Split Federated Learning for Image Coding at Resource-Constrained UAV Network

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Federated Prior Learning With Uncertainty Mitigation for Heterogeneous Distributed Devices

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Modality-Agnostic Federated Learning With Adaptive Updates for Heterogeneous Medical Image Tasks

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Federated Learning Applications in Healthcare Informatics: A Comprehensive Review

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Federated Grouping Panoptic Segmentation for LiDAR Point Cloud Based on Convolutional Network

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FLOWS: Federated Learning Optimization With Sinkhorn

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Modal-Centric Insights Into Multimodal Federated Learning for Smart Healthcare: A Survey

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Enhancing MRI reconstruction with cross-silo federated learning

Guo, P., Wang, P., Zhou, J., Jiang, S., & Patel, V. M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-323641-9.00023-6 · Cited by 1

Specificity-Preserving Federated Learning for MR Image Reconstruction

Feng, C.-M., Yan, Y., Wang, S., Xu, Y. D., Shao, L., & Fu, H. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3202106 · Cited by 131

Model-based federated learning for accurate MR image reconstruction from undersampled k-space data

Wu, R., Li, C., Zou, J., Liang, Y., & Wang, S. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108905 · Cited by 9

Federated MRI Reconstruction with Deep Generative Models

Elmas, G., Dar, S. U. H., Korkmaz, Y., Özbey, M., & Çukur, T. (2024) · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · doi:10.58530/2023/1170