Research map: PRISM-FedSeg: enhancing medical image segmentation through self-supervised federated learning with privacy preservation

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Papers in this map

  1. Dataset of breast ultrasound images · Walid Al-Dhabyani · 2019 · 2352 citations · Cited by this paper
  2. Physical PPG signal synthesis via reinforcement learning-based LED control · 2026 · Related
  3. SplitFed: When Federated Learning Meets Split Learning · Chandra Thapa · 2022 · 699 citations · Cited by this paper
  4. HTST-Net: A hierarchical time-distributed network with spatial–temporal feature gated fusion for genomic insertion variant calling · 2026 · Related
  5. Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation · Micah Sheller · 2019 · 575 citations · Cited by this paper
  6. Desynchronization Index: A new connectivity approach for exploring epileptogenic networks · 2026 · Related
  7. Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning · Haokun Fang · 2021 · 424 citations · Cited by this paper
  8. Principal time–frequency component analysis for interpretable motor imagery BCIs · 2026 · Related
  9. A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique · Abeer Saber · 2021 · 422 citations · Cited by this paper
  10. A unified framework for integrated prediction and personalized management of hormonal and mental health disorders · 2026 · Related
  11. Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System · Li Zhang · 2022 · 374 citations · Cited by this paper
  12. SHHN: A Sequential Hierarchy Hybrid Network for multimodal cancer survival prediction · 2026 · Related
  13. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study · Qi Dou · 2021 · 284 citations · Cited by this paper
  14. EMG-derived chaotic feature-based induced pain assessment technique using CNN architecture · 2026 · Related
  15. Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan · Dong Yang · 2021 · 280 citations · Cited by this paper
  16. A hybrid convolutional neural-transformer framework with center-based separation index pruning for depression detection from electroencephalography signals · 2026 · Related
  17. Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation · Zhe Xu · 2023 · 201 citations · Cited by this paper
  18. Atrial fibrillation detection using beat-to-beat RR intervals and deep learning in large databases · 2026 · Related
  19. Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework · Savita Kumbhare · 2023 · 101 citations · Cited by this paper
  20. J-RAS: Mutual adaptation for medical image segmentation via contrastive retrieval-augmented joint optimization · 2026 · Related
  21. PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations · Xiangyun Tang · 2023 · 86 citations · Cited by this paper
  22. FedCL: Federated contrastive learning for multi-center medical image classification · Zhenbing Liu · 2023 · 60 citations · Cited by this paper
  23. An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studies · Ali Abbasian Ardakani · 2022 · 55 citations · Cited by this paper
  24. Semi-supervised multiple evidence fusion for brain tumor segmentation · Ling Huang · 2023 · 29 citations · Cited by this paper
  25. Privacy-preserving decentralized learning methods for biomedical applications · Mohammad Tajabadi · 2024 · 27 citations · Cited by this paper
  26. MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks · Lijuan Yang · 2025 · 27 citations · Cited by this paper
  27. Semi‐supervised medical image segmentation via cross‐guidance and feature‐level consistency dual regularization schemes · Yang Xiaosu · 2023 · 16 citations · Cited by this paper
  28. LWAH-Net: Light Weight Attention-Driven Hybrid Network for Polyp Segmentation in Endoscopic Images · Malik Abdul Manan · 2025 · 7 citations · Cited by this paper
  29. MSCR-Net: Multipath separable convolution-based residual network for segmentation of colorectal polyp · Malik Abdul Manan · 2025 · 5 citations · Cited by this paper
  30. Advancement in semantic segmentation techniques: a comprehensive review for semantic segmentation of colorectal polyps using deep learning · Malik Abdul Manan · 2025 · 5 citations · Cited by this paper
  31. FUSION: Uncertainty‐Guided Federated Semi‐Supervised Learning for Medical Image Segmentation · Abdul Raheem · 2025 · 3 citations · Cited by this paper
  32. FedGA: Genetic Algorithm-Guided Federated Learning for Medical Image Segmentation with Non-IID Features · Faisal Ahmed · 2026 · 3 citations · Cited by this paper
  33. Adaptive Dual‐Model Federated Learning for Generalizable Brain Tumor Segmentation · Abdul Raheem · 2025 · 2 citations · Cited by this paper
  34. MAHFNet: A Multi-Attention hierarchical fusion network for ultrasound image segmentation · Shujin Zhu · 2025 · 2 citations · Cited by this paper
  35. SR-DANet: Sparse-aware super-resolution network based on dynamic adaptive branch for medical image segmentation · Haotian Lu · 2026 · 2 citations · Cited by this paper

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