These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

295 related articles for article (PubMed ID: 37806019)

  • 1. Medical federated learning with joint graph purification for noisy label learning.
    Chen Z; Li W; Xing X; Yuan Y
    Med Image Anal; 2023 Dec; 90():102976. PubMed ID: 37806019
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data.
    Chen Z; Yang C; Zhu M; Peng Z; Yuan Y
    IEEE Trans Med Imaging; 2022 Dec; 41(12):3663-3674. PubMed ID: 35853071
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Federated Noisy Client Learning.
    Tam K; Li L; Han B; Xu C; Fu H
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38039172
    [TBL] [Abstract][Full Text] [Related]  

  • 4. FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting.
    Zhu M; Chen Z; Yuan Y
    IEEE Trans Med Imaging; 2023 Jun; 42(6):1632-1643. PubMed ID: 37018639
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Federated Graph Anomaly Detection via Contrastive Self-Supervised Learning.
    Kong X; Zhang W; Wang H; Hou M; Chen X; Yan X; Das SK
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; PP():. PubMed ID: 38900613
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust Federated Learning for Heterogeneous Model and Data.
    Madni HA; Umer RM; Foresti GL
    Int J Neural Syst; 2024 Apr; 34(4):2450019. PubMed ID: 38414421
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise.
    Zeng B; Yang X; Chen Y; Yu H; Hu C; Zhang Y
    IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37651486
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.
    Tun YL; Nguyen MNH; Thwal CM; Choi J; Hong CS
    Neural Netw; 2023 Aug; 165():689-704. PubMed ID: 37385023
    [TBL] [Abstract][Full Text] [Related]  

  • 9. One-shot Federated Learning without server-side training.
    Su S; Li B; Xue X
    Neural Netw; 2023 Jul; 164():203-215. PubMed ID: 37156215
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.
    Zhao S; Liao T; Fu L; Chen C; Bian J; Zheng Z
    Neural Netw; 2024 Nov; 179():106627. PubMed ID: 39159537
    [TBL] [Abstract][Full Text] [Related]  

  • 11. One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation.
    Kang M; Chikontwe P; Kim S; Jin KH; Adeli E; Pohl KM; Park SH
    Med Image Comput Comput Assist Interv; 2023 Oct; 14221():521-531. PubMed ID: 38204983
    [TBL] [Abstract][Full Text] [Related]  

  • 12. FADngs: Federated Learning for Anomaly Detection.
    Dong B; Chen D; Wu Y; Tang S; Zhuang Y
    IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38241100
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Preserving specificity in federated graph learning for fMRI-based neurological disorder identification.
    Zhang J; Wang Q; Wang X; Qiao L; Liu M
    Neural Netw; 2024 Jan; 169():584-596. PubMed ID: 37956575
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
    Yan R; Qu L; Wei Q; Huang SC; Shen L; Rubin DL; Xing L; Zhou Y
    IEEE Trans Med Imaging; 2023 Jul; 42(7):1932-1943. PubMed ID: 37018314
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PGFed: Personalize Each Client's Global Objective for Federated Learning.
    Luo J; Mendieta M; Chen C; Wu S
    Proc IEEE Int Conf Comput Vis; 2023 Oct; 2023():3923-3933. PubMed ID: 38638407
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Federated Active Learning Framework for Efficient Annotation Strategy in Skin-Lesion Classification.
    Deng Z; Yang Y; Suzuki K
    J Invest Dermatol; 2024 Jun; ():. PubMed ID: 38909844
    [TBL] [Abstract][Full Text] [Related]  

  • 17. IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.
    Jiang M; Yang H; Cheng C; Dou Q
    IEEE Trans Med Imaging; 2023 Jul; 42(7):2106-2117. PubMed ID: 37030858
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Subgraph-level federated graph neural network for privacy-preserving recommendation with meta-learning.
    Han Z; Hu C; Li T; Qi Q; Tang P; Guo S
    Neural Netw; 2024 Nov; 179():106574. PubMed ID: 39096754
    [TBL] [Abstract][Full Text] [Related]  

  • 19. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
    Liu L; Zhang Z; Li S; Ma K; Zheng Y
    Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
    [TBL] [Abstract][Full Text] [Related]  

  • 20. FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction.
    Peng L; Wang N; Dvornek N; Zhu X; Li X
    IEEE Trans Med Imaging; 2023 Jul; 42(7):2032-2043. PubMed ID: 35788451
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.