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Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.

R. Yan, L. Qu, Q. Wei, S. Huang, L. Shen, D. Rubin, L. Xing, and Y. Zhou. CoRR, (2022)

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Wei Shen

Jian Shen

Wan Shen

Hong Shen

Shen Zhang

Other publications of authors with the same name

AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval.Z. Li, J. Hu, X. Xu, L. Shen, and J. Fessler. CoRR, (2023)AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.Y. Zhang, G. Bai, M. Chamikara, M. Ma, L. Shen, J. Wang, S. Nepal, M. Xue, L. Wang, and J. Liu. WWW, page 2371-2382. ACM, (2023)Learning to Learn from Noisy Web Videos.S. Yeung, V. Ramanathan, O. Russakovsky, L. Shen, G. Mori, and L. Fei-Fei. CVPR, page 7455-7463. IEEE Computer Society, (2017)A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks.M. Khuzani, L. Shen, S. Shahrampour, and L. Xing. CoRR, (2019)AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification.Z. Gong, L. Shen, Y. Zhang, L. Zhang, J. Wang, G. Bai, and Y. Xiang. IEEE Trans. Inf. Forensics Secur., (2024)NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction.L. Shen, J. Pauly, and L. Xing. IEEE Trans. Neural Networks Learn. Syst., 35 (1): 770-782 (January 2024)Machine Learning for Health (ML4H) 2021.S. Roy, S. Pfohl, G. Tadesse, L. Oala, F. Falck, Y. Zhou, L. Shen, G. Zamzmi, P. Mugambi, A. Zirikly and 2 other author(s). ML4H@NeurIPS, volume 158 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2021)Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.B. Song, S. Kwon, Z. Zhang, X. Hu, Q. Qu, and L. Shen. CoRR, (2023)GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition.S. Huang, L. Shen, M. Lungren, and S. Yeung. ICCV, page 3922-3931. IEEE, (2021)Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation.C. Zhao, and L. Shen. CoRR, (2024)

BibSonomy

Disambiguation of "Shen, Liyue"

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Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.

Please choose a person to relate this publication to

Wei Shen

Jian Shen

Wan Shen

Hong Shen

Shen Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shen, Liyue"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.

Please choose a person to relate this publication to

Wei Shen

Jian Shen

Wan Shen

Hong Shen

Shen Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.