most citedIOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation

2 citations · 2 across the 3 of their papers we have counts for

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eess.IV2023

MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction

Chen Cheng, Qingping Zhou

This paper investigates the application of unsupervised learning methods for computed tomography (CT) reconstruction. To motivate our work, we review several existing priors, namel…

eess.IV2022★ 2 cited

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation

Meirui Jiang, Hongzheng Yang, Chen Cheng +1

Federated learning (FL) allows multiple medical institutions to collaboratively learn a global model without centralizing client data. It is difficult, if possible at all, for such…