FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising

Author:

Zhou BoORCID,Xie HuidongORCID,Liu QiongORCID,Chen XiongchaoORCID,Guo XueqiORCID,Feng Zhicheng,Hou Jun,Zhou S. Kevin,Li Biao,Rominger Axel,Shi KuangyuORCID,Duncan James S.ORCID,Liu Chi

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference49 articles.

1. Federated learning with personalization layers;Arivazhagan,2019

2. Ultra–low-dose 18f-florbetaben amyloid PET imaging using deep learning with multi-contrast MRI inputs;Chen;Radiology,2019

3. Exploiting shared representations for personalized federated learning;Collins,2021

4. One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis;Dalmaz,2022

5. Non-local means denoising of dynamic PET images;Dutta;PLoS One,2013

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