3D multi-modality Transformer-GAN for high-quality PET reconstruction-Reference-Cited by-同舟云学术

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3D multi-modality Transformer-GAN for high-quality PET reconstruction

Published:2024-01 Issue: Volume:91 Page:102983
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Wang Yan,Luo Yanmei^ORCID,Zu Chen,Zhan Bo^ORCID,Jiao Zhengyang,Wu Xi,Zhou Jiliu,Shen Dinggang,Zhou Luping^ORCID

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

Reference65 articles.

1. A new improved version of the realistic digital brain phantom;Aubert-Broche;Neuroimage,2006

2. Twenty new digital brain phantoms for creation of validation image databases;Aubert-Broche;IEEE Trans. Med. Imaging,2006

3. Synthesis of positron emission tomography (PET) images via multi-channel generative adversarial networks (GANs);Bi,2017

4. Clinical applications of PET in brain tumors;Chen;J. Nucl. Med.,2007

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

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1. QGFormer: Queries-guided transformer for flexible medical image synthesis with domain missing;Expert Systems with Applications;2024-08

2. DoseTransfer: A Transformer Embedded Model With Transfer Learning for Radiotherapy Dose Prediction of Cervical Cancer;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-01

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