Progressive dual-domain-transfer cycleGAN for unsupervised MRI reconstruction

Bowen Li; Zhiwen Wang; Ziyuan Yang; Wenjun Xia; Yi Zhang

doi:10.1016/j.neucom.2023.126934

ScienceGate Book Chapters

JOURNAL ARTICLE

Progressive dual-domain-transfer cycleGAN for unsupervised MRI reconstruction

Bowen Li Zhiwen Wang Ziyuan Yang Wenjun Xia Yi Zhang

Year: 2023 Journal: Neurocomputing Vol: 563 Pages: 126934-126934 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2023.126934

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Domain (mathematical analysis) Artificial intelligence Code (set theory) Transfer of learning Unsupervised learning Dual (grammatical number) Labeled data Pattern recognition (psychology) Image (mathematics) Iterative reconstruction Machine learning Mathematics

Metrics

Cited By

2.16

FWCI (Field Weighted Citation Impact)

Refs

0.85

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced MRI Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Medical Imaging Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Progressive dual-domain-transfer cycleGAN for unsupervised MRI reconstruction

Metrics

Citation History

Topics

Related Documents

RADD-CycleGAN: unsupervised reconstruction of high-quality ultrasound image based on CycleGAN with residual attention and dual-domain discrimination

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis

Bootstrapped SSL CycleGAN for Asymmetric Domain Transfer

Feature Map Regularized CycleGAN for Domain Transfer

Unsupervised Multi-Domain Progressive Stain Transfer Guided by Style Encoding Dictionary